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CFP: 2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design (IEEE CSCWD 2018), May 9-11, 2018, Nanjing, China
by Shen, Weiming 18 Oct '17

18 Oct '17

(Apologies if you receive multiple copies of this CFP) *************************************************** The 2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design (IEEE CSCWD 2018) May 9-11, 2018, Nanjing, China http://2018.cscwd.org/ *************************************************** Design of complex artifacts and systems requires the cooperation of multidisciplinary design teams. The 2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design (IEEE CSCWD 2018) provides a forum for researchers and practitioners involved in different but related domains to confront research results and discuss key problems. The scope of CSCWD 2018 includes the research and development of collaboration technologies and their applications to the design of processes, products, systems, and services in industries and societies. Collaboration technologies include theories, methods, mechanisms, protocols, software tools, platforms, and services that support communication, coordination and collaboration among people, software and hardware systems. Related fields of research include human-computer interaction, business process management, collaborative virtual environments, enterprise modeling, security and privacy, as well as social aspects and human factors related to collaboration and design. The major topics of interest to the conference include, but are not limited to: * Collaboration theories and methodologies * Collaboration methods, mechanisms, and protocols * Collaboration platforms, software tools, and services * Collaborative computing (Agents, Clouds, Grids, Web Services, Blochchains) * Collaborative processing of Big Data * Collaborative virtual environments * Collaborative wireless sensor networks and Internet of Things * Collaborative workflows * Collaborative workspaces * Interoperability, ontology and semantics * Security and privacy in collaborative systems * Collaboration technology applications in aerospace, automotive, and manufacturing * Collaboration technology applications in architecture, engineering, and construction * Collaboration technology applications in business and administration * Collaboration technology applications in healthcare and homecare * Collaboration technology applications in infrastructure and facility management * Collaboration technology applications in intelligent buildings and smart homes * Collaboration technology applications in logistics and transportation * Collaboration technology applications in power and energy * Collaboration technology applications in social networks and entertainment Submission of Papers ============= Papers reporting original research results and experience are solicited. Each paper, written in English, is limited to 6 pages (IEEE proceedings format), including references and illustrations. Electronic submissions in PDF format are strongly recommended. Submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one of the authors will attend the conference to present the paper. Submission Web Site: https://easychair.org/conferences/?conf=cscwd2018 Publication ============= All submitted papers will be reviewed by program committee members and selected based on their originality, significance, relevance, and clarity of presentation. Accepted papers will be published in the IEEE categorized conference proceedings and will be submitted for indexing to EI (Compendex), DBLP and other indexing services. Authors of selected papers will be invited to submit revised and expanded version of their papers to be considered for publication in special issues of well-known international journals (confirmed with Elsevier Journal: Advanced Engineering Informatics). Contacts ============= Dr. Fang Dong, School of Computer Science and Engineering Southeast University, China fdong(a)seu.edu.cn<mailto:fdong@seu.edu.cn> Dr. Weiming Shen National Research Council Canada wshen(a)ieee.org<mailto:wshen@ieee.org> Important Dates ================ October 30, 2017 Paper submission due February 28, 2018 Author notification March 31, 2018 Final papers due March 31, 2018 Author registrations due May 9-11, 2018 Conference Organized by ============= Southeast University, China Co-Sponsored by ============= IEEE SMC Society CSCWD International Working Group

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Special Issue on Parallel and Distributed Data Mining
by Massimo Cafaro 18 Oct '17

18 Oct '17

Special Issue on Parallel and Distributed Data Mining Information Sciences, Elsevier The sheer volume of new data, which is being generated at an increasingly fast pace, has already produced an anticipated data deluge that is difficult to challenge. We are in the presence of an overwhelming vast quantity of data, owing to how easy is to produce or derive digital data. Even the storage of this massive amount of data is becoming a highly demanding task, outpacing the current development of hardware and software infrastructure. Nonetheless, this effort must be undertaken now for the preservation, organization and long-term maintenance of these precious data. However, the collected data is useless without our ability fully understand and make use of it. Therefore, we need new algorithms to address this challenge. Data mining techniques and algorithms to process huge amount of data in order to extract useful and interesting information have become popular in many different contexts. Algorithms are required to make sense of data automatically and in efficient ways. Nonetheless, even though sequential computer systems performance is improving, they are not suitable to keep up with the increase in the demand for data mining applications and the data size. Moreover, the main memory of sequential systems may not be enough to hold all the data related to current applications. This Special Issue takes into account the increasing interest in the design and implementation of parallel and distributed data mining algorithms. Parallel algorithms can easily address both the running time and memory requirement issues, by exploiting the vast aggregate main memory and processing power of processors and accelerators available on parallel computers. Anyway, parallelizing existing algorithms in order to achieve good performance and scalability with regard to massive datasets is not trivial. Indeed, it is of paramount importance a good data organization and decomposition strategy in order to balance the workload while minimizing data dependences. Another concern is related to minimizing synchronization and communication overhead. Finally, I/O costs should be minimized as well. Creating breakthrough parallel algorithms for high-performance data mining applications requires addressing several key computing problems which may lead to novel solutions and new insights in interdisciplinary applications. Moreover, increasingly the data is spread among different geographically distributed sites. Centralized processing of this data is very inefficient and expensive. In some cases, it may even be impractical and subject to security risks. Therefore, processing the data minimizing the amount of data being exchanged whilst guaranteeing at the same time correctness and efficiency is an extremely important challenge. Distributed data mining performs data analysis and mining in a fundamentally distributed manner paying careful attention to resource constraints, in particular bandwidth limitation, privacy concerns and computing power. The focus of this Special Issue is on all forms of advances in high-performance and distributed data mining algorithms and applications. The topics relevant to the Special Issue include (but are not limited to) the following. TOPICS OF INTEREST Scalable parallel data mining algorithms using message-passing, shared-memory or hybrid programming paradigms Exploiting modern parallel architectures including FPGA, GPU and many-core accelerators for parallel data mining applications Middleware for high-performance data mining on grid and cloud environments Benchmarking and performance studies of high-performance data mining applications Novel programming paradigms to support high-performance computing for data mining Performance models for high-performance data mining applications and middleware Programming models, tools, and environments for high-performance computing in data mining Map-reduce based parallel data mining algorithms Caching, streaming, pipelining, and other optimization techniques for data management in high-performance computing for data mining Novel distributed data mining algorithms SUBMISSION GUIDELINES All manuscripts and any supplementary material should be submitted electronically through Elsevier Editorial System (EES) at http://ees.elsevier.com/ins (http://ees.elsevier.com/ins). The authors must select as “SI:PDDM” when they reach the “Article Type” step in the submission process. A detailed submission guideline is available as “Guide to Authors” at: http://www.elsevier.com/journals/information-sciences/0020-0255/guide-for-a…. IMPORTANT DATES Submission deadline: December 1th, 2017 First round notification: March 1th, 2018 Revised version due: May 1st, 2018 Final notification: June 1st, 2018 Camera-ready due: July 1st, 2018 Publication tentative date: October 2018 Guest editors: Massimo Cafaro, Email: massimo.cafaro(a)unisalento.it University of Salento, Italy and Euro-Mediterranean Centre on Climate Change, Foundation Italo Epicoco, Email: italo.epicoco(a)unisalento.it University of Salento, Italy and Euro-Mediterranean Centre on Climate Change, Foundation Marco Pulimeno, Email: marco.pulimeno(a)unisalento.it University of Salento, Italy - ************************************************************************************ Massimo Cafaro, Ph.D. Associate Professor Dept. of Engineering for Innovation University of Salento, Lecce, Italy Via per Monteroni 73100 Lecce, Italy Voice/Fax +39 0832 297371 Web http://sara.unisalento.it/~cafaro E-mail massimo.cafaro(a)unisalento.it cafaro(a)ieee.org cafaro(a)acm.org CMCC Foundation Euro-Mediterranean Center on Climate Change Via Augusto Imperatore, 16 - 73100 Lecce massimo.cafaro(a)cmcc.it ************************************************************************************

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Call For Papers: The 1st International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention
by Andrii Shalaginov 16 Oct '17

16 Oct '17

Dear Colleague, (Apologies for multiple postings) We would like to invite you to submit your contributions to the 1st International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention. It is co-located with IEEE International Conference on Big Data 2017 that will take place in Boston, USA, December 11-14, 2017. Workshop webpage: https://www.ntnu.edu/iik/digital_forensics/ieeebigdata2017 *** IMPORTANT DATES *** Oct 19, 2017 (Extended from Oct 10, 2017): Due date for full workshop papers submission Nov 5, 2017 (Extended from Nov 1, 2017): Notification of paper acceptance to authors Nov 20, 2017 (Extended from Nov 15, 2017): Camera-ready for accepted papers Dec 11-14, 2017: Workshops *** INTRODUCTION *** The big data paradigm has become inevitable in every aspect of the digital forensics process. Increase in personal devices (such as computers, smart phones, tablets, sensors and storage mediums) results in an expanding volume of potential evidence found in them. The increase in data is one of the largest challenges facing law enforcements’ timely prosecutions; with the effect, that human analysts can no longer be the lone actor in the loop. There is a need to create innovative and advanced models and analysis methods to help human analysts within law enforcements in order to automatically aid with the discovery, correlation, examination, analysis and understanding of evidence in criminal cases. Advanced big data analytics are important for cybercrime investigation and require novel approaches for automation. *** PROPOSED TOPICS *** Note that the topics are not limited to this proposed list. 1. Algorithms - Machine learning-aided analysis - Graph-based detection - Topic modeling - Secure platforms - Distributed storage and processing - Secure collaborative platforms 2. Applications - Network forensics readiness - Cyber threats intelligence - Malware analysis and detection - Emails mining - Events correlations - Access logs analysis - Mobile and Internet of Things forensics - Fraud detection - Database forensics 3. Data - Novel datasets - Digital forensics data simulation - Anonymised case data - Data storage standards - New formats and taxonomies *** PROGRAM CO-CHAIRS *** Andrii Shalaginov, Norwegian University of Science and Technology Katrin Franke, Norwegian University of Science and Technology Jan William Johnsen, Norwegian University of Science and Technology *** PROGRAM COMMITTEE *** Asif Iqbal (KTH Royal Institute of Technology) Bojan Kolosnjaji (Technical University of Munich) Carl Leichter (Norwegian University of Science and Technology) Dmitry Kangin (University of Exeter) Emiliano Casalicchio (Blekinge Institute of Technology) Ethan Rudd (University of Colorado Colorado Springs) Hamid Ebadi (Chalmers University of Technology) Hanno Langweg (Konstanz University of Applied Sciences) Heri Ramampiaro (Norwegian University of Science and Technology) Martin Boldt (Blekinge Institute of Technology) Michael McGuire (Towson University) Olaf M. Maennel (Tallinn University of Technology) Pavel Gladyshev (Dublin School of Computer Science) Pierre Lison (Norwegian Computing Centre) *** PAPER SUBMISSION *** Our workshop invites authors to submit: full-length papers (up to ten pages), short papers (up to six pages) or abstract papers (up to three pages) through the online submission system: https://wi-lab.com/cyberchair/2017/bigdata17/scripts/submitform.php?subarea… Papers have to follow the IEEE 2-column format and the Computer Society Proceedings Manuscript Formatting Guidelines. See formatting instructions here: https://www.ntnu.edu/iik/digital_forensics/ieee-bigdata-2017-formatting-ins… *** BEST PAPERS *** Selected papers are nominated for submission to “Special Issue on Cyber Threat Intelligence and Analytics”. Extended papers should have at least 60% of new material and will be sent through a review process to ensure the quality of contributions. *** CONTACTS*** If you have any questions, do not hesitate to contact Andrii Shalaginov (andrii.shalaginov(a)ntnu.no) and Jan William Johnsen (jan.w.johnsen(a)ntnu.no). Best regards, Andrii Shalaginov, on behalf of Katrin Franke and Jan William Johnsen Norwegian University of Science and Technology, Gjøvik, Norway

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Call For Papers: The 1st International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention
by Andrii Shalaginov 10 Oct '17

10 Oct '17

Dear Colleague, (Apologies for multiple postings) We would like to invite you to submit your contributions to the 1st International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention. It is co-located with IEEE International Conference on Big Data 2017 that will take place in Boston, USA, December 11-14, 2017. Workshop webpage: https://www.ntnu.edu/iik/digital_forensics/ieeebigdata2017 *** IMPORTANT DATES *** Oct 10, 2017 (Extended): Due date for full workshop papers submission Nov 1, 2017 (Extended): Notification of paper acceptance to authors Nov 15, 2017: Camera-ready for accepted papers Dec 11-14, 2017: Workshops *** INTRODUCTION *** The big data paradigm has become inevitable in every aspect of the digital forensics process. Increase in personal devices (such as computers, smart phones, tablets, sensors and storage mediums) results in an expanding volume of potential evidence found in them. The increase in data is one of the largest challenges facing law enforcements’ timely prosecutions; with the effect, that human analysts can no longer be the lone actor in the loop. There is a need to create innovative and advanced models and analysis methods to help human analysts within law enforcements in order to automatically aid with the discovery, correlation, examination, analysis and understanding of evidence in criminal cases. Advanced big data analytics are important for cybercrime investigation and require novel approaches for automation. *** PROPOSED TOPICS *** Note that the topics are not limited to this proposed list. 1. Algorithms - Machine learning-aided analysis - Graph-based detection - Topic modeling - Secure platforms - Distributed storage and processing - Secure collaborative platforms 2. Applications - Network forensics readiness - Cyber threats intelligence - Malware analysis and detection - Emails mining - Events correlations - Access logs analysis - Mobile and Internet of Things forensics - Fraud detection - Database forensics 3. Data - Novel datasets - Digital forensics data simulation - Anonymised case data - Data storage standards - New formats and taxonomies *** PROGRAM CO-CHAIRS *** Andrii Shalaginov, Norwegian University of Science and Technology Katrin Franke, Norwegian University of Science and Technology Jan William Johnsen, Norwegian University of Science and Technology *** PROGRAM COMMITTEE *** Asif Iqbal (KTH Royal Institute of Technology) Bojan Kolosnjaji (Technical University of Munich) Carl Leichter (Norwegian University of Science and Technology) Dmitry Kangin (University of Exeter) Emiliano Casalicchio (Blekinge Institute of Technology) Ethan Rudd (University of Colorado Colorado Springs) Hamid Ebadi (Chalmers University of Technology) Hanno Langweg (Konstanz University of Applied Sciences) Heri Ramampiaro (Norwegian University of Science and Technology) Martin Boldt (Blekinge Institute of Technology) Michael McGuire (Towson University) Olaf M. Maennel (Tallinn University of Technology) Pavel Gladyshev (Dublin School of Computer Science) Pierre Lison (Norwegian Computing Centre) *** PAPER SUBMISSION *** Our workshop invites authors to submit: full-length papers (up to ten pages), short papers (up to six pages) or abstract papers (up to three pages) through the online submission system: https://wi-lab.com/cyberchair/2017/bigdata17/scripts/submitform.php?subarea… Papers have to follow the IEEE 2-column format and the Computer Society Proceedings Manuscript Formatting Guidelines. See formatting instructions here: https://www.ntnu.edu/iik/digital_forensics/ieee-bigdata-2017-formatting-ins… *** BEST PAPERS *** Selected papers are nominated for submission to “Special Issue on Cyber Threat Intelligence and Analytics”. Extended papers should have at least 60% of new material and will be sent through a review process to ensure the quality of contributions. *** CONTACTS*** If you have any questions, do not hesitate to contact Andrii Shalaginov (andrii.shalaginov(a)ntnu.no) and Jan William Johnsen (jan.w.johnsen(a)ntnu.no). Best regards, Andrii Shalaginov, on behalf of Katrin Franke and Jan William Johnsen Norwegian University of Science and Technology, Gjøvik, Norway

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Special Issue on Parallel and Distributed Data Mining
by Massimo Cafaro 09 Oct '17

09 Oct '17

Special Issue on Parallel and Distributed Data Mining Information Sciences, Elsevier The sheer volume of new data, which is being generated at an increasingly fast pace, has already produced an anticipated data deluge that is difficult to challenge. We are in the presence of an overwhelming vast quantity of data, owing to how easy is to produce or derive digital data. Even the storage of this massive amount of data is becoming a highly demanding task, outpacing the current development of hardware and software infrastructure. Nonetheless, this effort must be undertaken now for the preservation, organization and long-term maintenance of these precious data. However, the collected data is useless without our ability fully understand and make use of it. Therefore, we need new algorithms to address this challenge. Data mining techniques and algorithms to process huge amount of data in order to extract useful and interesting information have become popular in many different contexts. Algorithms are required to make sense of data automatically and in efficient ways. Nonetheless, even though sequential computer systems performance is improving, they are not suitable to keep up with the increase in the demand for data mining applications and the data size. Moreover, the main memory of sequential systems may not be enough to hold all the data related to current applications. This Special Issue takes into account the increasing interest in the design and implementation of parallel and distributed data mining algorithms. Parallel algorithms can easily address both the running time and memory requirement issues, by exploiting the vast aggregate main memory and processing power of processors and accelerators available on parallel computers. Anyway, parallelizing existing algorithms in order to achieve good performance and scalability with regard to massive datasets is not trivial. Indeed, it is of paramount importance a good data organization and decomposition strategy in order to balance the workload while minimizing data dependences. Another concern is related to minimizing synchronization and communication overhead. Finally, I/O costs should be minimized as well. Creating breakthrough parallel algorithms for high-performance data mining applications requires addressing several key computing problems which may lead to novel solutions and new insights in interdisciplinary applications. Moreover, increasingly the data is spread among different geographically distributed sites. Centralized processing of this data is very inefficient and expensive. In some cases, it may even be impractical and subject to security risks. Therefore, processing the data minimizing the amount of data being exchanged whilst guaranteeing at the same time correctness and efficiency is an extremely important challenge. Distributed data mining performs data analysis and mining in a fundamentally distributed manner paying careful attention to resource constraints, in particular bandwidth limitation, privacy concerns and computing power. The focus of this Special Issue is on all forms of advances in high-performance and distributed data mining algorithms and applications. The topics relevant to the Special Issue include (but are not limited to) the following. TOPICS OF INTEREST Scalable parallel data mining algorithms using message-passing, shared-memory or hybrid programming paradigms Exploiting modern parallel architectures including FPGA, GPU and many-core accelerators for parallel data mining applications Middleware for high-performance data mining on grid and cloud environments Benchmarking and performance studies of high-performance data mining applications Novel programming paradigms to support high-performance computing for data mining Performance models for high-performance data mining applications and middleware Programming models, tools, and environments for high-performance computing in data mining Map-reduce based parallel data mining algorithms Caching, streaming, pipelining, and other optimization techniques for data management in high-performance computing for data mining Novel distributed data mining algorithms SUBMISSION GUIDELINES All manuscripts and any supplementary material should be submitted electronically through Elsevier Editorial System (EES) at http://ees.elsevier.com/ins (http://ees.elsevier.com/ins). The authors must select as “SI:PDDM” when they reach the “Article Type” step in the submission process. A detailed submission guideline is available as “Guide to Authors” at: http://www.elsevier.com/journals/information-sciences/0020-0255/guide-for-a…. IMPORTANT DATES Submission deadline: December 1th, 2017 First round notification: March 1th, 2018 Revised version due: May 1st, 2018 Final notification: June 1st, 2018 Camera-ready due: July 1st, 2018 Publication tentative date: October 2018 Guest editors: Massimo Cafaro, Email: massimo.cafaro(a)unisalento.it University of Salento, Italy and Euro-Mediterranean Centre on Climate Change, Foundation Italo Epicoco, Email: italo.epicoco(a)unisalento.it University of Salento, Italy and Euro-Mediterranean Centre on Climate Change, Foundation Marco Pulimeno, Email: marco.pulimeno(a)unisalento.it University of Salento, Italy - ************************************************************************************ Massimo Cafaro, Ph.D. Associate Professor Dept. of Engineering for Innovation University of Salento, Lecce, Italy Via per Monteroni 73100 Lecce, Italy Voice/Fax +39 0832 297371 Web http://sara.unisalento.it/~cafaro E-mail massimo.cafaro(a)unisalento.it cafaro(a)ieee.org cafaro(a)acm.org CMCC Foundation Euro-Mediterranean Center on Climate Change Via Augusto Imperatore, 16 - 73100 Lecce massimo.cafaro(a)cmcc.it ************************************************************************************

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CFP: PRIVACY IN STATISTICAL DATABASES 2018 (PSD 2018), Springer LNCS, Valencia, Spain, Sep. 2018
by Joaquin Garcia-Alfaro 06 Oct '17

06 Oct '17

(apologies for cross-posting) PRIVACY IN STATISTICAL DATABASES 2018 (PSD 2018) ================================================ ** CALL FOR PAPERS: SUBMISSION DEADLINE MAY 27, 2018 ** Valencia, Spain, Sep. 26-28, 2018 http://unescoprivacychair.urv.cat/psd2018 1. AIMS AND GOALS ----------------- Privacy in statistical databases is about finding tradeoffs to the tension between the increasing societal and economical demand for accurate information and the legal and ethical obligation to protect the privacy of individuals and enterprises which are the respondents providing the statistical data. In the case of statistical databases, the motivation for respondent privacy is one of survival: statistical agencies or survey institutes cannot expect to collect accurate information from individual or corporate respondents unless these feel the privacy of their responses is guaranteed. Beyond respondent privacy, there are two additional privacy dimensions to be considered: privacy for the data owners (organizations owning or gathering the data, who would not like to share the data they have collected at great expense) and privacy for the users (those who submit queries to the database and would like their analyses to stay private). Co-utility has shown to provide sustainable solutions to user privacy. "Privacy in Statistical Databases 2018" (PSD 2018) is a conference sponsored and organized by the UNESCO Chair in Data Privacy (http://unescoprivacychair.urv.cat) with proceedings published by Springer-Verlag in Lecture Notes in Computer Science. The purpose of PSD 2018 is to attract world-wide, high-level research in statistical database privacy. PSD 2018 is a successor to PSD 2016 (Dubrovnik, Sep. 14-16, 2016 https://unescoprivacychair.urv.cat/psd2016/), PSD 2014 (Eivissa, Sep. 17-19, 2014, http://unescoprivacychair.urv.cat/psd2014/), PSD 2012 (Palermo, Sep. 26-28, 2012, http://unescoprivacychair.urv.cat/psd2012), PSD 2010 (Corfu, Sep. 22-24, 2010, http://unescoprivacychair.urv.cat/psd2010), PSD 2008 (Istanbul, Sep. 24-26, 2008, http://unescoprivacychair.urv.cat/psd2008), PSD 2006 (Rome, Dec. 13-15, 2006, http://crises-deim.urv.cat/psd2006) and PSD 2004 (Barcelona, June 9-11, 2004, http://crises-deim.urv.cat/psd2004), all with proceedings published by Springer in LNCS 9867, LNCS 8744, LNCS 7556, LNCS 6344, LNCS 5262, LNCS 4302 and LNCS 3050, respectively. Those eight PSD conferences follow a tradition of high-quality technical conferences on SDC which started with "Statistical Data Protection-SDP'98", held in Lisbon in 1998 and with proceedings published by OPOCE, and continued with the AMRADS project SDC Workshop, held in Luxemburg in 2001 and with proceedings published in Springer LNCS 2316. Like the aforementioned preceding conferences, PSD 2018 originates in Europe, but wishes to stay a worldwide event in database privacy and SDC. Thus, contributions and attendees from overseas are welcome. 2. ORGANIZATION --------------- PROGRAM COMMITTEE (TO BE CONFIRMED AND POSSIBLY WITH ADDITIONAL NAMES) Jane Bambauer (University of Arizona, USA) Bettina Berendt (KU Leuven, Belgium) Elisa Bertino (CERIAS, Purdue University, USA) Aleksandra Bujnowska (EUROSTAT, European Union) Jordi Castro (Polytechnical University of Catalonia) Anne-Sophie Charest (Université Laval, Québec, Canada) Josep Domingo-Ferrer (Universitat Rovira i Virgili, Catalonia) Joerg Drechsler (IAB, Germany) Khaled El Emam (University of Ottawa, Canada) Mark Elliot (Manchester University, UK) Sarah Giessing (Destatis, Germany) Sara Hajian (Eurecat Technology Center, Catalonia) Alan Karr (CoDA, RTI, USA) Julia Lane (New York University, USA) Bradley Malin (Vanderbilt University, USA) Laura McKenna (Census Bureau, USA) Gerome Miklau (University of Massachusetts-Amherst, USA) Krish Muralidhar (The University of Oklahoma, USA) Anna Oganyan (National Center for Health Statistics, USA) Christine O'Keefe (CSIRO, Australia) Jerry Reiter (Duke University, USA) Yosef Rinott (Hebrew University, Israel) Pierangela Samarati (University of Milan, Italy) David Sánchez (Universitat Rovira i Virgili, Catalonia) Eric Schulte Nordholt (Statistics Netherlands) Natalie Shlomo (University of Manchester, UK) Aleksandra Slavkovic (Penn State University, USA) Jordi Soria-Comas (Universitat Rovira i Virgili, Catalonia) Tamir Tassa (The Open University, Israel) Vicenc Torra (Skövde University, Sweden) Vassilios Verykios (Hellenic Open University, Greece) William E. Winkler (Census Bureau, USA) Peter-Paul de Wolf (Statistics Netherlands) PROGRAM CHAIR Josep Domingo-Ferrer (UNESCO Chair in Data Privacy, Universitat Rovira i Virgili, Catalonia) GENERAL CHAIR Francisco Montes Suay (Universitat de València, Spain) ORGANIZATION COMMITTEE Joaquin Garcia-Alfaro (Télécom SudParis, France) Jesus Manjón (Universitat Rovira i Virgili, Catalonia) Romina Russo (Universitat Rovira i Virgili, Catalonia) 3. TOPICS OF INTEREST --------------------- Topics of interest include but are not limited to: - New anonymization methods for tabular data - New anonymization methods for microdata (including non-conventional microdata types such as trajectories, graphs, etc.) - Best anonymization practices for tabular data - Best anonymization practices for microdata - Co-utility for privacy preservation - Big data anonymization - Streaming data anonymization - Decentralized anonymization - Balancing data quality and data confidentiality in SDC - Differential privacy and other privacy models - SDC transparency issues - Onsite access centers - Remote access facilities - SDC software - Estimating disclosure risk in SDC - Record linkage methods - Real-life disclosure scenarios in EU-member states and abroad - Privacy preserving data mining (both cryptographic and non-cryptographic) - Private information retrieval - Privacy in web-based e-commerce - Privacy in healthcare - Privacy in official and corporate statistics - Other data anonymization issues 4. SUBMISSIONS -------------- Full papers containing either original technical contributions or high-quality surveys on the above topics or on related topics are sought. Camera-ready versions of accepted papers should be prepared using the LaTeX2e style or the Word template of Springer Verlag Lecture Notes in Computer Science. For LaTeX2e, a macro package llncs.zip and an example file typeinst.zip can be downloaded from http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 For Microsoft Word, a template word.zip can be downloaded from the same page above. We encourage authors to use the above formats already for their submissions. The submission Web page for PSD 2018 is: https://easychair.org/conferences/?conf=psd2018 LENGTH OF SUBMISSIONS --------------------- Using the above format with 11 point font, the paper should be at most 12 pages excluding bibliography and appendices, and at most 16 pages total. Committee members are not required to read appendices; the paper should be intelligible without them. Submissions not meeting these guidelines risk rejection without consideration of their merits. 5. PROCEEDINGS -------------- Among PSD 2018 accepted papers, a selection will be made based on quality and coverage and the selected papers will be published in the Lecture Notes in Computer Science (LNCS) series by Springer. This follows the tradition of the previous PSD conferences. The remaining accepted papers will be published in a CD with an ISBN. It is possible to submit a paper directly for the CD, which benefits from a later submission deadline (see CD-only dates below). The form of publication of an accepted paper will be clearly specified in the acceptance message. Both the LNCS volume and the CD will be *available at the conference*. 6. IMPORTANT DATES ------------------ Submission deadline: **MAY 27, 2018** Acceptance notification: June 29, 2018 Proceedings version due: July 9, 2018 Conference: Sep. 26-28, 2018 CD-only submission deadline: July 9, 2018 CD-only acceptance notification: July 30, 2018 CD-only proceedings version due: Aug. 10, 2018 7. VENUE AND TRAVEL ------------------- The conference will take place at the Botanical Garden of the Universitat de València, located in the old city of Valencia. http://www.jardibotanic.org/index.php?apid=presentacio-226 Further venue, travel and accomodation information will be posted in due course at http://unescoprivacychair.urv.cat/psd2018 A number of travel grants are made available by the UNESCO Chair in Data Privacy, especially for authors and delegates from transition countries. Information on grants is posted in the conference web site. 8. REGISTRATION --------------- Registration information will be posted no later than June 2018 at http://unescoprivacychair.urv.cat/psd2018

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[SIMPDA2017] Submission Deadline Approaching: October 14, 2017
by Fulvio Frati 05 Oct '17

05 Oct '17

** Submission Deadline Approaching: October 14, 2017 ** [Apologies if you receive multiple copies of this cfp] **************************************************************************** *** SIMPDA 2017 SEVENTH INTERNATIONAL SYMPOSIUM ON DATA-DRIVEN PROCESS DISCOVERY AND ANALYSIS 6-8 DECEMBER, 2017 - NEUCHATEL, SWITZERLAND http://simpda2017.di.unimi.it **************************************************************************** *** ## About SIMPDA With the increasing automation of business processes, growing amounts of process data become available. This opens new research opportunities for business process data analysis, mining and modeling. The aim of the IFIP 2.6 International Symposium on Data-Driven Process Discovery and Analysis is to offer a forum where researchers from different communities and the industry can share their insight in this hot new field. The Symposium will feature a number of keynotes illustrating advanced approaches, shorter presentations on recent research, a competitive PhD seminar and selected research and industrial demonstrations. This year the symposium will be held in Neuchatel. ###Call for Papers The IFIP International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA 2017) offers a unique opportunity to present new approaches and research results to researchers and practitioners working in business process data modelling, representation and privacy-aware analysis. The symposium will bring together leading researchers, engineers and scientists from around the world. Full papers must not exceed 15 pages. Short papers are limited to at most 4 pages. All papers must be original contributions, not previously published or under review for publication elsewhere. All contributions must be written in English and must follow the LNCS Springer Verlag format. Templates can be downloaded from: http://www.springer.de/comp/lncs/authors.html Accepted papers will be published in a pre-proceeding volume of CEUR workshop series. The authors of the accepted papers will be invited to submit extended articles to a post-symposium proceedings volume which will be published in the LNBIP series (Lecture Notes in Business Information Processing, http://www.springer.com/series/7911), scheduled for late 2018 (extended papers length will be between 7000 and 9000 words). Around 10-15 papers will be selected for publication after a second round of review. ### Topics Topics of interest for submission include, but are not limited to: - Business Process Modeling languages, notations and methods - Lightweight Process Model - Data-aware and data-centric approaches - Process Mining with Big Data - Variability and configuration of process models - Process simulation and static analyses - Process data query languages - Process data mining - Privacy-aware process data mining - Process metadata and semantic reasoning - Process patterns and standards - Foundations of business process models - Resource management in business process execution - Process tracing and monitoring - Process change management and evolution - Business process lifecycle - Case studies and experience reports - Social process discovery - Crowdsourced process definition and discovery ### Workshop Format: In accordance to our historical tradition of proposing SIMPDA as a symposium, we propose an innovative format for this workshop: The number of sessions depend on the number of submissions but, considering the previous editions, we envisage to have four sessions, with 4-5 related papers assigned to each session. A special session (with a specific review process) will be dedicated to discuss research plan from PhD students. Papers are pre-circulated to the authors that will be expected to read all papers in advance but to avoid exceptional overhead, two are assigned to be prepared with particular care, making ready comments and suggestions. The bulk of the time during each session will be dedicated to open conversations about all of the papers in a given session, along with any linkages to the papers and discussions within an earlier session. The closing session (30 minutes), will include a panel about open challenges during which every participant will be asked to assemble their thoughts/project ideas/goals/etc that they got out of the workshop. ### Call for PhD Research Plans The SIMPDA PhD Seminar is a workshop for Ph.D. students from all over the world. The goal of the Seminar is to help students with their thesis and research plans by providing feedback and general advice on how to use their research results. Students interested in participating in the Seminar should submit an extended abstract describing their research. Submissions can relate to any aspect of Process Data: technical advances, usage and impact studies, policy analyses, social and institutional implications, theoretical contributions, interaction and design advances, innovative applications, and social implications. Research plans should be at most of 5 page long and should be organised following the following structure: - Abstract: summarises, in 5 line, the research aims and significance. - Research Question: defines what will be accomplished by eliciting the relevant the research questions. - Background: defines the background knowledge providing the 5 most relevant references (papers or books). - Significance: explains the relevance of the general topic and of the specific contribution. - Research design and methods: describes and motivates the method adopted focusing on: assumptions, solutions, data sources, validation of results, limitations of the approach. - Research stage: describes what the student has done so far. ### SIMPDA PhD award A doctoral award will be given by the SIMPDA PhD Jury to the best research plan submitted. Student Scholarships An application for a limited number of scholarships aimed at students coming from emerging countries has been submitted to IFIP. In order to apply, please contact paolo.ceravolo(a)unimi.it ### CALL for Demonstrations and Posters Demonstrations showcase innovative technology and applications, allowing for sharing research work directly with colleagues in a high-visibility setting. Demonstration proposals should consist of a title, an extended abstract, and contact information for the authors, and should not exceed 10 pages. Posters allow the presentation of late-breaking results in an informal, interactive manner. Poster proposals should consist of a title, an extended abstract, contact information for the authors, and should not exceed 2 pages. Accepted demonstrations and posters will be presented at the symposium. Abstracts will appear in the proceedings. ### Important Dates - Paper Submission: 14 October 2017 - Submission of PhD Presentations: 14 October 2017 - Notification of Acceptance: 19 November 2017 - Submission of Camera Ready Papers: 28 November 2017 - Second International Symposium on Process Data: 6-8 December 2017 - Post-proceeding submissions: 30 March 2018 ## Keynote Speakers * Enabling largely automated social media analytics * Karl Aberer Distributed Information Systems Laboratory (LSIR), EPFL In this talk we will report on our recent advances in automating the analysis of social media data. We first will review our recent work on a platform for analysing social media data in terms of topics discussed, communities and their influencers. This platform has been successfully used in a number of practical use case. When using the platform we identified the creation of domain-specific taxonomies as the main bottleneck in the analysis process. To tackle this issue we developed a novel method for taxonomy induction from domain-specific document corpora. In the second part of the talk we will discuss this method and some of the novel ideas that enabled us to produce high quality domain-specific taxonomies on the fly. ## Organizers ### CHAIRS - Paolo Ceravolo, Università degli Studi di Milano, Italy - Maurice van Keulen, University of Twente, The Netherlands - Kilan Stoffel, University of Neuchatel, Switzerland ### ADVISORY BOARD - Ernesto Damiani, Università degli Studi di Milano, Italy - Erich Neuhold, University of Vienna, Austria - Philippe Cudré-Mauroux , University of Fribourg, Switzerland - Robert Meersman, Graz University of Technology, Austria - Wilfried Grossmann, University of Vienna, Austria ### Program Committee - Akhil Kumar, Penn State University, USA - Benoit Depaire, University of Hasselt, Belgium - Chintan Mrit, University of Twente, The Netherlands - Christophe Debruyne, Trinity College Dublin, Ireland - Ebrahim Bagheri, Ryerson University, Canada - Edgar Weippl, TU Vienna, Austria - Fabrizio Maria Maggi, University of Tartu, Estonia - George Spanoudakis, City University London, UK - Haris Mouratidis, University of Brighton, UK - Isabella Seeber, University of Innsbruck, Austria - Jan Mendling, Vienna University of Economics and Business, Austria - Josep Carmona, UPC - Barcelona, Spain - Kristof Boehmer, University of Vienna, Austria - Manfred Reichert, Ulm University, Germany - Marcello Leida, TAIGER, Spain - Mark Strembeck, WU Vienna, Austria - Massimiliano De Leoni, Eindhoven TU, Netherlands - Matthias Weidlich, Imperial College, UK - Mazak Alexandra, University of Vienna, Austria - Mohamed Mosbah, University of Bordeaux - Mustafa Jarrar, Birzeit University, Palestine - Robert Singer, FH Joanneum, Austria - Roland Rieke, Fraunhofer SIT, Germany - Schahram Dustdar, Vienna University of Technology, Austria - Thomas Vogelgesang, University of Oldenburg, Germany - Valentina Emilia Balas, University of Arad, Romania - Wil Van der Aalst, Technische Universiteit Eindhoven, The Netherlands

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Unsubscribe message
by list.master＠lists.iccsa.org 02 Oct '17

02 Oct '17

Some of you may have seen a message sent yesterday, about being unsubscribed from the mailing list. The message was sent in error. Please ignore it. Thank you.

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CFP Second Tutorial on the SARL Agent Programming Language
by stephane.galland＠utbm.fr 02 Oct '17

02 Oct '17

Second Tutorial on the SARL Agent Programming Language http://www.multiagent.fr/Conferences:TutorialSARL18 http://cs-conferences.acadiau.ca/ant-18/#tutorial The 9th International Conference on Ambient Systems, Networks and Technologies (ANT-2018) http://cs-conferences.acadiau.ca/ant-18/ May 08-11, 2018 Porto, Portugal Research on Agents and Multi-Agent Systems has matured during the last decade and many effective applications of this technology are now deployed. SARL aims at providing the fundamental abstractions for dealing with concurrency, distribution, interaction, decentralization, reactivity, autonomy and dynamic reconfiguration. These high-level features are now considered as the major requirements for an easy and practical implementation of modern complex software applications. We are convinced that the agent-oriented paradigm holds the keys to effectively meet this challenge. Considering the variety of existing approaches and meta-models in the field of agent-oriented engineering and more generally multi-agent systems, our approach remains as generic as possible and highly extensible to easily integrate new concepts and features. The SARL Tutorial 2018 provides introduction and explanation the modeling and implementation of multiagent systems with the SARL agent programming language. The tutorial session will be held in Porto, Portugal (08-11 May 2018) during the 9th International Conference on Ambient Systems, Networks, and Technologies (ANT 2018). The exact date will be provided into the ANT-28 program. ==== Tutorial Outline ==== The following points will be treated duing the tutorial. - Genesis of SARL. - Basic Concepts (Agent, Event, Space, Behavior) with simple examples. - Using Agent Communication Language with SARL - Doing simulation with SARL: traffic and drone simulation examples. - Major installation guidelines The duration of the tutorial is 1:30. Online resources: http://www.sarl.io ==== Tutorial Chairs ==== Stéphane GALLAND <stephane.galland(a)utbm.fr>, Burgundy Franche-Comte University, France Nicolas GAUD <nicolas.gaud(a)utbm.fr>, Burgundy Franche-Comte University, France Sebastian RODRIGUEZ <sebastian.rodriguez(a)gitia.org>, Universidad Technologica National, Argentina

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CFP Second International Workshop on Agent-based Modeling and Applications with SARL
by stephane.galland＠utbm.fr 02 Oct '17

02 Oct '17

Second International Workshop on Agent-based Modeling and Applications with SARL (SARL-18) http://www.multiagent.fr/Conferences:SARL18 http://cs-conferences.acadiau.ca/ant-18/#workshop_approved The 9th International Conference on Ambient Systems, Networks and Technologies (ANT-2018) http://cs-conferences.acadiau.ca/ant-18/ May 08-11, 2018 Porto, Portugal * Important Dates * =================== - Submission deadline: December 15, 2017 - Notification: February 5, 2018 - Final date for camera-ready copy: March 5, 2018 - Workshop: May 8-10, 2018 Research on Agents and Multi-Agent Systems has matured during the last decade and many effective applications of this technology are now deployed. SARL-18 provides an international forum to present and discuss the latest scientific developments and their effective applications, to assess the impact of the approach, and to facilitate technology transfer. SARL-18 borns with the SARL agent programming language, but the scientific results presented in SARL-18 are not restricted to SARL; other languages and agent platforms may be concerned by the proposed papers. SARL aims at providing the fundamental abstractions for dealing with concurrency, distribution, interaction, decentralization, reactivity, autonomy and dynamic reconfiguration. These high-level features are now considered as the major requirements for an easy and practical implementation of modern complex software applications. We are convinced that the agent-oriented paradigm holds the keys to effectively meet this challenge. Considering the variety of existing approaches and meta-models in the field of agent-oriented engineering and more generally multi-agent systems, our approach remains as generic as possible and highly extensible to easily integrate new concepts and features. The goal of SARL-18 is to provides a place where the different points of view on the modeling and the simulation with agent platforms and agent programming languages may be discussed. Tutorial sessions for introducing and explaining the modeling and implementation of multiagent systems with SARL will be organized during the workshop. The authors may contribute to the SARL-18 workshop by providing a paper or a tutorial. For submitting a tutorial, the authors must send a summary of the tutorial on 4 to 6 pages. SARL-18 will be held in Porto, Portugal (08-11 May 2018) in conjunction with the 9th International Conference on Ambient Systems, Networks, and Technologies (ANT 2018). Topics ====== The main topics of the SARL-18 workshop are (but not restricted to): - Methods and Models: - Agent based Modeling and Simulation - Agent programming language - Agent based Simulation - Agent oriented analysis and design methods - Ontologies and theories about large urban systems - Formal models of agent-based simulation - Organizational models - Applications: - Traffic/Transport - Crowds - Smard grids and smart buildings - Land-Use - Energy ORGANIZATION COMMITTEE ====================== Stéphane GALLAND <stephane.galland(a)utbm.fr>, Burgondy Franche-Comte University, France Nicolas GAUD <nicolas.gaud(a)utbm.fr>, Burgondy Franche-Comte University, France Sebastian RODRIGUEZ <sebastian.rodriguez(a)gitia.org>, Universidad Technologica National, Argentina

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Recruitment - Postdoc / Research Fellow on Cyber-Physical Security at SUTD, Singapore
by Jianying Zhou 02 Oct '17

02 Oct '17

Singapore University of Technology and Design (SUTD) is a young university which was established in collaboration with MIT. iTrust is a Cyber Security Research Center with about 15 multi-discipline faculty members from SUTD. It has the world’s best facilities in cyber-physical systems (CPS) including testbeds for Secure Water Treatment (SWaT), Water Distribution (WADI), Electric Power and Intelligent Control (EPIC), and IoT. (See more info at https://itrust.sutd.edu.sg/research/testbeds/) I am looking for postdocs / research fellows with expertise on cyber-physical system security, especially on the legacy CPS protection. The candidates should have track record of strong R&D capability, be able to perform deep system-level investigations of security mechanisms, be a good team player, and also have good written/oral communication skills. The position will provide an excellent opportunity to perform both basic and translational research in close collaboration with industry. Successful candidates will be offered internationally competitive remuneration, and enjoy high-quality living and low tax rates in Singapore. Interested candidates please send your CV with a research statement to Prof. Jianying Zhou. Contact: Prof. Jianying Zhou Email: jianying_zhou(a)sutd.edu.sg Home: http://jianying.space/

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IEEE HiPC 2017 - Student Research Symposium, DDDSS Workshop Deadlines Extended & Keynotes Announced
by Anand Panangadan 01 Oct '17

01 Oct '17

Release: 26 September 2017 - STUDENT RESEARCH SYMPOSIUM (SRS) Submission deadline extended to September 30 - Workshop on Dynamic Data Driven Smart Systems (DDDSS) Submission deadline extended to October 15 - KEYNOTE SPEAKERS ANNOUNCED - CONFERENCE PROGRAM ------------------------------------------------------------ ------------------------------------ 24th IEEE International Conference on High Performance Computing, Data, and Analytics HiPC 2017 December 18-21, 2017 Jaipur, India http://www.hipc.org https://twitter.com/hipcconf https://www.facebook.com/hipc.conference/ https://plus.google.com/+HipcOrg ------------------------------------------------------------ ------------------------------------ 10th HiPC Student Research Symposium (SRS) HiPC 2017 will feature the 10th Student Research Symposium on High Performance Computing, Data, and Analytics (HPC) aimed at stimulating and fostering student research, and providing an international forum to highlight student research accomplishments. The symposium will also provide exposure to students in the best practices in HPC in academia and industry. The Conference Reception and multiple Student Symposium Poster Exhibit sessions will provide an opportunity for students to interact with HPC researchers and practitioners (and recruiters) from academia and industry. Papers are solicited in all areas of high-performance computing, data, and analytics. Awards for Best Poster will be presented at the symposium. IMPORTANT DATES Sep 30, 2017 - Submission Deadline (Extended) See the SRS Call for Papers page at http://hipc.org/student- research-symposium/ ------------------------------------------------------------ ------------------------------------ Workshop on Dynamic Data Driven Smart Systems (DDDSS) http://hipc.org/dynamic-data-driven-smart-systems-workshop/ ------------------------------------------------------------ ------------------------------------ We invite original articles, position papers, and short presentations on research that explores *systems, algorithms, applications, and support areas* related to InfoSymbiotics/DDDAS for emerging technologies. Participants are encouraged to submit papers on topics including, but not limited to: - Coordinated control frameworks in IoT and Smart Systems - Tracking methods and situational awareness - Security, authentication, and privacy in smart systems - Dynamic energy and energy-aware systems - Earth and space systems and environments - Structural and process monitoring applications - Assimilation and uncertainty quantification The papers accepted for presentation in HiPC 2017 workshops will be included in the workshops volume of the proceedings of the conference, which will be distributed online in two volumes with a separate ISBN for the workshops (HiPCW 2017). Post conference, papers presented at the conference and eligible for inclusion will be submitted to the IEEE Xplore Digital Library. Selected papers will be invited for publication in a special issue of the Journal of Cluster Computing. ------------------------------------------------------------ ------------------------------------ ****HiPC 2017 KEYNOTE SPEAKERS ANNOUNCED**** ------------------------------------------------------------ ------------------------------------ Parthasarathy Ranganathan (Distinguished Engineer, Google) Topic: End of Moore’s Law: Or, a computer architect’s mid-life crisis? Rajeev Rastogi (Director of Machine Learning, Amazon) Topic: Machine Learning @ Amazon Ian Foster (Professor of Computer Science, University of Chicago; Senior Scientist and Distinguished Fellow, Argonne National Lab) Topic: Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales ------------------------------------------------ HiPC 2017 CONFERENCE PROGRAM ------------------------------------------------ The conference technical program will showcase three keynote speakers and three days of single track presentations of peer reviewed papers from all over the world. The full program will include workshops and special plenary sessions covering Machine Learning & Mathematical Modeling and HPC Initiatives in India. The conference encourages industry participation in the main technical program and workshops, as well as the Industry, Research and User Symposium (IRUS) and vendor exhibition. On days 2 and 3, there will be a full program of industry exhibits and events. Various sponsorship opportunities are available as described at the the conference website. Titanium and Platinum sponsors are also provided a forum to drive Industry BOF sessions. ------------------------------------------------ HiPC 2017 ORGANIZATION ------------------------------------------------ General Co-Chairs: Chiranjib Sur, Shell, India Yinglong Xia, Huawei Research America, USA Steering Committee Chair: Viktor K. Prasanna, University of Southern California, USA Vice General Chairs: Kishore Kothapalli, IIIT-Hyderabad, India Anand Panangadan, California State University, Fullerton, USA Program Chair Ümit V. Çatalyürek, Georgia Institute of Technology, USA Program Vice-Chairs Algorithms: Olivier Beaumont, INRIA, France Applications: Ananth Kalyanaraman, Washington State University, USA Architecture: Yuan Xie, University of California at Santa Barbara, USA System Software: Gagan Agrawal, The Ohio State University, USA Industry Liaison Co-Chairs: Rama Govindaraju, Google, USA Jigar Halani, Wipro, India Vivek Yadav, FullStackNet, India Workshops Co-Chairs: Manish Parashar, Rutgers University, USA Saumil Merchant, Shell, India Student Research Symposium Co-Chairs: Kishore Kothapalli, IIIT-Hyderabad, India Madhura Purnaprajna, Amrita University, India Ashok Srinivasan, Florida State University, USA Industry, Research, and User Symposium Co-Chairs: R. Badrinath, Ericcson, India Seetha Rama Krishna Nookala, Intel, India Indian Academia Liaisons Chair: Yogesh Simmhan, IISc, Bangalore, India Proceedings Chair: Ren Chen, University of Southern California, USA Publicity Chairs: Anand Panangadan, California State University, Fullerton, USA Ravindra Sure, IBM, India ------------------------------------------------ HiPC 2017 SPONSORSHIP ------------------------------------------------ See details for Industry Sponsorship at http://hipc.org/sponsorship- levels-how-to/ ------------------------------------------------------------ ------------------- HiPC 2017 is co-sponsored by •IEEE Computer Society Technical Committee on Parallel Processing (TCPP) •HiPC Education Trust, India In cooperation with •ACM Special Interest Group on Algorithms and Computation Theory (SIGACT) •ACM Special Interest Group on Computer Architecture (SIGARCH) •FIP Working Group on Concurrent Systems •Manufacturers' Association for Information Technology (MAIT) •National Association of Software and Service Companies (NASSCOM) ------------------------------------------------------------ ------------------------------------

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FPS 2017: Call for Participation
by Abdessamad Imine 01 Oct '17

01 Oct '17

(Apologies for multiple copies) CALL FOR PARTICIPATION ********************************************************************************** The 10th International Symposium on Foundations & Practice of Security (FPS 2017) October 23-24-25, 2017 Nancy, France Website: http://fps2017.loria.fr/ ********************************************************************************** List of accepted papers: ----------------------- http://fps2017.loria.fr/accepted-papers/ Conference program: ------------------- http://fps2017.loria.fr/program/ Online registration: -------------------- http://fps2017.loria.fr/registration/ Scope: ------ Protecting the communication and data infrastructure of an increasingly inter-connected world has become vital to the normal functioning of all aspects of our world. Security has emerged as an important scientific discipline whose many multifaceted complexities deserve the attention and synergy of the mathematical, computer science and engineering communities. After the previous meetings held in La Rochelle, Montreal, Grenoble, Toronto, Paris, Clermont-Ferrand and Quebec city, this 10th edition of the FPS symposium will be held in Nancy, France. The aim of FPS is to discuss and exchange theoretical and practical ideas that address security issues in inter-connected systems. It aims to provide scientific presentations as well as to establish links, promote scientific collaboration, joint research programs, and student exchanges between institutions involved in this important and fast moving research field. We also invite papers from researchers and practitioners working in security, privacy, trustworthy data systems and related areas to submit their original papers. The main topics, but not limited to, include: * Computer and Network Security * Formal foundations in Information or Operational Security * Security of Service Oriented Architectures * Information Theoretic Security * Security of Cloud Computing * Security Management and Security Policies * Policy-based Security Architectures * Security of P2P systems * Security & Privacy on Social Networks * Access Control Languages * Data Mining & Watermarking * Cryptography & Cryptanalysis * Threat Analysis and Trust Management * Privacy & Sensitive Data Management * Policy-based Distributed Information Systems * Security in Sensor Networks and RFIDs * Security of Cloud Computing, Grid Computing * Security of Distributed Embedded Middleware * Distributed Security Protocols & Policies * Security and Privacy in Digital Currencies * Malware, Botnet and Advanced Persistent Threats * Code Reverse Engineering and Vulnerability Exploitation * Side Channel & Physical Attacks * Social Engineering * Security of Big-Data Committees: ------------ General Chairs: - Luigi Logrippo (Université du Québec en Outaouais, Canada) - Jean-Yves Marion (Mines de Nancy, France) PC Chairs: - José M. Fernandez (Polytechnique Montréal, Canada) - Abdessamad Imine (Université de Lorraine, Nancy, France) Publications Chair: - Joaquin Garcia-Alfaro (Telecom SudParis, France) Publicity Chairs: - Pascal Lafourcade (Université d’Auvergne, France) - Nur Zincir-Heywood (Dalhousie University, Canada) Program Committee: - Esma Aimeur (University of Montreal, Canada) - Jeremy Clark (Concordia University, Canada) - Frédéric Cuppens (IMT Atlantique, France) - Nora Cuppens (IMT Atlantique, France) - Jean-Luc Danger (Télécom Paris-Tech, France) - Mourad Debbabi (Concordia University, Canada) - Josée Desharnais (Laval University, Canada) - Josep Domingo-Ferrer (Universitat Rovira i Virgili, Spain) - Samuel Dubus (NOKIA Bell Labs, France) - Sébastien Gambs (Université du Québec à Montréal, Canada) - Joaquin Garcia-Alfaro (Telecom SudParis, France) - Dieter Gollmann (Hamburg University of Technology, Germany) - Sushil Jajodia (George Mason University, USA) - Martin Johns (SAP Research, Germany) - Bruce Kapron (University of Victoria, Canada) - Nizar Kheir (THALES, France) - Raphaël Khoury (Université du Québec à Chicoutimi, Canada) - Hyoungshick Kim (Sungkyunkwan University, Republic of Korea) - Igor Kotenko (SPIIRAS, Russia) - Evangelos Kranakis (Carleton University Computer Science, Canada) - Pascal Lafourcade (Université d'Auvergne, France) - Luigi Logrippo (Université du Québec en Outaouais, Canada) - Javier Lopez (University of Malaga, Spain) - Jean-Yves Marion (Mines de Nancy, France) - Fabio Martinelli (National Research Council of Italy (CNR), Italy) - Paliath Narendran (University at Albany, USA) - Guillermo Navarro-Arribas (Universitat Autonoma de Barcelona, Spain) - Jun Pang (University of Luxembourg, Luxembourg) - Marie-Laure Potet (VERIMAG, France) - Silvio Ranise (FBK, Security and Trust Unit, Italy) - Indrakshi Ray (Colorado State University, USA) - Michaël Rusinowitch (LORIA-INRIA Nancy, France) - Basit Shafiq (Lahore University of Management Sciences, Pakistan) - Anna Squicciarini (Pennsylvania State University, USA) - Natalia Stakhanova (University of New Brunswick, Canada) - Chamseddine Talhi (École de Technologie Supérieure, Canada) - Nadia Tawbi (Université Laval, Canada) - Rakesh Verma (University of Houston, USA) - Lingyu Wang (Concordia University, Canada) - Edgar Weippl (SBA Research, Austria) - Lena Wiese (Georg-August Universität Göttingen, Germany) - Xun Yi (RMIT University, Australia) - Nur Zincir-Heywood (Dalhousie University, Canada) - Mohammad Zulkernine (Queen's University, Canada)

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Special Issue on Parallel and Distributed Data Mining
by Massimo Cafaro 28 Sep '17

28 Sep '17

Special Issue on Parallel and Distributed Data Mining Information Sciences, Elsevier The sheer volume of new data, which is being generated at an increasingly fast pace, has already produced an anticipated data deluge that is difficult to challenge. We are in the presence of an overwhelming vast quantity of data, owing to how easy is to produce or derive digital data. Even the storage of this massive amount of data is becoming a highly demanding task, outpacing the current development of hardware and software infrastructure. Nonetheless, this effort must be undertaken now for the preservation, organization and long-term maintenance of these precious data. However, the collected data is useless without our ability fully understand and make use of it. Therefore, we need new algorithms to address this challenge. Data mining techniques and algorithms to process huge amount of data in order to extract useful and interesting information have become popular in many different contexts. Algorithms are required to make sense of data automatically and in efficient ways. Nonetheless, even though sequential computer systems performance is improving, they are not suitable to keep up with the increase in the demand for data mining applications and the data size. Moreover, the main memory of sequential systems may not be enough to hold all the data related to current applications. This Special Issue takes into account the increasing interest in the design and implementation of parallel and distributed data mining algorithms. Parallel algorithms can easily address both the running time and memory requirement issues, by exploiting the vast aggregate main memory and processing power of processors and accelerators available on parallel computers. Anyway, parallelizing existing algorithms in order to achieve good performance and scalability with regard to massive datasets is not trivial. Indeed, it is of paramount importance a good data organization and decomposition strategy in order to balance the workload while minimizing data dependences. Another concern is related to minimizing synchronization and communication overhead. Finally, I/O costs should be minimized as well. Creating breakthrough parallel algorithms for high-performance data mining applications requires addressing several key computing problems which may lead to novel solutions and new insights in interdisciplinary applications. Moreover, increasingly the data is spread among different geographically distributed sites. Centralized processing of this data is very inefficient and expensive. In some cases, it may even be impractical and subject to security risks. Therefore, processing the data minimizing the amount of data being exchanged whilst guaranteeing at the same time correctness and efficiency is an extremely important challenge. Distributed data mining performs data analysis and mining in a fundamentally distributed manner paying careful attention to resource constraints, in particular bandwidth limitation, privacy concerns and computing power. The focus of this Special Issue is on all forms of advances in high-performance and distributed data mining algorithms and applications. The topics relevant to the Special Issue include (but are not limited to) the following. TOPICS OF INTEREST Scalable parallel data mining algorithms using message-passing, shared-memory or hybrid programming paradigms Exploiting modern parallel architectures including FPGA, GPU and many-core accelerators for parallel data mining applications Middleware for high-performance data mining on grid and cloud environments Benchmarking and performance studies of high-performance data mining applications Novel programming paradigms to support high-performance computing for data mining Performance models for high-performance data mining applications and middleware Programming models, tools, and environments for high-performance computing in data mining Map-reduce based parallel data mining algorithms Caching, streaming, pipelining, and other optimization techniques for data management in high-performance computing for data mining Novel distributed data mining algorithms SUBMISSION GUIDELINES All manuscripts and any supplementary material should be submitted electronically through Elsevier Editorial System (EES) at http://ees.elsevier.com/ins (http://ees.elsevier.com/ins). The authors must select as “SI:PDDM” when they reach the “Article Type” step in the submission process. A detailed submission guideline is available as “Guide to Authors” at: http://www.elsevier.com/journals/information-sciences/0020-0255/guide-for-a…. IMPORTANT DATES Submission deadline: December 1th, 2017 First round notification: March 1th, 2018 Revised version due: May 1st, 2018 Final notification: June 1st, 2018 Camera-ready due: July 1st, 2018 Publication tentative date: October 2018 Guest editors: Massimo Cafaro, Email: massimo.cafaro(a)unisalento.it University of Salento, Italy and Euro-Mediterranean Centre on Climate Change, Foundation Italo Epicoco, Email: italo.epicoco(a)unisalento.it University of Salento, Italy and Euro-Mediterranean Centre on Climate Change, Foundation Marco Pulimeno, Email: marco.pulimeno(a)unisalento.it University of Salento, Italy - ************************************************************************************ Massimo Cafaro, Ph.D. Associate Professor Dept. of Engineering for Innovation University of Salento, Lecce, Italy Via per Monteroni 73100 Lecce, Italy Voice/Fax +39 0832 297371 Web http://sara.unisalento.it/~cafaro E-mail massimo.cafaro(a)unisalento.it cafaro(a)ieee.org cafaro(a)acm.org CMCC Foundation Euro-Mediterranean Center on Climate Change Via Augusto Imperatore, 16 - 73100 Lecce massimo.cafaro(a)cmcc.it ************************************************************************************

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Special Issue on Parallel and Distributed Data Mining
by Massimo Cafaro 22 Sep '17

22 Sep '17

Special Issue on Parallel and Distributed Data Mining Information Sciences, Elsevier The sheer volume of new data, which is being generated at an increasingly fast pace, has already produced an anticipated data deluge that is difficult to challenge. We are in the presence of an overwhelming vast quantity of data, owing to how easy is to produce or derive digital data. Even the storage of this massive amount of data is becoming a highly demanding task, outpacing the current development of hardware and software infrastructure. Nonetheless, this effort must be undertaken now for the preservation, organization and long-term maintenance of these precious data. However, the collected data is useless without our ability fully understand and make use of it. Therefore, we need new algorithms to address this challenge. Data mining techniques and algorithms to process huge amount of data in order to extract useful and interesting information have become popular in many different contexts. Algorithms are required to make sense of data automatically and in efficient ways. Nonetheless, even though sequential computer systems performance is improving, they are not suitable to keep up with the increase in the demand for data mining applications and the data size. Moreover, the main memory of sequential systems may not be enough to hold all the data related to current applications. This Special Issue takes into account the increasing interest in the design and implementation of parallel and distributed data mining algorithms. Parallel algorithms can easily address both the running time and memory requirement issues, by exploiting the vast aggregate main memory and processing power of processors and accelerators available on parallel computers. Anyway, parallelizing existing algorithms in order to achieve good performance and scalability with regard to massive datasets is not trivial. Indeed, it is of paramount importance a good data organization and decomposition strategy in order to balance the workload while minimizing data dependences. Another concern is related to minimizing synchronization and communication overhead. Finally, I/O costs should be minimized as well. Creating breakthrough parallel algorithms for high-performance data mining applications requires addressing several key computing problems which may lead to novel solutions and new insights in interdisciplinary applications. Moreover, increasingly the data is spread among different geographically distributed sites. Centralized processing of this data is very inefficient and expensive. In some cases, it may even be impractical and subject to security risks. Therefore, processing the data minimizing the amount of data being exchanged whilst guaranteeing at the same time correctness and efficiency is an extremely important challenge. Distributed data mining performs data analysis and mining in a fundamentally distributed manner paying careful attention to resource constraints, in particular bandwidth limitation, privacy concerns and computing power. The focus of this Special Issue is on all forms of advances in high-performance and distributed data mining algorithms and applications. The topics relevant to the Special Issue include (but are not limited to) the following. TOPICS OF INTEREST Scalable parallel data mining algorithms using message-passing, shared-memory or hybrid programming paradigms Exploiting modern parallel architectures including FPGA, GPU and many-core accelerators for parallel data mining applications Middleware for high-performance data mining on grid and cloud environments Benchmarking and performance studies of high-performance data mining applications Novel programming paradigms to support high-performance computing for data mining Performance models for high-performance data mining applications and middleware Programming models, tools, and environments for high-performance computing in data mining Map-reduce based parallel data mining algorithms Caching, streaming, pipelining, and other optimization techniques for data management in high-performance computing for data mining Novel distributed data mining algorithms SUBMISSION GUIDELINES All manuscripts and any supplementary material should be submitted electronically through Elsevier Editorial System (EES) at http://ees.elsevier.com/ins (http://ees.elsevier.com/ins). The authors must select as “SI:PDDM” when they reach the “Article Type” step in the submission process. A detailed submission guideline is available as “Guide to Authors” at: http://www.elsevier.com/journals/information-sciences/0020-0255/guide-for-a…. IMPORTANT DATES Submission deadline: December 1th, 2017 First round notification: March 1th, 2018 Revised version due: May 1st, 2018 Final notification: June 1st, 2018 Camera-ready due: July 1st, 2018 Publication tentative date: October 2018 Guest editors: Massimo Cafaro, Email: massimo.cafaro(a)unisalento.it University of Salento, Italy and Euro-Mediterranean Centre on Climate Change, Foundation Italo Epicoco, Email: italo.epicoco(a)unisalento.it University of Salento, Italy and Euro-Mediterranean Centre on Climate Change, Foundation Marco Pulimeno, Email: marco.pulimeno(a)unisalento.it University of Salento, Italy - ************************************************************************************ Massimo Cafaro, Ph.D. Associate Professor Dept. of Engineering for Innovation University of Salento, Lecce, Italy Via per Monteroni 73100 Lecce, Italy Voice/Fax +39 0832 297371 Web http://sara.unisalento.it/~cafaro E-mail massimo.cafaro(a)unisalento.it cafaro(a)ieee.org cafaro(a)acm.org CMCC Foundation Euro-Mediterranean Center on Climate Change Via Augusto Imperatore, 16 - 73100 Lecce massimo.cafaro(a)cmcc.it ************************************************************************************

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CFP The Complexity journal special issue -- Social Big Data: Mining, Applications and Beyond
by Xiuzhen Jenny Zhang 21 Sep '17

21 Sep '17

============= Complexity (Impact Factor 4.621) Special Issue on Social Big Data: Mining, Applications and Beyond Submission deadline: Friday 29 December 2017 Publication date: May 2018 Online CFP: https://www.hindawi.com/journals/complexity/si/148573/cfp/ Journal URL: https://www.hindawi.com/journals/complexity/ ============ The social nature of Web 2.0 leads to the unprecedented growth of social media sites such as discussion forums, product review sites, microblogging, social networking and social curation. Existing research in social media data mining has focused on techniques for extracting information for specific applications from separate social media sources. The mobile network and the Internet of Things are transforming what is means to be social online. Humans, everyday objects and smart devices interact and form an intelligent social network that is a highly adaptive complex system. Assisted by personal devices, people can access real-time traffic, weather and news event information and exchange such information through social interaction and form communities dynamically. The rich user- and device-generated data and user interactions generate complex social big data that is different from classical structured attribute-value data. The data objects take various forms including unstructured text, geo-tagged data objects and data object streams. The social networks formed from interactions among data objects also carry rich information for analyzing user behavior. Such complex social big data calls for cross disciplinary research from data mining, machine learning, pervasive and ubiquitous computing, network science, and computational social science. We seek contributions to advance our knowledge in social big data mining and analytics and extend the knowledge to related disciplines. We especially welcome methodological papers that address the data complexity and application papers that promote wider and deeper applications of social media data. Potential topics include, but are not limited to: • Personal device and content integrated social data mining • Mining dynamic complex social networks of humans and devices • Mining heterogeneous streams of social media data objects from humans and devices • Spatiotemporal analysis of social data and social networks • Privacy preserving social data mining • Social influence and community discovery in dynamic social networks • Social data mining for community-based recommendation and other applications • Trust and information credibility analysis of social media data • Mining for user social influence and communities in complex social networks of humans and devices • Mining social data for smart cities and smart nations • Humans as sensors for event detection and disaster management • Sentiment analysis and opinion mining for social good • Detection of opinion spam, illicit behavior and anomalies in social media • Social media data mining for public health and healthcare Papers are published upon acceptance, regardless of the Special Issue publication date. SUBMISSION Authors must submit their papers online at https://mts.hindawi.com/submit/journals/complexity/sbdmab/ Authors are welcome to discuss their potential submissions with the editors by sending an email to Xiuzhen Zhang (xiuzhen.zhang(a)rmit.edu.au) regarding the fit of their paper for this special issue. GUEST EDITORS Xiuzhen Zhang, RMIT University, Melbourne, Australia; xiuzhen.zhang(a)rmit.edu.au Shuliang Wang, Beijing Institute of Technology, Beijing, China; slwang(a)bit.edu.cn Gao Cong, Nanyang Technological University, Singapore; gaocong(a)ntu.edu.sg

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[SIMPDA2017] Submission Deadline Extended: October 14, 2017
by Fulvio Frati 21 Sep '17

21 Sep '17

** Submission Deadline Extended: October 14, 2017 ** [Apologies if you receive multiple copies of this cfp] **************************************************************************** *** SIMPDA 2017 SEVENTH INTERNATIONAL SYMPOSIUM ON DATA-DRIVEN PROCESS DISCOVERY AND ANALYSIS 6-8 DECEMBER, 2017 - NEUCHATEL, SWITZERLAND http://simpda2017.di.unimi.it **************************************************************************** *** ## About SIMPDA With the increasing automation of business processes, growing amounts of process data become available. This opens new research opportunities for business process data analysis, mining and modeling. The aim of the IFIP 2.6 International Symposium on Data-Driven Process Discovery and Analysis is to offer a forum where researchers from different communities and the industry can share their insight in this hot new field. The Symposium will feature a number of keynotes illustrating advanced approaches, shorter presentations on recent research, a competitive PhD seminar and selected research and industrial demonstrations. This year the symposium will be held in Neuchatel. ###Call for Papers The IFIP International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA 2017) offers a unique opportunity to present new approaches and research results to researchers and practitioners working in business process data modelling, representation and privacy-aware analysis. The symposium will bring together leading researchers, engineers and scientists from around the world. Full papers must not exceed 15 pages. Short papers are limited to at most 4 pages. All papers must be original contributions, not previously published or under review for publication elsewhere. All contributions must be written in English and must follow the LNCS Springer Verlag format. Templates can be downloaded from: http://www.springer.de/comp/lncs/authors.html Accepted papers will be published in a pre-proceeding volume of CEUR workshop series. The authors of the accepted papers will be invited to submit extended articles to a post-symposium proceedings volume which will be published in the LNBIP series (Lecture Notes in Business Information Processing, http://www.springer.com/series/7911), scheduled for late 2018 (extended papers length will be between 7000 and 9000 words). Around 10-15 papers will be selected for publication after a second round of review. ### Topics Topics of interest for submission include, but are not limited to: - Business Process Modeling languages, notations and methods - Lightweight Process Model - Data-aware and data-centric approaches - Process Mining with Big Data - Variability and configuration of process models - Process simulation and static analyses - Process data query languages - Process data mining - Privacy-aware process data mining - Process metadata and semantic reasoning - Process patterns and standards - Foundations of business process models - Resource management in business process execution - Process tracing and monitoring - Process change management and evolution - Business process lifecycle - Case studies and experience reports - Social process discovery - Crowdsourced process definition and discovery ### Workshop Format: In accordance to our historical tradition of proposing SIMPDA as a symposium, we propose an innovative format for this workshop: The number of sessions depend on the number of submissions but, considering the previous editions, we envisage to have four sessions, with 4-5 related papers assigned to each session. A special session (with a specific review process) will be dedicated to discuss research plan from PhD students. Papers are pre-circulated to the authors that will be expected to read all papers in advance but to avoid exceptional overhead, two are assigned to be prepared with particular care, making ready comments and suggestions. The bulk of the time during each session will be dedicated to open conversations about all of the papers in a given session, along with any linkages to the papers and discussions within an earlier session. The closing session (30 minutes), will include a panel about open challenges during which every participant will be asked to assemble their thoughts/project ideas/goals/etc that they got out of the workshop. ### Call for PhD Research Plans The SIMPDA PhD Seminar is a workshop for Ph.D. students from all over the world. The goal of the Seminar is to help students with their thesis and research plans by providing feedback and general advice on how to use their research results. Students interested in participating in the Seminar should submit an extended abstract describing their research. Submissions can relate to any aspect of Process Data: technical advances, usage and impact studies, policy analyses, social and institutional implications, theoretical contributions, interaction and design advances, innovative applications, and social implications. Research plans should be at most of 5 page long and should be organised following the following structure: - Abstract: summarises, in 5 line, the research aims and significance. - Research Question: defines what will be accomplished by eliciting the relevant the research questions. - Background: defines the background knowledge providing the 5 most relevant references (papers or books). - Significance: explains the relevance of the general topic and of the specific contribution. - Research design and methods: describes and motivates the method adopted focusing on: assumptions, solutions, data sources, validation of results, limitations of the approach. - Research stage: describes what the student has done so far. ### SIMPDA PhD award A doctoral award will be given by the SIMPDA PhD Jury to the best research plan submitted. Student Scholarships An application for a limited number of scholarships aimed at students coming from emerging countries has been submitted to IFIP. In order to apply, please contact paolo.ceravolo(a)unimi.it ### CALL for Demonstrations and Posters Demonstrations showcase innovative technology and applications, allowing for sharing research work directly with colleagues in a high-visibility setting. Demonstration proposals should consist of a title, an extended abstract, and contact information for the authors, and should not exceed 10 pages. Posters allow the presentation of late-breaking results in an informal, interactive manner. Poster proposals should consist of a title, an extended abstract, contact information for the authors, and should not exceed 2 pages. Accepted demonstrations and posters will be presented at the symposium. Abstracts will appear in the proceedings. ### Important Dates - Paper Submission: 14 October 2017 - Submission of PhD Presentations: 14 October 2017 - Notification of Acceptance: 19 November 2017 - Submission of Camera Ready Papers: 28 November 2017 - Second International Symposium on Process Data: 6-8 December 2017 - Post-proceeding submissions: 30 March 2018 ## Keynote Speakers * Enabling largely automated social media analytics * Karl Aberer Distributed Information Systems Laboratory (LSIR), EPFL In this talk we will report on our recent advances in automating the analysis of social media data. We first will review our recent work on a platform for analysing social media data in terms of topics discussed, communities and their influencers. This platform has been successfully used in a number of practical use case. When using the platform we identified the creation of domain-specific taxonomies as the main bottleneck in the analysis process. To tackle this issue we developed a novel method for taxonomy induction from domain-specific document corpora. In the second part of the talk we will discuss this method and some of the novel ideas that enabled us to produce high quality domain-specific taxonomies on the fly. ## Organizers ### CHAIRS - Paolo Ceravolo, Università degli Studi di Milano, Italy - Maurice van Keulen, University of Twente, The Netherlands - Kilan Stoffel, University of Neuchatel, Switzerland ### ADVISORY BOARD - Ernesto Damiani, Università degli Studi di Milano, Italy - Erich Neuhold, University of Vienna, Austria - Philippe Cudré-Mauroux , University of Fribourg, Switzerland - Robert Meersman, Graz University of Technology, Austria - Wilfried Grossmann, University of Vienna, Austria ### Program Committee - Akhil Kumar, Penn State University, USA - Benoit Depaire, University of Hasselt, Belgium - Chintan Mrit, University of Twente, The Netherlands - Christophe Debruyne, Trinity College Dublin, Ireland - Ebrahim Bagheri, Ryerson University, Canada - Edgar Weippl, TU Vienna, Austria - Fabrizio Maria Maggi, University of Tartu, Estonia - George Spanoudakis, City University London, UK - Haris Mouratidis, University of Brighton, UK - Isabella Seeber, University of Innsbruck, Austria - Jan Mendling, Vienna University of Economics and Business, Austria - Josep Carmona, UPC - Barcelona, Spain - Kristof Boehmer, University of Vienna, Austria - Manfred Reichert, Ulm University, Germany - Marcello Leida, TAIGER, Spain - Mark Strembeck, WU Vienna, Austria - Massimiliano De Leoni, Eindhoven TU, Netherlands - Matthias Weidlich, Imperial College, UK - Mazak Alexandra, University of Vienna, Austria - Mohamed Mosbah, University of Bordeaux - Mustafa Jarrar, Birzeit University, Palestine - Robert Singer, FH Joanneum, Austria - Roland Rieke, Fraunhofer SIT, Germany - Schahram Dustdar, Vienna University of Technology, Austria - Thomas Vogelgesang, University of Oldenburg, Germany - Valentina Emilia Balas, University of Arad, Romania - Wil Van der Aalst, Technische Universiteit Eindhoven, The Netherlands

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[Final Extension] [CFP] The 8th DataCloud 2017 Workshop @SC17
by Li, Tonglin 20 Sep '17

20 Sep '17

We apologize if you receive multiple copies of this CFP. This is the final extension to the submission deadline. DataCloud 2017: The Eighth International Workshop on Data-Intensive Computing in the Clouds Denver, CO, USA, November 12, 2017 Conference website https://sites.google.com/view/2017datacloud/home Submission link https://easychair.org/conferences/?conf=datacloud2017 Submission deadline (final extension) October 1, 2017 Applications and experiments in all areas of science are becoming increasingly complex and more demanding in terms of their computational and data requirements. Some applications generate data volumes reaching hundreds of terabytes and even petabytes. As scientific applications become more data intensive, the management of data resources and data flow between the storage and compute resources is becoming the main bottleneck. Analyzing, visualizing, and disseminating these large data sets has become a major challenge and data intensive computing is now considered as the “fourth paradigm” in scientific discovery after theoretical, experimental, and computational science. The eighth international workshop on Data-intensive Computing in the Clouds (DataCloud 2017) will provide the scientific community a dedicated forum for discussing new research, development, and deployment efforts in running data-intensive computing workloads on Cloud Computing infrastructures. The DataCloud 2017 workshop will focus on the use of cloud-based technologies to meet the new data intensive scientific challenges that are not well served by the current supercomputers, grids or compute-intensive clouds. We believe the workshop will be an excellent place to help the community define the current state, determine future goals, and present architectures and services for future clouds supporting data intensive computing. Submission Guidelines Authors are invited to submit papers with unpublished, original work of not more than 8 pages of double column text using single spaced 10 point size on 8.5 x 11 inch pages, as per ACM 8.5 x 11 manuscript guidelines; document templates can be found at http://www.acm.org/sigs/publications/proceedings-templates. The final papers in PDF format must be submitted online at https://easychair.org/conferences/?conf=datacloud2017. Papers will be peer-reviewed, and accepted papers will be published in the workshop proceedings as part of the ACM digital library (in cooperation with SIGHPC). Submission implies the willingness of at least one of the authors to register and present the paper. List of Topics * Data-intensive cloud computing infrastructure, applications, characteristics and challenges * Case studies of data intensive computing in the clouds * Performance evaluation of data clouds, data grids, and data centers * Energy-efficient data cloud design and management * Data placement, scheduling, and interoperability in the clouds * Accountability, QoS, and SLAs * Data privacy and protection in a public cloud environment * Distributed file systems for clouds * Data streaming and parallelization * New programming models for data-intensive cloud computing * Scalability issues in clouds * Social computing and massively social gaming * 3D Internet and implications * Future research challenges in data-intensive cloud computing Committees Program Chairs * Tonglin Li, Oak Ridge National Laboratory * Boyu Zhang, Microsoft Inc. * Xuan Guo, Oak Ridge National Laboratory Steering committee * Wei Tang, Google Inc. * Roger Barga, Microsoft Research * Ian Foster, University of Chicago & ANL * Geoffrey Fox, Indiana University Program committee (to be confirmed) * David Abramson, Monash University, Australia * John Bent, Los Alamos National Laboratory * Umit Catalyurek, Ohio State University * Linhai Qiu, Google Inc. * Abhishek Chandra, University of Minnesota * Rong N. Chang, IBM Research * Yong Chen, Texas Tech University * Alok Choudhary, Northwestern University * Jialin Liu, Lawrence Berkeley National Laboratory * Brian Cooper, Google Inc. * Ewa Deelman, University of Southern California * Murat Demirbas, University at Buffalo * Xu Yang, Amazon Inc. * Zhou Zhou, Salesforce Inc. * Kun Feng, Illinois Institute of Technology * Anthony Kougkas, Illinois Institute of Technology Contact All questions about submissions should be emailed to lit1(a)ornl.gov, zhang.boyu84(a)gmail.com or guox(a)ornl.gov.

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PDP2018 - Second call for Papers - Deadline extended
by Ivan Merelli 19 Sep '17

19 Sep '17

***************************************************************************************** PDP 2018 - Second Call for Papers - Deadline Postponed - http://www.pdp2018.org ***************************************************************************************** Parallel, Distributed, and Network-Based Processing has undergone impressive changes over recent years. New architectures, advanced programming models, improved efficiency and novel application domains have rapidly become the central focus of this discipline. These changes are often a result of cross-fertilisation of parallel and distributed computational paradigms with other rapidly evolving technologies in different disciplines. It is of paramount importance to review and assess these new developments in relation with the recent research achievements in the different areas of parallel and distributed computing, considering both the industrial and scientific point of view. PDP 2018 will provide a forum for the discusssion of these and other issues through original research presentations and will facilitate the exchange of knowledge and new ideas at the highest technical and applicative level. PDP 2018 will be held in Cambridge, UK, March 21-23, 2018. Conference web site http://www.pdp2018.org ***************************************************************************************** * Topics of interest include, but are not restricted to: - Parallel Computing: massively parallel machines; embedded parallel and distributed systems; multi- and many-core systems; GPU and FPGA based parallel systems; parallel I/O; memory organisation. - Distributed and Network-based Computing: Cluster, Grid, Web and Cloud computing; mobile computing; interconnection networks. - Big Data: large scale data processing; distributed databases and archives; large scale data management; metadata; data intensive applications. - Models and Tools: programming languages and environments; runtime support systems; performance prediction and analysis; simulation of parallel and distributed systems. - Systems and Architectures: novel system architectures; high data throughput architectures; service-oriented architectures; heterogeneous systems; shared-memory and message-passing systems; - Middlewares and File systems : distributed operating systems; dependability and survivability; resource management; parallel and distributed file systems; - Advanced Algorithms and Applications: distributed algorithms; multi-disciplinary applications; computations over irregular domains; numerical applications with multi-level parallelism; real-time distributed applications. ***************************************************************************************** * In addition, special sessions will address upcoming novel topics: - GPU computing and Many Integrated Core Computing http://www.pdp2018.org/specialsessions/gpu.html - Advances in High-Performance Bioinformatics and Biomedicine http://www.pdp2018.org/specialsessions/ahpbb.html - Security in Parallel, Distributed and Network-Based Computing http://www.pdp2018.org/specialsessions/snds.html - Energy Efficient Management of Parallel Systems, Platforms, and Computations http://www.pdp2018.org/specialsessions/energy.html - Cloud Computing on Infrastructure as a Service and its Applications http://www.pdp2018.org/specialsessions/ccisa.html - High Performance Computing in Modeling and Simulation http://www.pdp2018.org/specialsessions/hpcms.html - On-chip parallel and network-based systems http://www.pdp2018.org/specialsessions/ocpnbs.html - Storage architectures and Data Transfer systems for BigData and Exascale Computing http://www.pdp2018.org/specialsessions/sdt.html - High Performance Computing for Neuroscience http://www.pdp2018.org/specialsessions/neuro.html - High Performance Computing in Astronomy and Astrophysics http://www.pdp2018.org/specialsessions/astro.html - Parallel and distributed high-performance computing solutions in Systems Biology http://www.pdp2018.org/specialsessions/sysbio.html - Parallel Numerical Methods and Libraries for Heterogeneous Multi/Manycores http://www.pdp2018.org/specialsessions/numerical.html ***************************************************************************************** SPECIAL SESSIONS MAY HAVE DIFFERENT DEADLINES FROM THE PDP2018 MAIN TRACK PLEASE TAKE A LOOK TO THE WEB PAGE OF EACH SPECIAL SESSSION FOR MORE DETAILS ***************************************************************************************** * Important dates: - Paper submission: 3 Nov, 2017 - Acceptance notification: 1 Dic, 2017 - Camera ready due: 22 Dic, 2017 - Conference: 21 - 23 Mar, 2018 ***************************************************************************************** * Submission of papers Prospective authors should submit a full paper not exceeding 8 pages in the Conference proceedings format ( double-column, 10pt) to the conference main track or to a special session track through the EasyChair conference submission system (http://www.easychair.org/conferences/?confpdp2018). Double-blind review: the paper should not contain authors names and affiliations; in the reference list, references to the authors' own work entries should be substituted with the string "omitted for blind review". Publication: all accepted papers will be included in the same volume, published by the Conference Publishing Services (CPS). The Final Paper Preparation and Submission Instructions will be published after the notification of acceptance. Proceedings: authors of accepted papers are expected to register and present their papers at the Conference. Conference proceedings will be submitted to IEEE explore, CDSL, and for indexing among others, to DBLP, Scopus ScienceDirect, and ISI Web of Knowledge. Special Issues: selected papers will be considered for a publication in a special issue of the journal "Concurrency and Computation: Practice and Experience", edited by Wiley. Further contacts with editors of other international journal are on-going to have more special issues for papers from the special sessions. ***************************************************************************************** Ivan Merelli Istituto di Tecnologie Biomediche, Consiglio Nazionale delle Ricerche 93, via F.lli Cervi, 20090 Segrate (Mi), Italy Phone: +39 02 2642-2606 E-Mail: ivan.merelli(a)itb.cnr.it Pietro Liò Computer Laboratory, University of Cambridge 15, JJ Thomson Avenue, Cambridge CB3 0FD, UK Phone: +44 (0)1223-763604 E-Mail: pl219(a)cam.ac.uk Igor Kotenko Laboratory of Computer Security Problems, SPIIRAS 39, 14th. Liniya, St. Petersburg, 199178, Russia Phone: +7 (812) 328-71-81 E-Mail: ivkote(a)comsec.spb.ru ******************************************************************************************** Euromicro is an international scientific organization advancing sciences and applications of Information Technology and Microelectronics. A major focus is on organizing conferences and workshops in Computer Science and Computer Engineering. Euromicro is a non-profit association founded in 1974 and annual conferences have taken place in more than 20 countries all over Europe. Find out more at http://www.euromicro.org.

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Special Issue on Optimisation Solutions in Systems: Deadline extended
by FERNANDO RUBIO DIEZ 19 Sep '17

19 Sep '17

**** The deadline has been extended to October 9th **** *CALL FOR PAPERS* *http://antares.sip.ucm.es/~fernando/jsit/cfp.htm <http://antares.sip.ucm.es/~fernando/jsit/cfp.htm>* *A Special Issue of the Journal of Systems and Information Technology on Optimisation Solutions in Systems* *Aims and Scope* Optimisation is a major necessity in Science and Engineering. No matter if we want to reduce the amount of needed resources to perform a task or maximize the output of some process, so often the difficulty of making the right decisions can be rephrased as some kind of optimisation problems. Unfortunately, for many optimisation problems finding the optimal solution is not feasible in general due to the hardness of the problem —moreover, for some of them we cannot even guarantee any constant ratio between the quality of the optimal solution and the quality of any solution found in reasonable time. Despite these disheartening theoretical limits, optimisation problems appear whenever there is a sophisticated system, so we do have to face them by some means —necessarily non-exhaustive methods. Some of these methods are specific to the problem under consideration, whereas others are adaptations of general optimization heuristics (metaheuristics) to the studied problem. Typically, the latter search for solutions similar to the most promising observed ones, or their combinations, for example by making some simple entities interact with each other according to simple rules and collaboratively construct new solutions. Within this category we can find evolutionary computation methods and swarm optimization methods, which are sometimes inspired by some natural process. Regardless of the method selected to tackle a hard optimization problem, the difficulty of the problem and the performance of the best known heuristics for the problem may have a high impact on the application field the problem belongs to, since the difficulty of a scientific or engineering process can be, to some extent, due to the computational difficulty of the underlying optimization problem it implicitly poses. The goal of this special issue is to introduce new research, or comprehensive compilations of existing ones, on optimisation techniques for engineering systems, and their applications. *We solicit contributions related, but not limited to the following topics:* · New optimisation algorithms and metaheuristics, enhancement of existing ones · Problem-specific and generic optimisation methods · Comparison of optimisation algorithms and metaheuristics · Nature inspired metaheuristics, evolutionary computation, swarm intelligence · Classification and generalization of metaheuristics, hybridisation of methods · Optimisation problems on real data, case studies · Benchmark usage and generation · Optimisation hardness, complexity of problems and optimisation algorithms · Impact of the optimisation difficulty on Social Sciences, Natural Sciences and Engineering · Comprehensive compilations of the state of art on any aspect of optimisation We encourage submissions from both academics and practitioners. *Submission Procedure* Full papers should be submitted to: *http://mc.manuscriptcentral.com/jsit* <http://mc.manuscriptcentral.com/jsit> (all manuscripts should follow the submission guidelines available at http://emeraldgrouppublishing.com/ products/journals/author_guidelines.htm?id=jsit You must first create an author account in the system if you do not have one. Once registered, you will see the Author Centre button when you sign in to your account. Click on the ‘click here to submit a new manuscript’ link, which will take you through to the Manuscript Submission page. Follow the instructions to complete all fields and browse to upload your manuscript. At the ‘please select the issue you are submitting to’ dropdown list (under Details & Comments) please choose *“Special Issue on Optimisation Solutions in Systems”*. *Important dates:* · Please submit papers on or before October 9th 2017. All submissions will be peer-reviewed following the review process of the Journal of Systems and Information Technology. (Prospective authors are encouraged to indicate their interests any time before the submission deadline. Please, contact fernando(a)sip.ucm.es) · Notification of results: December 15th 2017. · Final submission: January 31st 2018. · The special issue will be published in June 2018 Special Issue Guest Editors: Dr. Pablo Rabanal, Facultad de Informática, Universidad Complutense de Madrid, Spain Dr. Ismael Rodríguez, Facultad de Informática, Universidad Complutense de Madrid, Spain Dr. Fernando Rubio, Facultad de Informática, Universidad Complutense de Madrid, Spain

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Special Issue on Parallel and Distributed Data Mining
by Massimo Cafaro 19 Sep '17

19 Sep '17

Special Issue on Parallel and Distributed Data Mining Information Sciences, Elsevier The sheer volume of new data, which is being generated at an increasingly fast pace, has already produced an anticipated data deluge that is difficult to challenge. We are in the presence of an overwhelming vast quantity of data, owing to how easy is to produce or derive digital data. Even the storage of this massive amount of data is becoming a highly demanding task, outpacing the current development of hardware and software infrastructure. Nonetheless, this effort must be undertaken now for the preservation, organization and long-term maintenance of these precious data. However, the collected data is useless without our ability fully understand and make use of it. Therefore, we need new algorithms to address this challenge. Data mining techniques and algorithms to process huge amount of data in order to extract useful and interesting information have become popular in many different contexts. Algorithms are required to make sense of data automatically and in efficient ways. Nonetheless, even though sequential computer systems performance is improving, they are not suitable to keep up with the increase in the demand for data mining applications and the data size. Moreover, the main memory of sequential systems may not be enough to hold all the data related to current applications. This Special Issue takes into account the increasing interest in the design and implementation of parallel and distributed data mining algorithms. Parallel algorithms can easily address both the running time and memory requirement issues, by exploiting the vast aggregate main memory and processing power of processors and accelerators available on parallel computers. Anyway, parallelizing existing algorithms in order to achieve good performance and scalability with regard to massive datasets is not trivial. Indeed, it is of paramount importance a good data organization and decomposition strategy in order to balance the workload while minimizing data dependences. Another concern is related to minimizing synchronization and communication overhead. Finally, I/O costs should be minimized as well. Creating breakthrough parallel algorithms for high-performance data mining applications requires addressing several key computing problems which may lead to novel solutions and new insights in interdisciplinary applications. Moreover, increasingly the data is spread among different geographically distributed sites. Centralized processing of this data is very inefficient and expensive. In some cases, it may even be impractical and subject to security risks. Therefore, processing the data minimizing the amount of data being exchanged whilst guaranteeing at the same time correctness and efficiency is an extremely important challenge. Distributed data mining performs data analysis and mining in a fundamentally distributed manner paying careful attention to resource constraints, in particular bandwidth limitation, privacy concerns and computing power. The focus of this Special Issue is on all forms of advances in high-performance and distributed data mining algorithms and applications. The topics relevant to the Special Issue include (but are not limited to) the following. TOPICS OF INTEREST Scalable parallel data mining algorithms using message-passing, shared-memory or hybrid programming paradigms Exploiting modern parallel architectures including FPGA, GPU and many-core accelerators for parallel data mining applications Middleware for high-performance data mining on grid and cloud environments Benchmarking and performance studies of high-performance data mining applications Novel programming paradigms to support high-performance computing for data mining Performance models for high-performance data mining applications and middleware Programming models, tools, and environments for high-performance computing in data mining Map-reduce based parallel data mining algorithms Caching, streaming, pipelining, and other optimization techniques for data management in high-performance computing for data mining Novel distributed data mining algorithms SUBMISSION GUIDELINES All manuscripts and any supplementary material should be submitted electronically through Elsevier Editorial System (EES) at http://ees.elsevier.com/ins (http://ees.elsevier.com/ins). The authors must select as “SI:PDDM” when they reach the “Article Type” step in the submission process. A detailed submission guideline is available as “Guide to Authors” at: http://www.elsevier.com/journals/information-sciences/0020-0255/guide-for-a…. IMPORTANT DATES Submission deadline: December 1th, 2017 First round notification: March 1th, 2018 Revised version due: May 1st, 2018 Final notification: June 1st, 2018 Camera-ready due: July 1st, 2018 Publication tentative date: October 2018 Guest editors: Massimo Cafaro, Email: massimo.cafaro(a)unisalento.it University of Salento, Italy and Euro-Mediterranean Centre on Climate Change, Foundation Italo Epicoco, Email: italo.epicoco(a)unisalento.it University of Salento, Italy and Euro-Mediterranean Centre on Climate Change, Foundation Marco Pulimeno, Email: marco.pulimeno(a)unisalento.it University of Salento, Italy - ************************************************************************************ Massimo Cafaro, Ph.D. Associate Professor Dept. of Engineering for Innovation University of Salento, Lecce, Italy Via per Monteroni 73100 Lecce, Italy Voice/Fax +39 0832 297371 Web http://sara.unisalento.it/~cafaro E-mail massimo.cafaro(a)unisalento.it cafaro(a)ieee.org cafaro(a)acm.org CMCC Foundation Euro-Mediterranean Center on Climate Change Via Augusto Imperatore, 16 - 73100 Lecce massimo.cafaro(a)cmcc.it ************************************************************************************

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CFP2: 4th Conference on Optimization Methods and Software (Cuba, 2017)
by Oleg Burdakov 19 Sep '17

19 Sep '17

*Apologies for cross posting. Please forward to interested people* The 4th Conference on Optimization Methods and Software December 16-20, 2017, Havana, Cuba http://wias-berlin.de/workshops/oms2017/index.html It is organized in relation to the 25th anniversary of the journal Optimization Methods and Software (OMS) http://www.tandfonline.com/goms The conference aims to review and discuss recent advances and promising research trends in optimization theory, methods, applications and software development. *TOPICS* include, but are certainly not limited to the following subjects: Linear and Nonlinear Optimization; Integer and Combinatorial Optimization; Convex and Nonsmooth Optimization; Global Optimization; Semi-definite Optimization; Semi-infinite Optimization; Multi-objective Optimization; Stochastic Optimization; Complementarity and Variational Inequality Problems; Derivative-free Optimization; Network Optimization; Scheduling Problems; Optimal Control; Inverse Problems; Automatic Differentiation; Optimization Software. *PLENARY SPEAKERS* the list is composed of OMS board members http://wias-berlin.de/workshops/oms2017/Speaker.html Andrew R. Conn (USA) Claudia D'Ambrosio (France) Jonathan Eckstein (USA) Serge Gratton (France) Andreas Griewank (Ecuador) Francesca Guerriero (Italy) Roland Herzog (Germany) Michael Hintermüller (Germany) Thorsten Koch (Germany) José Mário Martinez (Brazil) Athanasios Migdalas (Sweden) Yurii E. Nesterov (Belgium) Dominique Orban (Canada) Panos M. Pardalos (USA) Florian A. Potra (USA) Fabio Schoen (Italy) Anthony Man-Cho So (Hong Kong) Tamas Terlaky (USA) Philippe Toint (Belgium) Stefan Ulbrich (Germany) Robert Vanderbei (USA) E. Alper Yildirim (Turkey) Ya-xiang Yuan (China) *ABSTRACT SUBMISSION AND CONFERENCE PUBLICATIONS* Abstracts should not exceed 400 words. Details of the submission are available on the conference web site. http://wias-berlin.de/workshops/oms2017/reg.html Papers presented at the conference will be considered for peerreviewed publication in a special issue of the journal Optimization Methods and Software. *SESSION ORGANIZATION* Proposals of organizing sessions are welcome and can be sent to Tamás Terlaky by email terlaky[at] lehigh.edu *DATES AND DEADLINES* Abstract submissions: October 15, 2017 Notification of acceptance: October 31, 2017 Early registration: November 15, 2017 *REGISTRATION FEE* (early/late) in the Cuban Convertible Peso (CUC) Regular participant: 350/400 CUC Student: 150/175 CUC Accompanying person: 100/120 CUC *REGISTER AT* http://wias-berlin.de/workshops/oms2017/reg.html *CONFERENCE ORGANIZERS* Oleg Burdakov (Sweden), Conference Chair Tamás Terlaky (USA), Program Committee Chair José Mário Martinez (Brazil), Organizing Committee Chair Michael Hintermüller (Germany), Organizing Committee co-Chair Emre Alper Yildirim (Turkey), Organizing Committee co-Chair Sira M. Allende (Cuba), Local Organizing Committee Chair -- .................................................................... Oleg Burdakov, Editor-in-Chief of the journal Optimization Methods & Software (OMS) http://www.tandfonline.com/goms Division of Optimization, | Phone: +46 13 281473 Department of Mathematics, | Mobile: +46 (0)70 0895219 Linkoping University, | E-mail: Oleg.Burdakov(a)liu.se SE - 58183 Linkoping, Sweden | http://users.mai.liu.se/olebu87/ ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::

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*** Extended Deadline *** 5th Special Session on HPC in Modelling and Simulation - PDP 2018 - Cambridge, UK
by William Spataro 17 Sep '17

17 Sep '17

(sorry for cross postings) ************************************************************************** CALL FOR PAPERS: Fifth Special Session on High Performance Computing in Modelling and Simulation (HPCMS) Within PDP 2018 The 26th Euromicro International Conference on Parallel, and Network-Based Computing Cambridge, UK 21-23 March 2018 http://www.pdp2018.org/specialsessions/hpcms.html EXTENDED Deadline: November 3rd, 2017 Contact: William Spataro - spataro(a)unical.it ************************************************************************* AIMS AND SCOPE The development of models through which computers can simulate the evolution of artificial and natural systems is fundamental for the advancement of Science. In the last decades, the increasing power of computers has allowed to considerably extend the application of computing methodologies in research and industry, but also to the quantitative study of complex phenomena. This has permitted a broad application of numerical methods for differential equation systems (e.g., FEM, FDM, etc.) on one hand, and the application of alternative computational paradigms, such as Cellular Automata, Genetic Algorithms, Neural networks, Swarm Intelligence, etc., on the other. These latter have demonstrated their effectiveness for modelling purposes when traditional simulation methodologies have proven to be impracticable. Following the success of our past HPCMS workshops which were held in Turin, Turku and Crete, we are glad to invite you to our fourth edition which will take place in St. Petersburg (Russia). An important mission of the HPCMS Workshop is to provide a platform for a multidisciplinary community composed of scholars, researchers, developers, educators, practitioners and experts from world leading Universities, Institutions, Agencies and Companies in Computational Science, and thus in the High Performance Computing for Modelling and Simulation field. HPCMS intent is to offer an opportunity to express and confront views on trends, challenges, and state-of-the art in diverse application fields, such as engineering, physics, chemistry, biology, geology, medicine, ecology, sociology, traffic control, economy, etc. Topics of interest include, but are not limited to, the following: - High-performance computing in computational science: intra-disciplinary and multi-disciplinary research applications - Complex systems modelling and simulation - Cellular Automata, Genetic Algorithms, Neural networks, Swarm Intelligence implementations - Integrated approach to optimization and simulation - MPI, OpenMP, GPGPU applications in Computational Science - Optimization algorithms, modelling techniques related to optimization in Computational Science - High-performance Software developed to solve science (e.g., biological, physical, and social), engineering, medicine, and humanities problems - Hardware approaches of high performance computing in modeling and simulation IMPORTANT DATES Paper submission: 3rd Nov 2017 Acceptance notification: 1st Dec 2017 Camera ready due: 22nd Dec 2017 Conference: 21th - 23th Mar 2018 Submission guidelines Prospective authors should submit a full paper not exceeding 8 pages in the IEEE Conference proceedings format (IEEEtran, double-column, 10pt). Double-bind review: the first page of the paper should contain only the title and abstract; in the reference list, references to the authors’ own work should appear as "omitted for blind review" entries. For submission, please use the following link: http://www.easychair.org/conferences/?conf=pdp2018 Manuscript submission Publication All accepted papers will be included in the same volume, published by the Conference Publishing Services (CPS). The Final Paper Preparation and Submission Instructions will be published after the notification of acceptance. Authors of accepted papers are expected to register and present their papers at the Conference. Conference proceedings will be submitted for inclusion in Xplore and the CSDL, and for indexing, among others, to DBLP, Scopus ScienceDirect, and ISI Web of Knowledge. Special Issue As for previous editions, organizers of the HPCMS session are planning a Special Issue of an important international ISI Journal, based on distinguished papers that will be accepted for the session. For instance, a selected number of papers of the past workshop editions have been published on the ISI Journal “International Journal of High Performance Computing Applications” and “Concurrency and Computation: Practice and Experience”. Organizers William Spataro – University of Calabria, Italy Georgios Sirakoulis - Democritus University of Thrace, Greece Giuseppe A. Trunfio – University of Sassari, Italy Program Committee Gihan R. Mudalige, University of Warwick, UK Angelos Amanatiadis, Democritus University of Thrace, Greece Donato D’Ambrosio, University of Calabria, Italy Pawel Topa, AGH University of Science and Technology, Poland Gianluigi Folino, ICAR-CNR, Italy Lou D’Alotto, York College/CUNY, New York, USA Antonios Gasteratos, Democritus University of Thrace, Greece Ioakeim Georgoudas, Democritus University of Thrace, Greece Marco Beccutti, University of Torino, Italy Rolf Hoffmann, Darmstadt University, Germany Ioannis Karafyllidis, Democritus University of Thrace, Greece Yaroslav Sergeyev, University of Calabria, Italy Antisthenis Tsompanas, University of the West of England, UK Rocco Rongo, University of Calabria, Italy Georgios Sirakoulis, Democritus University of Thrace, Greece William Spataro, University of Calabria, Italy Giuseppe A. Trunfio, University of Sassari, Italy Marco Villani, University of Modena and Reggio Emilia, Italy Jaroslaw Was, AGH University of Science and Technology, Poland Davide Spataro, University of Calabria, Italy Massimo Cafaro, University of Salento, Italy Mario Cannataro, University Magna Graecia of Catanzaro, Italy -- °-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-° William Spataro Department of Mathematics & Computer Science High Performance Computing Center University of Calabria I-87036 Arcavacata di Rende (CS) Italy Phone(s) : +39.0984.49.3691 / 4875 / 6464 Fax : +39.0984.493570 Member of the OpenCAL Team (https://github.com/OpenCALTeam) Web: www.mat.unical.it/spataro Email: spataro(a)unical.it -°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-° -- ------------------------------------------------------------------------------- Il banner è generato automaticamente dal servizio di posta elettronica dell'Università della Calabria <http://www.unical.it>

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Call For Papers: The 1st International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention
by Andrii Shalaginov 17 Sep '17

17 Sep '17

Dear Colleague, (Apologies for multiple postings) We would like to invite you to submit your contributions to the 1st International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention. It is co-located with IEEE International Conference on Big Data 2017 that will take place in Boston, USA, December 11-14, 2017. Workshop webpage: https://www.ntnu.edu/iik/digital_forensics/ieeebigdata2017 *** IMPORTANT DATES *** Oct 10, 2017 (Extended): Due date for full workshop papers submission Nov 1, 2017 (Extended): Notification of paper acceptance to authors Nov 15, 2017: Camera-ready for accepted papers Dec 11-14, 2017: Workshops *** INTRODUCTION *** The big data paradigm has become inevitable in every aspect of the digital forensics process. Increase in personal devices (such as computers, smart phones, tablets, sensors and storage mediums) results in an expanding volume of potential evidence found in them. The increase in data is one of the largest challenges facing law enforcements’ timely prosecutions; with the effect, that human analysts can no longer be the lone actor in the loop. There is a need to create innovative and advanced models and analysis methods to help human analysts within law enforcements in order to automatically aid with the discovery, correlation, examination, analysis and understanding of evidence in criminal cases. Advanced big data analytics are important for cybercrime investigation and require novel approaches for automation. *** PROPOSED TOPICS *** Note that the topics are not limited to this proposed list. 1. Algorithms - Machine learning-aided analysis - Graph-based detection - Topic modeling - Secure platforms - Distributed storage and processing - Secure collaborative platforms 2. Applications - Network forensics readiness - Cyber threats intelligence - Malware analysis and detection - Emails mining - Events correlations - Access logs analysis - Mobile and Internet of Things forensics - Fraud detection - Database forensics 3. Data - Novel datasets - Digital forensics data simulation - Anonymised case data - Data storage standards - New formats and taxonomies *** PROGRAM CO-CHAIRS *** Andrii Shalaginov, Norwegian University of Science and Technology Katrin Franke, Norwegian University of Science and Technology Jan William Johnsen, Norwegian University of Science and Technology *** PROGRAM COMMITTEE *** Asif Iqbal (KTH Royal Institute of Technology) Bojan Kolosnjaji (Technical University of Munich) Carl Leichter (Norwegian University of Science and Technology) Dmitry Kangin (University of Exeter) Emiliano Casalicchio (Blekinge Institute of Technology) Ethan Rudd (University of Colorado Colorado Springs) Hamid Ebadi (Chalmers University of Technology) Hanno Langweg (Konstanz University of Applied Sciences) Heri Ramampiaro (Norwegian University of Science and Technology) Martin Boldt (Blekinge Institute of Technology) Michael McGuire (Towson University) Olaf M. Maennel (Tallinn University of Technology) Pavel Gladyshev (Dublin School of Computer Science) Pierre Lison (Norwegian Computing Centre) *** PAPER SUBMISSION *** Our workshop invites authors to submit: full-length papers (up to ten pages), short papers (up to six pages) or abstract papers (up to three pages) through the online submission system: https://wi-lab.com/cyberchair/2017/bigdata17/scripts/submitform.php?subarea… Papers have to follow the IEEE 2-column format and the Computer Society Proceedings Manuscript Formatting Guidelines. See formatting instructions here: https://www.ntnu.edu/iik/digital_forensics/ieee-bigdata-2017-formatting-ins… *** BEST PAPERS *** Selected papers are nominated for submission to “Special Issue on Cyber Threat Intelligence and Analytics”. Extended papers should have at least 60% of new material and will be sent through a review process to ensure the quality of contributions. *** CONTACTS*** If you have any questions, do not hesitate to contact Andrii Shalaginov (andrii.shalaginov(a)ntnu.no) and Jan William Johnsen (jan.w.johnsen(a)ntnu.no). Best regards, Andrii Shalaginov, on behalf of Katrin Franke and Jan William Johnsen Norwegian University of Science and Technology, Gjøvik, Norway

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[SIMPDA2017] Submission Deadline Approaching: October 4, 2017
by Fulvio Frati 12 Sep '17

12 Sep '17

** SIMPDA 2017 ** [Apologies if you receive multiple copies of this cfp] **************************************************************************** *** SIMPDA 2017 SEVENTH INTERNATIONAL SYMPOSIUM ON DATA-DRIVEN PROCESS DISCOVERY AND ANALYSIS 6-8 DECEMBER, 2017 - NEUCHATEL, SWITZERLAND http://simpda2017.di.unimi.it **************************************************************************** *** ## About SIMPDA With the increasing automation of business processes, growing amounts of process data become available. This opens new research opportunities for business process data analysis, mining and modeling. The aim of the IFIP 2.6 International Symposium on Data-Driven Process Discovery and Analysis is to offer a forum where researchers from different communities and the industry can share their insight in this hot new field. The Symposium will feature a number of keynotes illustrating advanced approaches, shorter presentations on recent research, a competitive PhD seminar and selected research and industrial demonstrations. This year the symposium will be held in Neuchatel. ###Call for Papers The IFIP International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA 2017) offers a unique opportunity to present new approaches and research results to researchers and practitioners working in business process data modelling, representation and privacy-aware analysis. The symposium will bring together leading researchers, engineers and scientists from around the world. Full papers must not exceed 15 pages. Short papers are limited to at most 4 pages. All papers must be original contributions, not previously published or under review for publication elsewhere. All contributions must be written in English and must follow the LNCS Springer Verlag format. Templates can be downloaded from: http://www.springer.de/comp/lncs/authors.html Accepted papers will be published in a pre-proceeding volume of CEUR workshop series. The authors of the accepted papers will be invited to submit extended articles to a post-symposium proceedings volume which will be published in the LNBIP series (Lecture Notes in Business Information Processing, http://www.springer.com/series/7911), scheduled for late 2018 (extended papers length will be between 7000 and 9000 words). Around 10-15 papers will be selected for publication after a second round of review. ### Topics Topics of interest for submission include, but are not limited to: - Business Process Modeling languages, notations and methods - Lightweight Process Model - Data-aware and data-centric approaches - Process Mining with Big Data - Variability and configuration of process models - Process simulation and static analyses - Process data query languages - Process data mining - Privacy-aware process data mining - Process metadata and semantic reasoning - Process patterns and standards - Foundations of business process models - Resource management in business process execution - Process tracing and monitoring - Process change management and evolution - Business process lifecycle - Case studies and experience reports - Social process discovery - Crowdsourced process definition and discovery ### Workshop Format: In accordance to our historical tradition of proposing SIMPDA as a symposium, we propose an innovative format for this workshop: The number of sessions depend on the number of submissions but, considering the previous editions, we envisage to have four sessions, with 4-5 related papers assigned to each session. A special session (with a specific review process) will be dedicated to discuss research plan from PhD students. Papers are pre-circulated to the authors that will be expected to read all papers in advance but to avoid exceptional overhead, two are assigned to be prepared with particular care, making ready comments and suggestions. The bulk of the time during each session will be dedicated to open conversations about all of the papers in a given session, along with any linkages to the papers and discussions within an earlier session. The closing session (30 minutes), will include a panel about open challenges during which every participant will be asked to assemble their thoughts/project ideas/goals/etc that they got out of the workshop. ### Call for PhD Research Plans The SIMPDA PhD Seminar is a workshop for Ph.D. students from all over the world. The goal of the Seminar is to help students with their thesis and research plans by providing feedback and general advice on how to use their research results. Students interested in participating in the Seminar should submit an extended abstract describing their research. Submissions can relate to any aspect of Process Data: technical advances, usage and impact studies, policy analyses, social and institutional implications, theoretical contributions, interaction and design advances, innovative applications, and social implications. Research plans should be at most of 5 page long and should be organised following the following structure: - Abstract: summarises, in 5 line, the research aims and significance. - Research Question: defines what will be accomplished by eliciting the relevant the research questions. - Background: defines the background knowledge providing the 5 most relevant references (papers or books). - Significance: explains the relevance of the general topic and of the specific contribution. - Research design and methods: describes and motivates the method adopted focusing on: assumptions, solutions, data sources, validation of results, limitations of the approach. - Research stage: describes what the student has done so far. ### SIMPDA PhD award A doctoral award will be given by the SIMPDA PhD Jury to the best research plan submitted. Student Scholarships An application for a limited number of scholarships aimed at students coming from emerging countries has been submitted to IFIP. In order to apply, please contact paolo.ceravolo(a)unimi.it ### CALL for Demonstrations and Posters Demonstrations showcase innovative technology and applications, allowing for sharing research work directly with colleagues in a high-visibility setting. Demonstration proposals should consist of a title, an extended abstract, and contact information for the authors, and should not exceed 10 pages. Posters allow the presentation of late-breaking results in an informal, interactive manner. Poster proposals should consist of a title, an extended abstract, contact information for the authors, and should not exceed 2 pages. Accepted demonstrations and posters will be presented at the symposium. Abstracts will appear in the proceedings. ### Important Dates - Paper Submission: 4 October 2017 - Submission of PhD Presentations: 4 October 2017 - Notification of Acceptance: 14 November 2017 - Submission of Camera Ready Papers: 28 November 2017 - Second International Symposium on Process Data: 6-8 December 2017 - Post-proceeding submissions: 30 March 2018 ## Keynote Speakers * Enabling largely automated social media analytics * Karl Aberer Distributed Information Systems Laboratory (LSIR), EPFL In this talk we will report on our recent advances in automating the analysis of social media data. We first will review our recent work on a platform for analysing social media data in terms of topics discussed, communities and their influencers. This platform has been successfully used in a number of practical use case. When using the platform we identified the creation of domain-specific taxonomies as the main bottleneck in the analysis process. To tackle this issue we developed a novel method for taxonomy induction from domain-specific document corpora. In the second part of the talk we will discuss this method and some of the novel ideas that enabled us to produce high quality domain-specific taxonomies on the fly. ## Organizers ### CHAIRS - Paolo Ceravolo, Università degli Studi di Milano, Italy - Maurice van Keulen, University of Twente, The Netherlands - Kilan Stoffel, University of Neuchatel, Switzerland ### ADVISORY BOARD - Ernesto Damiani, Università degli Studi di Milano, Italy - Erich Neuhold, University of Vienna, Austria - Philippe Cudré-Mauroux , University of Fribourg, Switzerland - Robert Meersman, Graz University of Technology, Austria - Wilfried Grossmann, University of Vienna, Austria ### Program Committee - Akhil Kumar, Penn State University, USA - Benoit Depaire, University of Hasselt, Belgium - Chintan Mrit, University of Twente, The Netherlands - Christophe Debruyne, Trinity College Dublin, Ireland - Ebrahim Bagheri, Ryerson University, Canada - Edgar Weippl, TU Vienna, Austria - Fabrizio Maria Maggi, University of Tartu, Estonia - George Spanoudakis, City University London, UK - Haris Mouratidis, University of Brighton, UK - Isabella Seeber, University of Innsbruck, Austria - Jan Mendling, Vienna University of Economics and Business, Austria - Josep Carmona, UPC - Barcelona, Spain - Kristof Boehmer, University of Vienna, Austria - Manfred Reichert, Ulm University, Germany - Marcello Leida, TAIGER, Spain - Mark Strembeck, WU Vienna, Austria - Massimiliano De Leoni, Eindhoven TU, Netherlands - Matthias Weidlich, Imperial College, UK - Mazak Alexandra, University of Vienna, Austria - Mohamed Mosbah, University of Bordeaux - Mustafa Jarrar, Birzeit University, Palestine - Robert Singer, FH Joanneum, Austria - Roland Rieke, Fraunhofer SIT, Germany - Schahram Dustdar, Vienna University of Technology, Austria - Thomas Vogelgesang, University of Oldenburg, Germany - Valentina Emilia Balas, University of Arad, Romania - Wil Van der Aalst, Technische Universiteit Eindhoven, The Netherlands

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Deadline extension: 3rd Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC 2017) at SC17: Extended abstracts due Sept. 15
by Jason D. Bakos 09 Sep '17

09 Sep '17

========================================================================== ** Call for Papers ** ========================================================================== Third International Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC 2017) Held in conjunction with Supercomputing 2017 Friday Morning, November 17, 2017 Denver, CO http://h2rc.cse.sc.edu ========================================================================== Submission Deadline (EXTENDED): September 15, 2017 (one page extended abstracts) ========================================================================== As conventional von-Neumann architectures are suffering from rising power densities, we are facing an era with power, energy efficiency, and cooling as first-class constraints for scalable HPC. FPGAs can tailor the hardware to the application, avoiding overheads and achieving higher hardware efficiency than general-purpose architectures. Leading FPGA manufacturers have recently made a concerted effort to provide a range of higher-level, easier to use high-level programming models for FPGAs. Such initiatives are already stimulating new interest within the HPC community around the potential advantages of FPGAs over other architectures. With this in mind, this workshop, now in its third year, brings together HPC and heterogeneous-computing researchers to demonstrate and share experiences on legacy and new high-level programming models, optimizations specific to scientific computing and data analytics, tools for performance/energy improvements, FPGA computing in the cloud, and popular applications for reconfigurable computing such as machine learning and big data. ========================================================================== Submissions (one page extended abstract): Submissions are solicited that explore the state of the art in the use of FPGAs in heterogeneous high-performance computing architectures and, at a system level, in data centers and supercomputers. FPGAs may be considered from either or both the distributed, parallel and composable fabric of compute elements or from their dynamic reconfigurability. We particularly encourage submissions which focus on the mapping of algorithms and applications to heterogeneous FPGA-based systems as well as the overall impact of such architectures on the compute capacity, cost, power efficiency, and overall computational capabilities of data centers and supercomputers. Submissions may report on theoretical or applied research, implementation case studies, benchmarks, standards, or any other area that promises to make a significant contribution to our understanding of heterogeneous high-performance reconfigurable computing and will help to shape future research and implementations in this domain. A non-comprehensive list of potential topics of interest is given below: 1. FPGAs in Supercomputer, Cloud and Data Center: FPGAs in relation to challenges to Cloud/Data Center/Supercomputing posed by the end of Dennard scaling 2. Supercomputing, Cloud and Data Center Applications: Exploiting FPGA compute fabric to implement critical cloud/HPC applications 3. Leveraging Reconfigurability: Using reconfigurability for new approaches to algorithms used in cloud/HPC applications 4. Benchmarks: Compute performance and/or power and cost efficiency for cloud/HPC with heterogeneous architectures using FPGAs 5. Implementation Studies: Heterogenous Hardware and Management Infrastructure 6. Programming Languages/Runtimes/OS/Tools/Frameworks for Heterogeneous High Performance Reconfigurable Computing 7. Future-gazing: New Applications/The Cloud Enabled by Heterogeneous High Performance Reconfigurable Computing, Evolution of Computer Architecture in relation to Heterogeneous High Performance Reconfigurable Computing 8. Community building: Standards, consortium activity, open source, education, initiatives to enable and grow Heterogeneous High Performance Reconfigurable Computing Prospective authors are invited to submit original and unpublished contributions as a ONE PAGE EXTENDED ABSTRACT in ACM SIG Proceedings format. ========================================================================== You can submit your contribution(s) through a link on the H2RC website: http://h2rc.cse.sc.edu ========================================================================== Important dates: Submission Deadline (extended): September 15, 2017 Acceptance Notification: October 15, 2017 Camera-ready Manuscripts Due: November 4, 2017 Workshop Date: November 17, 2017 ========================================================================== Workshop Format: H2RC is a half-day Friday workshop. It will be comprised of Keynote and invited talks and talks selected from paper submissions. Preliminary Agenda: 8:30 a.m. Opening Remarks 8:35 a.m. Keynote 1: FPGAs in AWS and First Use Cases (joint talk by AWS, Ngcodc and Xilinx) 9:35 a.m. Lightning Talks 10:00 a.m. Coffee break 10:30 a.m. Keynote 2: Brainwave (Microsoft Research) 11:30 p.m. Lightning talks 12:00 p.m. Invited talk 12:30 p.m. Adjorn ========================================================================== Organizing Committee: Workshop Organizers: Michaela Blott, Xilinx Franck Cappello, Argonne National Lab Torsten Hoefler, ETH Zurich Jason D. Bakos, University of South Carolina Program Committee: Rizwan Ashraf, Oak Ridge National Laboratory Paul Chow, University of Toronto Hans Eberle, NVIDIA Alan George, University of Florida Christoph Hagleitner, IBM Miriam Leeser, Northeastern University Viktor Prasanna, Univ. of Southern California Marco Santambrogio, Politecnico Di Milano Jeffrey Vetter, Oak Ridge National Lab -- Jason D. Bakos, Ph.D. Professor Dept. of Computer Science and Engineering Univ. of South Carolina 301 Main St., Suite 3A01L Columbia, SC 29208 803-777-8627 (voice), 803-777-3767 (fax) http://www.cse.sc.edu/~jbakos jbakos(a)cse.sc.edu

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call for proposals: AISB 2018
by Grasso, Floriana 08 Sep '17

08 Sep '17

The Society for the Study of Artificial Intelligence and Simulation for Behaviour (AISB) is soliciting proposals for symposia to be held at the AISB 2018 convention. The longest running convention on Artificial Intelligence, AISB 2018 will be held at the University of Liverpool, chaired by Floriana Grasso and Louise Dennis. As in the past years, AISB 2018 will provide a unique forum for presenting cutting edge research and burning issues around all areas of AI. The theme for this year is "AI for the Digital Society". Convention Format The convention will consist of parallel symposia, and will run from April 4th to April 6th 2018. Symposia will typically span half a day or one day; where the number of high quality submissions is high, a symposium will last more than one day. Symposia can include any type of event of academic benefit: talks, posters, panels, performances, discussions, demonstrations, outreach sessions, etc. Important dates * Deadline for symposium proposals: 15th September 2017 * Notification to proposers of accepted symposia: 30th September 2017 * Final papers delivered for the (online) proceedings: 16th March 2018 - THIS IS A HARD DEADLINE * Convention 4th-6th April 2018, depending on the number of symposia. There may be a day of workshops or tutorials immediately before the convention (3rd April 2018). More information here: http://aisb2018.csc.liv.ac.uk/cfs.html Completed proposals should be submitted to the committee via EasyChair at https://easychair.org/conferences/?conf=aisb2018 Dr Floriana Grasso Department of Computer Science University of Liverpool A: G16, Ashton Building, Liverpool L69 3GJ, United Kingdom P: +44 (0)151 795 4240 W: http://www.csc.liv.ac.uk/~floriana/<https://owa.liv.ac.uk/owa/redir.aspx?C=1OE2ZazJZs-L4GmGx9B1nWJiy_BTGDn5Ku4w…> ATHENA SWAN<https://owa.liv.ac.uk/owa/redir.aspx?C=zUOqaFp7BOiTh7TlnCjzRPMBzRioAqwhkrIp…> - recognising and celebrating good employment practice for women working in science, technology, engineering, maths and medicine (STEMM) in higher education and research

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[IEEE ICCI*CC'17:] Dr. Lotfi A. Zadeh passed away
by Yingxu Wang 08 Sep '17

08 Sep '17

Dear Colleague, I am deeply pathetic to share the sad news that Prof. Lotfi A. Zadeh has passed away on Sept. 6, 2017 in age of 97. Prof. Zadeh has been our Honorary Chair for the IEEE ICCI*CC Series since 2002. His vision has guided us to build the Cognitive Informatics and Cognitive Computing Community and related research in the last 16 years. Prof. Zadeh was a giant scientist of the world. His seminal work in logic, fuzzy mathematics, and soft computing, etc., have and will influence many generations of researchers and students. We will remember his pioneer contributions to knowledge forever. As Stuart Rubin wrote: "I would like to share some words, which I believe he would have shared with you, if I may: 'Though I am bodily gone, I will continue on in your hearts and sole - more fuzzy now than ever so long as you remember me and my work.' Rest in peace, dear Lotfi. With our best regards, Yingxu Wang Chair, The Steering Committee of IEEE ICCI*CC Conference Series -------------------------------------------------------------------------------------------- Yingxu Wang, PhD, FBCS, FICIC, FWIF, SMIEEE, SMACM, PEng Professor of Computational Intelligence, Software Science, Brain Science, & Denotational Mathematics Visiting Professor: Stanford Univ. (2008|16), MIT (2012), UC Berkeley (2008), Oxford Univ. (1995) President, International Institute of Cognitive Informatics and Cognitive Computing (ICIC, http://www.ucalgary.ca/icic/) Director, Lab for Computational Intelligence and Cognitive Systems Dept. of Electrical and Computer Engineering Schulich School of Engineering (SSE) and Hotchkiss Brain Institute (HBI) University of Calgary 2500 University Drive, NW Calgary, AB, Canada T2N 1N4 Tel: (403) 220-6141 Fax: (403) 282-6855 http://schulich.ucalgary.ca/profiles/yingxu-wang http://www.researchgate.net/profile/Yingxu_Wang ------------------------------------------------------------------------------------------ Editor-in-Chief, International Journal of Cognitive Informatics and Natural Intelligence (IJCINI) Editor-in-Chief, International Journal of Software Science and Computational Intelligence (IJSSCI) Associate Editor, IEEE Transactions on System, Man, and Cybernetics- Systems Editor-in-Chief, Journal of Advanced Mathematics and Applications (JAMA) Editor-in-Chief, Journal of Mathematical and Computational Methods (JMCM) <http://www.researchgate.net/institution/The_University_of_Calgary/stats> ------------------------------------------------------------------------------------------ _______________________________________________ This message was sent to all subscribers of ieeeicci13-L To unsubscribe, see instructions at: http://www.ucalgary.ca/it/email/mailman E-mail: ieeeicci13-L(a)mailman.ucalgary.ca Homepage: http://mailman.ucalgary.ca/mailman/listinfo/ieeeicci13-l

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Postdoctoral position in computer science at IRISA laboratory: Automatic « Clustering » of handwriting gestures
by Eric Anquetil 07 Sep '17

07 Sep '17

Postdoctoral position in computer science at IRISA laboratory (France, Rennes) : Automatic « Clustering » of handwriting gestures We apologize in advance if you receive multiple copies of this CFP. This position is related to the new project “e-fran” called ACTIF with a 4 years funding from the French government (“programme investissement d’avenir”). ACTIF aims at designing and experimenting tools and pedagogical approaches to help the “active” and “collaborative” learning in secondary school based on digital tablets oriented “stylus”. Among the partnership of the project can be cited INSA, IRISA, LP3C, Loustic, the company Script&Go, the Brittany region and the academy of Rennes. * Institution : INSA Rennes, IRISA Laboratory * Service : INTUIDOC research team – IRISA (France) * Project : e-fran /ACTIF (Learning et Collaboration with digital Tablets, Interactions and Feedback) * Position available from: September 1st, 2017 * Duration : fixed-term contract of 12 months (possibility of extension) * Salary: around 2100 € / month (net) Job description : <https://www-intuidoc.irisa.fr/files/2017/09/PostDoctoral-Automatic-Clusteri…>https://www-intuidoc.irisa.fr/files/2017/09/PostDoctoral-Automatic-Clusteri… must have a completed PhD and research experience in patternrecognition.Candidates should send a CV and a motivation letter toeric.anquetil(a)irisa.fr.---Eric ANQUETILProfessor at INSA, IRISA LaboratoryHead of Intuidoc team (http://www.irisa.fr/intuidoc)Program Manager of the Master of Science "Innovation and Entrepreneurship"Phone : +33 (0)6 22 93 44 18

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CFP: Parallel Computational Technologies 2018 (Rostov-on-Don, Russia, April 2-6, 2018)
by Цымблер Михаил Леонидович 07 Sep '17

07 Sep '17

FIRST ANNOUNCEMENT AND CALL FOR PAPERS Parallel Computational Technologies (PCT'2018), 12th International Scientific Conference, April 2-6, 2018, Rostov-on-Don, Russia http://agora.guru.ru/pavt/eng Conference founders: Russian Academy of Sciences (http://www.ras.ru) HPC Consortium of Russian Universities (http://hpc-russia.ru) Sponsored by Russian Foundation for Basic Research (http://www.rfbr.ru/rffi/eng) WELCOME Russian Academy of Sciences, High-Performance Computing Consortium of Russian Universities, Moscow State University, Don State Technical University, and South Ural State University are jointly organizing the 12th International Scientific Conference on Parallel Computational Technologies (PCT'2018) to be held in Rostov-on-Don, Russia, April 2-6, 2018. The main purpose of the PCT'2018 conference is to provide an opportunity to discuss the future of parallel computing as well as to report the results achieved by leading research groups in solving science and equipment issues using supercomputer technologies. The scope of the conference includes all aspects of high performance computing in science and technology such as applications, hardware and software, programming languages, etc. The 28th edition of Top50 of the CIS's most powerful computers will be announced on the first day of the conference. On working days of the conference, a supercomputer exhibition will be organized, where leading manufacturers of hardware and software present their latest products in the field of high performance computing. LANGUAGE The official languages of the Conference are Russian and English. SCOPE The scope of the conference includes, but not limited to, the following topics: * Parallel and distributed computing technologies * Cloud computing * Prospective multiprocessor architectures * Parallel and distributed database systems * High performance data mining * Artificial neural networks and deep learning * Management, administration, monitoring and testing of multiprocessor systems * Computational Mathematics * Computational Physics * Computational Chemistry * Gas hydrodynamics and heat transfer * High nonlinear and rapid processes in mechanics * Bioinformatics and medicine * Nanotechnology * Geoinformatics * Cryptography * Image processing and visualization * Computer algebra * Supercomputer education. CALL FOR PAPERS PCT'2018 admits papers presenting original contribution that have not been previously published and are not being submitted to another conference or journal. There are three categories of submissions: * Full paper describes the results of completed scientific research (12 to 15 pages in the LNCS one-column page format). * Short paper reports preliminary results of uncompleted scientific research (up to 12 pages in the LNCS one-column page format). * Abstract of the poster contains information about plans and initial results of recently started scientific research (one standard A4 page). Papers may be prepared in LaTeX or MS Word according to the LNCS one-column page format (cf. guidelines at the conference website http://agora.guru.ru/pavt2018/, "For Authors" section). Papers should be submitted electronically in PDF format through EasyChair system https://easychair.org/conferences/?conf=pct2018 by December 1, 2017. Each paper will be reviewed by three Program Committee members and/or invited experts to ensure high quality and relevance to the conference. At least one author of the accepted paper must attend the conference and present the paper. PROCEEDINGS All accepted full papers will be published in Springer's Communications in Computer and Information Science series (indexed in Web of Science and Scopus). All accepted short papers and posters will be published electronically and indexed in Russian Science Index. The best short papers will be published (after further revision) in Computational Mathematics and Software Engineering series of the Bulletin of the South Ural State University (http://vestnikvmi.susu.ru/). IMPORTANT DATES * Submission of abstracts: November 1, 2017 * Submission of the papers: December 1, 2017 * Notification of acceptance: January 15, 2018 * Camera-ready version: February 15, 2018 * Registration for participation in supercomputer exhibition: February 25, 2018 * Registration of participants (non-speakers): March 26, 2018 * Conference: April 2-6, 2018 April 2: arrival date April 3-5: conference work dates April 6: departure date CONTACT INFORMATION WEB PAGES Conference web site: http://agora.guru.ru/pavt/eng Submission web site: https://easychair.org/conferences/?conf=pct2018. Leonid Sokolinsky, DSc., Prof. (SUSU, Chelyabinsk) Co-chair of the PCT Program Committee E-mail: Leonid.Sokolinsky(a)susu.ru Tel.: (+7-351) 272 35 00 Mikhail Zymbler, CSc., Assoc. Prof. (SUSU, Chelyabinsk) Academic secretary of the PCT Program Committee E-mail: mzym(a)susu.ru Tel.: (+7-351) 267 90 06, ext. 112 PROGRAM COMMITTEE Chairman of the Program Committee: Viktor Sadovnichiy, academician of RAS, Moscow State University (Russia) Co-chairs of the Program Committee: Jack Dongarra, University of Tennessee (USA) Leonid Sokolinsky, South Ural State University (Russia) Vladimir Voevodin, corresponding member of RAS, Moscow State University (Russia) Academic secretary of the Program Committee: Mikhail Zymbler, South Ural State University (Russia) Members of the Program Committee: S.V. Ablameyko, Belarusian State University (Republic of Belarus) A.P. Afanasiev, Institute for Systems Analysis RAS (Russia) E.N. Akimova, Institute of Mathematics and Mechanics UrB RAS (Russia) A. Andrzejak, Heidelberg University (Germany) P. Balaji, Argonne National Laboratory (USA) Y.Ya. Boldyrev, Saint-Petersburg Polytechnic University (Russia) J. Carretero, Carlos III University of Madrid (Spain) R.K. Gazizov, Ufa State Aviation Technical University (Russia) V.P. Gergel, State University of Nizhny Novgorod (Russia) B.M. Glinsky, Institute of Computational Mathematics and Mathematical Geophysics SB RAS (Russia) V.D. Goryachev, Tver State Technical University (Russia) V.P. Il'in, Institute of Computational Mathematics and Mathematical Geophysics SB RAS (Russia) H. Kobayashi, Tohoku University (Japan) J. Kunkel, University of Hamburg (Germany) J. Labarta, Barcelona Supercomputing Center (Spain) A. Lastovetsky, University College Dublin (Ireland) T. Ludwig, German Climate Computing Center (Germany) V.N. Lykosov, Institute of Numerical Mathematics RAS (Russia) D. Mallmann, Julich Supercomputing Centre (Germany) M. Michalewicz, A*STAR Computational Resource Centre (Singapore) V.E. Malyshkin, Institute of Computational Mathematics and Mathematical Geophysics SB RAS (Russia) V.Ya. Modorsky, Perm Polytechnic University (Russia) A.V. Shamakina, High Performance Computing Center in Stuttgart (Germany) P. Shumyatsky, University of Brasilia (Brazil) H. Sithole, Centre for High Performance Computing (Republic of South Africa) A.V. Starchenko, Tomsk State University (Russia) T. Sterling, Indiana University (USA) M. Taufer, University of Delaware (USA) V.E. Turlapov, State University of Nizhny Novgorod (Russia) R. Wyrzykowski, Czestochowa University of Technology (Poland) M.V. Yakobovsky, Institute for Mathematical Modelling RAS (Russia) Y. Yamazaki, Federal University of Pelotas (Brazil)

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[CFP] REMINDER: IA^3 2017 Deadline upcoming
by Tumeo, Antonino 05 Sep '17

05 Sep '17

NEWS: UPCOMING DEADLINE!!! IA^3 2017 Seventh Workshop on Irregular Applications: Architectures and Algorithms http://hpc.pnl.gov/IA3/ November 13, 2017 In conjunction with SC17 In collaboration with ACM SIGHPC Sponsored by IEEE TCHPC Call for Papers Irregular applications occur in many subject matters. While inherently parallel, they exhibit highly variable execution performance at a local level due to unpredictable memory access patterns and/or network transfers, divergent control structures, and data imbalances. Moreover, they often require fine-grain synchronization and communication on large-data structures such as graphs, trees, unstructured grids, tables, sparse matrices, deep nets, and their combinations (such as, for example, attributed graphs). They have a significant degree of latent parallelism, which however is difficult to exploit due to their complex behavior. Current high performance architectures rely on data locality and regular computation to reduce access latencies, and often do not cope well with the requirements of these applications. Furthermore, irregular applications are difficult to scale on current supercomputing machines, due to their limits in fine-grained synchronization and small data transfers. Irregular applications pertain both to well established and emerging fields, such as machine learning, social network analysis, bioinformatics, semantic graph databases, Computer Aided Design (CAD), and computer security. Many of these application areas also process massive sets of unstructured data, which keep growing exponentially. Addressing the issues of irregular applications on current and future architectures will become critical to solve the challenges in science and data analysis of the next few years. This workshop seeks to explore solutions for supporting efficient execution of irregular applications in the form of new features at the level of the micro- and system-architecture, network, languages and libraries, runtimes, compilers, analysis, algorithms. Topics of interest, of both theoretical and practical significance, include but are not limited to: * Micro- and System-architectures, including multi- and many-core designs, heterogeneous processors, accelerators (GPUs, vector processors, Automata processor), reconfigurable (coarse grained reconfigurable and FPGA designs) and custom processors * Network architectures and interconnect (including high-radix networks, optical interconnects) * Novel memory architectures and designs (including processors-in memory) * Impact of new computing paradigms on irregular workloads (including neuromorphic processors and quantum computing) * Modeling, simulation and evaluation of novel architectures with irregular workloads * Innovative algorithmic techniques * Combinatorial algorithms (graph algorithms, sparse linear algebra, etc.) * Impact of irregularity on machine learning approaches * Parallelization techniques and data structures for irregular workloads * Data structures combining regular and irregular computations (e.g., attributed graphs) * Approaches for managing massive unstructured datasets (including streaming data) * Languages and programming models for irregular workloads * Library and runtime support for irregular workloads * Compiler and analysis techniques for irregular workloads * High performance data analytics applications, including graph databases Besides regular papers, papers describing work-in-progress or incomplete but sound, innovative ideas related to the workshop theme are also encouraged. We solicit both 8-page regular papers and 4-page position papers. Authors of exciting but not mature enough regular papers may be offered the option of a short 4-page paper and related short presentation. Artifact Evaluation For this edition of IA^3, authors of accepted regular papers will be invited to formally submit their supporting materials to the Artifact Evaluation process, similarly to the process followed for SC17. The participation to the Artifact Evaluation process is voluntary and will not change decisions regarding the paper. However, papers that undergo the evaluation process will receive a seal of approval on the paper, and will be able to participate in the BEST PAPER AWARD selection. DIVIDITI will provide an Amazon Gift Voucher (valued $200) to the authors of the paper that passes artifact evaluation with the highest score and that shares the artifact in the CK (Collective Knowledge - https://github.com/ctuning/ck) format. Authors that go through the Artifact Evaluation process are also encouraged (but not mandated) to submit the supporting materials as “Source Materials” in the digital library. For details on how to submit supporting materials to the Artifact Evaluation process, please refer to: http://ctuning.org/ae/submission.html. For any additional question on the Artifact Evaluation process please contact the Artifact Evaluation Chair Flavio Vella. Important Dates Abstract submission: 7 September 2017 - EXTENDED - FIRM Position or full paper submission: 7 September 2017 - EXTENDED - FIRM Notification of acceptance: 3 October 2017 Camera-ready position and full papers: 10 October 2017 Workshop: 13 November 2017 Submissions Submission site: https://easychair.org/conferences/?conf=ia32017 All submissions should be in double-column, single-spaced letter format, with at least one-inch margins on each side and respect the ACM standard proceedings templates (sigconf) available at: https://www.acm.org/publications/proceedings-template. The proceedings of the workshop will be published in cooperation with ACM SIGHPC. Submitted manuscripts may not exceed eight (8) pages in length for regular papers and four(4) pages for position papers including figures, tables and references. Organizers Antonino Tumeo, PNNL, US John Feo, PNNL/NIAC, US, Vito Giovanni Castellana, PNNL, US Artifact Evaluation Chair Flavio Vella, DIVIDITI, UK Publication Chair Marco Minutoli, PNNL, US Program Committee Scott Beamer, LBNL, US Michela Becchi, North Carolina State University, US Erik Boman, Sandia National Laboratories, US David Brooks, Harvard University, US Aydin Buluc, LBNL, US Sunita Chandrasekaran, University of Delaware, US Fabio Checconi, IBM, US Rajiv Gupta, Univerisity of California Riverside, US Maya Gokhale, LLNL, US Peter Kogge, Univ. of Notre Dame, US Vivek Kumar, Rice University, US John Leidel, Texas Tech University, US Kamesh Madduri, Pennsylvania State University, US Naoya Maruyama, RIKEN AICS, JP Tim Mattson, Intel, US Miquel Moreto, BSC and UPC, SP Richard Murphy, Micron Technology Inc, US Walid Najjar, University of California Riverside, US Maxim Naumov, NVIDIA, US Jacob Nelson, University of Washington, US Sreepathi Pai, University of Rochester, US Roger Pearce, LLNL, US Miquel Pericas, Chalmers University, SE Viktor Prasanna, University Of Southern California, US Alejandro Rico, ARM, US Jason Riedy, Georgia Institute of Technology, US Erik Saule, University of North Carolina at Charlotte, US John Shalf, LBNL, US Shaden Smith, University of Minnesota, US Bora Ucar, CNRS and LIP ENS Lyon, FR Ruud Van Der Pas, Oracle, US Flavio Vella, DIVIDITI, UK Ana Lucia Varbanescu, University of Amsterdam, NL Regards, Antonino Tumeo Research Scientist High Performance Computing Pacific Northwest National Laboratory

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5th Special Session on HPC in Modelling and Simulation - PDP 2018 - Cambridge, UK
by William Spataro 04 Sep '17

04 Sep '17

(sorry for cross postings) ************************************************************************** CALL FOR PAPERS: Fifth Special Session on High Performance Computing in Modelling and Simulation (HPCMS) Within PDP 2018 The 26th Euromicro International Conference on Parallel, and Network-Based Computing Cambridge, UK 21-23 March 2018 http://www.pdp2018.org/specialsessions/hpcms.html Deadline: September 15th, 2017 Contact: William Spataro - spataro(a)unical.it ************************************************************************* AIMS AND SCOPE The development of models through which computers can simulate the evolution of artificial and natural systems is fundamental for the advancement of Science. In the last decades, the increasing power of computers has allowed to considerably extend the application of computing methodologies in research and industry, but also to the quantitative study of complex phenomena. This has permitted a broad application of numerical methods for differential equation systems (e.g., FEM, FDM, etc.) on one hand, and the application of alternative computational paradigms, such as Cellular Automata, Genetic Algorithms, Neural networks, Swarm Intelligence, etc., on the other. These latter have demonstrated their effectiveness for modelling purposes when traditional simulation methodologies have proven to be impracticable. Following the success of our past HPCMS workshops which were held in Turin, Turku and Crete, we are glad to invite you to our fourth edition which will take place in St. Petersburg (Russia). An important mission of the HPCMS Workshop is to provide a platform for a multidisciplinary community composed of scholars, researchers, developers, educators, practitioners and experts from world leading Universities, Institutions, Agencies and Companies in Computational Science, and thus in the High Performance Computing for Modelling and Simulation field. HPCMS intent is to offer an opportunity to express and confront views on trends, challenges, and state-of-the art in diverse application fields, such as engineering, physics, chemistry, biology, geology, medicine, ecology, sociology, traffic control, economy, etc. Topics of interest include, but are not limited to, the following: - High-performance computing in computational science: intra-disciplinary and multi-disciplinary research applications - Complex systems modelling and simulation - Cellular Automata, Genetic Algorithms, Neural networks, Swarm Intelligence implementations - Integrated approach to optimization and simulation - MPI, OpenMP, GPGPU applications in Computational Science - Optimization algorithms, modelling techniques related to optimization in Computational Science - High-performance Software developed to solve science (e.g., biological, physical, and social), engineering, medicine, and humanities problems - Hardware approaches of high performance computing in modeling and simulation IMPORTANT DATES Paper submission: 15th Sep 2017 Acceptance notification: 13th Oct 2017 Camera ready due: 17nd Nov 2017 Conference: 21th - 23th Mar 2018 Submission guidelines Prospective authors should submit a full paper not exceeding 8 pages in the IEEE Conference proceedings format (IEEEtran, double-column, 10pt). Double-bind review: the first page of the paper should contain only the title and abstract; in the reference list, references to the authors’ own work should appear as "omitted for blind review" entries. For submission, please use the following link: http://www.easychair.org/conferences/?conf=pdp2018 Manuscript submission Publication All accepted papers will be included in the same volume, published by the Conference Publishing Services (CPS). The Final Paper Preparation and Submission Instructions will be published after the notification of acceptance. Authors of accepted papers are expected to register and present their papers at the Conference. Conference proceedings will be submitted for inclusion in Xplore and the CSDL, and for indexing, among others, to DBLP, Scopus ScienceDirect, and ISI Web of Knowledge. Special Issue As for previous editions, organizers of the HPCMS session are planning a Special Issue of an important international ISI Journal, based on distinguished papers that will be accepted for the session. For instance, a selected number of papers of the past workshop editions have been published on the ISI Journal “International Journal of High Performance Computing Applications” and “Concurrency and Computation: Practice and Experience”. Organizers William Spataro – University of Calabria, Italy Georgios Sirakoulis - Democritus University of Thrace, Greece Giuseppe A. Trunfio – University of Sassari, Italy Program Committee Gihan R. Mudalige, University of Warwick, UK Angelos Amanatiadis, Democritus University of Thrace, Greece Donato D’Ambrosio, University of Calabria, Italy Pawel Topa, AGH University of Science and Technology, Poland Gianluigi Folino, ICAR-CNR, Italy Lou D’Alotto, York College/CUNY, New York, USA Antonios Gasteratos, Democritus University of Thrace, Greece Ioakeim Georgoudas, Democritus University of Thrace, Greece Marco Beccutti, University of Torino, Italy Rolf Hoffmann, Darmstadt University, Germany Ioannis Karafyllidis, Democritus University of Thrace, Greece Yaroslav Sergeyev, University of Calabria, Italy Antisthenis Tsompanas, University of the West of England, UK Rocco Rongo, University of Calabria, Italy Georgios Sirakoulis, Democritus University of Thrace, Greece William Spataro, University of Calabria, Italy Giuseppe A. Trunfio, University of Sassari, Italy Marco Villani, University of Modena and Reggio Emilia, Italy Jaroslaw Was, AGH University of Science and Technology, Poland Davide Spataro, University of Calabria, Italy Massimo Cafaro, University of Salento, Italy Mario Cannataro, University Magna Graecia of Catanzaro, Italy -- ------------------------------------------------------------------------------- Il banner è generato automaticamente dal servizio di posta elettronica dell'Università della Calabria <http://www.unical.it>

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Call for papers ICSPS 2017
by Luis Anido Rifon 04 Sep '17

04 Sep '17

*2017 9th International Conference on Signal Processing Systems (ICSPS 2017)* AUT University, Auckland, New Zealand, November 27-30, 2017 www.icsps.org *Important dates* Paper Submission Deadline: Oct. 1, 2017 *Invited speakers* Prof. Robert Minasian, FIEEE, FOSA The University of Sydney, Australia; Prof. Liyanage C De Silva, Dean, Faculty of Integrated Technologies University of Brunei Darussalam, Brunei Darussalam; Assoc. Prof. Waleed Habib Abdulla The University of Auckland, New Zealand; Assoc. Prof. Ruili Wang Massey University, New Zealand; Prof. Luis Anido-Rifón University of Vigo, Spain *Publication* Submitted papers will be peer-reviewed and the accepted ones after proper registration and presentation will be published in the International Conference Proceedings Series by ACM (ISBN: 978-1-4503-5384-7), which will be archived in the ACM Digital Library and submitted for index by Ei Compendex, Scopus, Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science), etc. *Conference venue* This year 9th ICSPS will be held at The Sir Paul Reeves Building at AUT University, Auckland, New Zealand for the third time. *Schedule* November 27, 2017 10:00 AM - 17:00 PM Participants Onsite Registration & Conference Materials Collection November 28, 2017 9:30 AM - 12:00 AM Opening Ceremony and Keynote Speeches November 28, 2017 13:30 PM - 18:00 PM Oral and Poster Sessions November 29, 2017 9:30 AM - 12:00 AM Keynote Speeches November 29, 2017 13:30 PM - 18:00 PM Oral and Poster Sessions November 30, 2017 10:00 AM- 12:00 AM Academic Visit *Contact* Conference secretary: Yolanda Dong E-mail: icsps(a)iacsit.org Tel:+86-28-86528758

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CFP: 2018 IEEE/ACM Design Automation Conference Hardware Design Contest
by Yiyu Shi 01 Sep '17

01 Sep '17

The 2018 IEEE/ACM Design Automation Conference Hardware Design Contest features embedded hardware implementation of neural network based target tracking for drones. Contestants will receive training dataset provided by our industry sponsor DJI <https://www.dji.com/>, and a hidden dataset will be used to evaluate the performance of the designs in terms of accuracy and power. Contestants will compete in two different categories: FPGA and GPU, and grand cash awards will be given to the top three teams in each category. In addition, our industry sponsor Xilinx and Nvidia will provide a limited number of successfully registered teams with a free design kit (on a first-come-first-served basis). The award ceremony will be held at 2018 IEEE/ACM Design Automation Conference <https://dac.com/>. For more details or to register, please go to http://www.cse.cuhk.edu.hk/ ~byu/2018-DAC-HDC/ Cordially, 2018 HDC Organizing Committee

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Deadline extension: 3rd Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC 2017) at SC17: Extended abstracts due Sept. 15
by Jason D. Bakos 01 Sep '17

01 Sep '17

========================================================================== ** Call for Papers ** ========================================================================== Third International Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC 2017) Held in conjunction with Supercomputing 2017 Friday Morning, November 17, 2017 Denver, CO http://h2rc.cse.sc.edu ========================================================================== Submission Deadline (EXTENDED): September 15, 2017 (one page extended abstracts) ========================================================================== As conventional von-Neumann architectures are suffering from rising power densities, we are facing an era with power, energy efficiency, and cooling as first-class constraints for scalable HPC. FPGAs can tailor the hardware to the application, avoiding overheads and achieving higher hardware efficiency than general-purpose architectures. Leading FPGA manufacturers have recently made a concerted effort to provide a range of higher-level, easier to use high-level programming models for FPGAs. Such initiatives are already stimulating new interest within the HPC community around the potential advantages of FPGAs over other architectures. With this in mind, this workshop, now in its third year, brings together HPC and heterogeneous-computing researchers to demonstrate and share experiences on legacy and new high-level programming models, optimizations specific to scientific computing and data analytics, tools for performance/energy improvements, FPGA computing in the cloud, and popular applications for reconfigurable computing such as machine learning and big data. ========================================================================== Submissions (one page extended abstract): Submissions are solicited that explore the state of the art in the use of FPGAs in heterogeneous high-performance computing architectures and, at a system level, in data centers and supercomputers. FPGAs may be considered from either or both the distributed, parallel and composable fabric of compute elements or from their dynamic reconfigurability. We particularly encourage submissions which focus on the mapping of algorithms and applications to heterogeneous FPGA-based systems as well as the overall impact of such architectures on the compute capacity, cost, power efficiency, and overall computational capabilities of data centers and supercomputers. Submissions may report on theoretical or applied research, implementation case studies, benchmarks, standards, or any other area that promises to make a significant contribution to our understanding of heterogeneous high-performance reconfigurable computing and will help to shape future research and implementations in this domain. A non-comprehensive list of potential topics of interest is given below: 1. FPGAs in Supercomputer, Cloud and Data Center: FPGAs in relation to challenges to Cloud/Data Center/Supercomputing posed by the end of Dennard scaling 2. Supercomputing, Cloud and Data Center Applications: Exploiting FPGA compute fabric to implement critical cloud/HPC applications 3. Leveraging Reconfigurability: Using reconfigurability for new approaches to algorithms used in cloud/HPC applications 4. Benchmarks: Compute performance and/or power and cost efficiency for cloud/HPC with heterogeneous architectures using FPGAs 5. Implementation Studies: Heterogenous Hardware and Management Infrastructure 6. Programming Languages/Runtimes/OS/Tools/Frameworks for Heterogeneous High Performance Reconfigurable Computing 7. Future-gazing: New Applications/The Cloud Enabled by Heterogeneous High Performance Reconfigurable Computing, Evolution of Computer Architecture in relation to Heterogeneous High Performance Reconfigurable Computing 8. Community building: Standards, consortium activity, open source, education, initiatives to enable and grow Heterogeneous High Performance Reconfigurable Computing Prospective authors are invited to submit original and unpublished contributions as a ONE PAGE EXTENDED ABSTRACT in ACM SIG Proceedings format. ========================================================================== You can submit your contribution(s) through a link on the H2RC website: http://h2rc.cse.sc.edu ========================================================================== Important dates: Submission Deadline (extended): September 15, 2017 Acceptance Notification: October 15, 2017 Camera-ready Manuscripts Due: November 4, 2017 Workshop Date: November 17, 2017 ========================================================================== Workshop Format: H2RC is a half-day Friday workshop. It will be comprised of Keynote and invited talks and talks selected from paper submissions. Preliminary Agenda: 8:30 a.m. Opening Remarks 8:35 a.m. Keynote 1: FPGAs in AWS and First Use Cases (joint talk by AWS, Ngcodc and Xilinx) 9:35 a.m. Lightning Talks 10:00 a.m. Coffee break 10:30 a.m. Keynote 2: Brainwave (Microsoft Research) 11:30 p.m. Lightning talks 12:00 p.m. Invited talk 12:30 p.m. Adjorn ========================================================================== Organizing Committee: Workshop Organizers: Michaela Blott, Xilinx Franck Cappello, Argonne National Lab Torsten Hoefler, ETH Zurich Jason D. Bakos, University of South Carolina Program Committee: Rizwan Ashraf, Oak Ridge National Laboratory Paul Chow, University of Toronto Hans Eberle, NVIDIA Alan George, University of Florida Christoph Hagleitner, IBM Miriam Leeser, Northeastern University Viktor Prasanna, Univ. of Southern California Marco Santambrogio, Politecnico Di Milano Jeffrey Vetter, Oak Ridge National Lab -- Jason D. Bakos, Ph.D. Professor Dept. of Computer Science and Engineering Univ. of South Carolina 301 Main St., Suite 3A01L Columbia, SC 29208 803-777-8627 (voice), 803-777-3767 (fax) http://www.cse.sc.edu/~jbakos jbakos(a)cse.sc.edu

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Call For Papers [Extended Deadline]: ESPM2@SC17 - Third International Workshop on Extreme Scale Programming Models and Middleware
by Hari Subramoni 01 Sep '17

01 Sep '17

======================================================================== Call For Papers Third International IEEE Workshop on Extreme Scale Programming Models and Middleware (ESPM2 2017) November 12, 2017, Denver, Colorado to be held in conjunction with SuperComputing 2017, November 12 - 16, 2017 Denver, Colorado http://nowlab.cse.ohio-state.edu/espm2/ ======================================================================== Based on requests from authors, we have extended the technical paper submission deadline for ESPM2'17 to 09/11/17. A complete and updated "Call for Papers" follows. Next generation architectures and systems being deployed are characterized by high concurrency, low memory per-core, and multiple levels of hierarchy and heterogeneity. These characteristics bring out new challenges in energy efficiency, fault-tolerance and, scalability. It is commonly believed that software has the biggest share of the responsibility to tackle these challenges. In other words, this responsibility is delegated to the next generation programming models and their associated middleware/runtimes. This workshop focuses on different aspects of programming models such as task-based parallelism (Charm++, OCR, Habanero, Legion, X10, HPX, etc), PGAS (OpenSHMEM, UPC, CAF, Chapel, UPC++, etc.), BigData (Hadoop, Spark, etc), Deep Learning (Caffe, Microsoft CNTK, Google TensorFlow), directive-based languages (OpenMP, OpenACC) and Hybrid MPI+X, etc. It also focuses on their associated middleware (unified runtimes, interoperability for hybrid programming, tight integration of MPI+X, and support for accelerators) for next generation systems and architectures. The ultimate objective of the ESPM2 workshop is to serve as a forum that brings together researchers from academia and industry working in the areas of programming models, runtime systems, compilers, programming languages, and application developers. ESPM2 2017 will be held as a full day workshop in conjunction with the SuperComputing (SC 2017), Denver, Colorado, USA, Sunday, November 12th, 2017. Topics ------ ESPM2 2017 welcomes original submissions in a range of areas, including but not limited to: * New programming models, languages and constructs for exploiting high concurrency and heterogeneity * Experience with and improvements for existing parallel languages and run-time environments such as: - MPI - PGAS (OpenSHMEM, UPC, CAF, Chapel, UPC++, etc.) - Directive-based programming (OpenMP, OpenACC) - Asynchronous Task-based models (Charm++, OCR, Habanero, Legion, X10, HPX, etc) - Hybrid MPI+X models - BigData (Hadoop, Spark, etc), and - Deep Learning (Caffe, Microsoft CNTK, Google TensorFlow) * Parallel compilers, programming tools, and environments * Software and system support for extreme scalability including fault tolerance * Programming environments for heterogeneous multi-core systems and accelerators such as KNL, OpenPOWER, ARM, GPUs, FPGAs, MICs, and DSPs Papers should present original research and should provide sufficient background material to make them accessible to the broader community. Best Paper Award ---------------- Intel has generously offered to sponsor the Best Paper Award. This award will be given to the author(s) of the paper selected by the Technical Program Committee and the Program Chairs. The award will be determined from viewpoints of the technical and scientific merits, impact on the science and engineering of the research work and the clarity of presentation of the research contents in the paper. Keynote Speakers ---------------- We are happy to announce that Prof. William D. Gropp, Interim Director and Chief Scientist at the National Center for Supercomputing Applications and the Thomas M. Siebel Chair in Computer Science at the University of Illinois Urbana-Champaign will deliver the keynote address at ESPM2'17. Panel Information ----------------- Panel Topic : Effective Programming Models for Deep Learning at Scale Panel Moderator : Daniel Holmes, EPCC, The University of Edinburgh, UK. Panel Members : Coming soon! Paper Submission and Registration --------------------------------- Abstracts and papers need to be submitted via the EasyChair conference system. EasyChair URL for ESPM2'17: https://easychair.org/conferences/?conf=espm22017 Submissions should not exceed 8 pages using ACM format with 10pt font. Each submission must be a single PDF file. Papers must be submitted in PDF format (readable by Adobe Acrobat Reader 5.0 and higher) and formatted for 8.5" x 11" (U.S. Letter). The manuscript should be formatted according to ACM format (see http://www.acm.org/sigs/publications/proceedings-templates) Papers should present original research and should provide sufficient background material to make them accessible to the broader community. It should not be submitted in parallel to any other conference or journal. At least one of the authors of each accepted paper must register as a participant of the workshop and present the paper at the workshop, in order to have the paper published in the proceedings. Each research paper will be taken through a comprehensive peer review process by an internationally recognized group of experts in the field. Papers will be evaluated along the metrics of a) Quality of Presentation; b) Novelty / Originality; c) Relation to State of the Art; d) Technical Strength; e) Significance of Work; and f) Relevance to Workshop. Every effort will be made to ensure that each paper receives multiple reviews. Please contact the Program Chairs for any questions/clarifications Proceedings Information ----------------------- ACM SigHPC will publish the workshop proceedings which will be available through the ACM Digital Library. The camera-ready versions need to be submitted via the EasyChair conference management system. The link to the submission site will be provided soon. Please contact the Program Chairs for any questions/clarifications. Important Dates --------------- Technical paper submission deadline : 11:59 PM, AoE, September 11, 2017 Author notification : October 7, 2017 Camera-ready deadline : 11:59 PM, AoE, October 13, 2017 Workshop : Sunday, November 12, 2017 ESPM2'17 Workshop Organizers ---------------------------- Hari Subramoni, The Ohio State University Karl Schulz, Intel Corporation Dhabaleswar K. (DK) Panda, The Ohio State University Program Committee ----------------- * Guang R. Gao, University of Delaware * Vladimir Getov, University of Westminster, UK * Jeff Hammond, Intel Labs * Michael A. Heroux, Sandia National Laboratories * Costin Iancu, Lawrence Berkeley National Laboratory * Darren Kerbyson, Pacific Northwest National Laboratory * Guangming Tan, Institute of Computing Technology, Chinese Academy of Sciences, China * Olivier Tardieu, IBM T.J. Watson Research Center * Daniel Tian, The Portland Group * Sean Treichler, NVIDIA Corporation * Abhinav Vishnu, Pacific Northwest National Laboratory Further Information ------------------- See the ESPM2'17 website at http://nowlab.cse.ohio-state.edu/espm2/ Thanks, The ESPM2'17 Organizing Committee.

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JSC Special Issue on Dynamic Geometry and Automated Reasoning - Deadline Extension
by Francisco Botana 31 Aug '17

31 Aug '17

Please help us disseminating this announcement. Sorry for duplicates. ===================== DEADLINE EXTENSION: Due to the concurrence, in this coming month of September 2017, of several call for papers for different journals and conference proceedings, on topics related to automated reasoning, symbolic computation and dynamic geometry, we have considered extending substantially the deadline for our JSC Special Issue on Dynamic Geometry and Automated Reasoning. Please notice the new submission deadline of February 2018! Further details follow: *** CALL FOR PAPERS *** Journal of Symbolic Computation* https://www.journals. elsevier.com/journal-of-symbolic-computation <http://elsevier.com/journal-of-symbolic-computation> Call for contributions to the Special Issue on Dynamic Geometry and Automated Reasoning https://sites.google.com/site/kovzol/jsc-si-dg-ar GUEST EDITORS: Francisco Botana, University of Vigo, Spain Zoltán Kovács, The Private University College of Education of the Diocese of Linz, Austria Tomas Recio, University of Cantabria, Spain IMPORTANT DATES (EXTENDED) * submission deadline: February 1, 2018 * notification of acceptance / rejection: July 1, 2018 * final versions: September 15, 2018 SCOPE: Since the last half century, automated deduction in elementary geometry has become one of the most successful achievements in the field of automated reasoning. Along these decades various methods and techniques have been studied and developed for automated proving and discovering of elementary geometry statements. On the other hand, dynamic geometry software systems have emerged, such as Cabri Geometry, C.a.R., Cinderella, DrGeo, GeoGebra, The Geometer's Sketchpad, Geometry Expert, Geometry Expressions or Kig with an ever-increasing presence in mathematics education. Some of them possess a large number of users (over thirty million) all around the world. The merging of these two tools (automatic proving and dynamic geometry) is, thus, a very natural, challenging and promising issue, currently involving logic, symbolic computation, software development, algebraic geometry and mathematics education experts all from over the world. The Special Issue intends to be an opportunity for - presenting the current state of the art concerning the development of automatic proving features on dynamic geometry systems, - discussing the current and potential applications of such features in different contexts, such as CAGD or mathematics education. TOPICS (not restricted to): - Algorithmic aspects: formal, logic and algebraic geometry approaches, constraint solving, invariant and coordinate-free methods, real and complex geometry issues, probabilistic, synthetic approaches, techniques from discrete mathematics, combinatorics, and numerics. - Software aspects: Implementation of automated proving methods in dynamic geometry programs, design of packages and systems, data representation. Parallel and distributed computing, considerations for modern hardware and new devices. User-interface issues, use with systems for digital libraries, courseware, ... - Application aspects: applications to mechanics, geometric modeling, CAGD/CAD, computer vision, robotics and education. Papers must not duplicate work already published or submitted for publication elsewhere. All the papers will be refereed according to the JSC standards. Papers should follow the guidelines for JSC submissions (see https://www.elsevier.com/journals/journal-of-symbolic-computation/0747-7171…), and should be submitted through Easychair (https://easychair.org/conferences/?conf=jscdgarsi2018). The introduction of the paper must explicitly address the following questions in succinct and informal manner: - What is the problem? - Why is the problem important? - What has been done so far on the problem? - What is the main contribution of the paper on the problem? - Why is the contribution original? (see below for clarification) - Why is the contribution non-trivial? Make the paper complete (since there is no page limit): - All the related works and issues must be completely and carefully discussed. - All the previous relevant JSC papers must be properly cited and discussed. - All the theorems must be rigorously proved (no sketch allowed). - All the important definitions/theorems/algorithms must be illustrated by well-chosen examples. * An international journal, the Journal of Symbolic Computation, founded by Bruno Buchberger in 1985, is directed to mathematicians and computer scientists who have a particular interest in symbolic computation. Automated theorem proving is one of the research areas of interest highlighted in the Journal’s description. The Journal of Symbolic Computation has a 1.274 Impact Factor, according to the last Thompson Reuters Journal Citation Reports (Clarivate Analytics, 2017).

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Deadline extension: CFP Journal Symbolic Computation Special Issue on Dynamic Geometry and Automated Reasoning
by Prof. Tomas Recio 30 Aug '17

30 Aug '17

Please help us disseminating this announcement. Sorry for duplicates. ===================== DEADLINE EXTENSION: Due to the concurrence, in this coming month of September 2017, of several call for papers for different journals and conference proceedings, on topics related to automated reasoning, symbolic computation and dynamic geometry, we have considered extending substantially the deadline for our JSC Special Issue on Dynamic Geometry and Automated Reasoning. Please notice the new submission deadline of February 2018! Further details follow: *** CALL FOR PAPERS *** Journal of Symbolic Computation* https://www.journals <https://www.journals/>. elsevier.com/journal-of-symbolic-computation <http://elsevier.com/journal-of-symbolic-computation> Call for contributions to the Special Issue on Dynamic Geometry and Automated Reasoning https://sites.google.com/site/kovzol/jsc-si-dg-ar <https://sites.google.com/site/kovzol/jsc-si-dg-ar> GUEST EDITORS: Francisco Botana, University of Vigo, Spain Zoltán Kovács, The Private University College of Education of the Diocese of Linz, Austria Tomas Recio, University of Cantabria, Spain IMPORTANT DATES (EXTENDED) submission deadline: February 1, 2018 notification of acceptance / rejection: July 1, 2018 final versions: September 15, 2018 SCOPE: Since the last half century, automated deduction in elementary geometry has become one of the most successful achievements in the field of automated reasoning. Along these decades various methods and techniques have been studied and developed for automated proving and discovering of elementary geometry statements. On the other hand, dynamic geometry software systems have emerged, such as Cabri Geometry, C.a.R., Cinderella, DrGeo, GeoGebra, The Geometer's Sketchpad, Geometry Expert, Geometry Expressions or Kig with an ever-increasing presence in mathematics education. Some of them possess a large number of users (over thirty million) all around the world. The merging of these two tools (automatic proving and dynamic geometry) is, thus, a very natural, challenging and promising issue, currently involving logic, symbolic computation, software development, algebraic geometry and mathematics education experts all from over the world. The Special Issue intends to be an opportunity for - presenting the current state of the art concerning the development of automatic proving features on dynamic geometry systems, - discussing the current and potential applications of such features in different contexts, such as CAGD or mathematics education. TOPICS (not restricted to): - Algorithmic aspects: formal, logic and algebraic geometry approaches, constraint solving, invariant and coordinate-free methods, real and complex geometry issues, probabilistic, synthetic approaches, techniques from discrete mathematics, combinatorics, and numerics. - Software aspects: Implementation of automated proving methods in dynamic geometry programs, design of packages and systems, data representation. Parallel and distributed computing, considerations for modern hardware and new devices. User-interface issues, use with systems for digital libraries, courseware, ... - Application aspects: applications to mechanics, geometric modeling, CAGD/CAD, computer vision, robotics and education. Papers must not duplicate work already published or submitted for publication elsewhere. All the papers will be refereed according to the JSC standards. Papers should follow the guidelines for JSC submissions (see https://www.elsevier.com/journals/journal-of-symbolic-computation/0747-7171… <https://www.elsevier.com/journals/journal-of-symbolic-computation/0747-7171…>), and should be submitted through Easychair (https://easychair.org/conferences/?conf=jscdgarsi2018 <https://easychair.org/conferences/?conf=jscdgarsi2018>). The introduction of the paper must explicitly address the following questions in succinct and informal manner: - What is the problem? - Why is the problem important? - What has been done so far on the problem? - What is the main contribution of the paper on the problem? - Why is the contribution original? (see below for clarification) - Why is the contribution non-trivial? Make the paper complete (since there is no page limit): - All the related works and issues must be completely and carefully discussed. - All the previous relevant JSC papers must be properly cited and discussed. - All the theorems must be rigorously proved (no sketch allowed). - All the important definitions/theorems/algorithms must be illustrated by well-chosen examples. * An international journal, the Journal of Symbolic Computation, founded by Bruno Buchberger in 1985, is directed to mathematicians and computer scientists who have a particular interest in symbolic computation. Automated theorem proving is one of the research areas of interest highlighted in the Journal’s description. The Journal of Symbolic Computation has a 1.274 Impact Factor, according to the last Thompson Reuters Journal Citation Reports (Clarivate Analytics, 2017).

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ESORICS 2017: Call for Participation
by Cristina Alcaraz 29 Aug '17

29 Aug '17

============================================================================== ESORICS 2017: CALL FOR PARTICIPATION 22nd European Symposium on Research in Computer Security Oslo, Norway — September 11-15, 2017 ============================================================================== WWW: https://www.ntnu.edu/web/esorics2017/ Overview ------------------------------------ ESORICS is the annual European research event in Computer Security. The Symposium started in 1990 and has been held in several European countries, attracting a wide international audience from both the academic and industrial communities. The 22nd European Symposium on Research in Computer Security (ESORICS 2017) will be held in Oslo, Norway. ESORICS 2017 spans a total of 3 days, featuring: * 3 keynote speeches (Cormac Herley, Paul Syverson, Sandro Etalle) * 54 paper presentations in 3 days (Sep 11-13) * 8 workshops (Sept 14 - 15) Presentations Program ------------------------------------ The 54 papers of ESORICS 2017 are distributed between **18 sessions** in **two parallel tracks**. Following is the list of paper presentations for the main ESORICS conference. For the workshop programs, please consult their corresponding websites: * SECPRE 2017: https://samosweb.aegean.gr/secpre2017/ * SecSE 2017: http://secse.org * CBT 2017: http://www.deic.uab.cat/~jherrera/CBT/ * DPM 2017: http://deic.uab.cat/conferences/dpm/dpm2017/ * STM 2017: http://stm2017.di.unimi.it * QASA 2017: http://www.iit.cnr.it/qasa2017/ * CyberICPS: http://www.ds.unipi.gr/cybericps2017/ * SIoT 2017: http://siot-workshop.org ### September 11 - Day 1 ########### 09:30 - 10:30 * Keynote: Cormac Herley - Justifying Security Measures - a Position Paper 11:00 - 12:30 * Session 1: Security of embedded things - Shortfall-based Optimal Placement of Security Resources for Mobile IoT Scenarios Antonino Rullo, Edoardo Serra, Elisa Bertino and Jorge Lobo - Analyzing the Capabilities of the CAN Attacker Sibylle Froeschle and Alexander Stühring - Boot Attestation: Secure Remote Reporting with Off-The-Shelf IoT Sensors Steffen Schulz, André Schaller, Florian Kohnhäuser, and Stefan Katzenbeisser * Session 2: Cryptographic Application I - Per-Session Security: Password-Based Cryptography Revisited Gregory Demay, Peter Gazi, Ueli Maurer and Björn Tackmann - Non-Interactive Provably Secure Attestations for Arbitrary RSA Prime Generation Algorithm Fabrice Benhamouda, Houda Ferradi, Rémi Géraud and David Naccache - Tightly Secure Ring-LWE Based Key Encapsulation with Short Ciphertexts Martin Albrecht, Emmanuela Orsini, Kenneth Paterson, Guy Peer and Nigel Smart 14:00 - 15:30 * Session 3: Documents and Authorship - Identifying Multiple Authors in a Binary Program Xiaozhu Meng, Barton Miller and Kwang-Sung Jun - Verifiable Document Redacting Herve Chabanne, Rodolphe Hugel and Julien Keuffer - Source Code Authorship Attribution using Long Short-Term Memory Based Networks Bander Alsulami, Edwin Dauber, Richard Harang, Spiros Mancoridis and Rachel Greenstadt * Session 4: Analysis of Security Protocols - Automated analysis of equivalence properties for security protocols using else branches Ivan Gazeau and Steve Kremer and Levente Buttyán - Secure Authentication in the Grid: A formal analysis of DNP3: SAv5 Cas Cremers, Martin Dehnel-Wild and Kevin Milner - Modular Verification of Protocol Equivalence in the Presence of Randomness Matthew Bauer, Rohit Chadha and Mahesh Viswanathan 16:00 - 17:30 * Session 5: Threat Analysis - Preventing Advanced Persistent Threats in Complex Control Networks Juan E. Rubio, Cristina Alcaraz and Javier Lopez - MTD CBITS: Moving Target Defense for Cloud-Based IT Systems Alexandru G. Bardas, Sathya C. Sundaramurthy, Xinming Ou and Scott A. Deloach - Is my attack tree correct? Maxime Audinot, Sophie Pinchinat and Barbara Kordy * Session 6: Side Channels and data leakage - On-Demand Time Blurring to Support Side-Channel Defense Weijie Liu, Debin Gao and Mike Reiter - Acoustic Data Exfiltration from Speakerless Air-Gapped Computers via Covert Hard-Drive Noise Mordechai Guri, Yosef Solewicz, Andrey Daidakulov and Yuval Elovici - Practical Keystroke Timing Attacks in Sandboxed JavaScript Moritz Lipp, Daniel Gruss, Michael Schwarz, David Bidner, Clémentine Maurice and Stefan Mangard ### September 12 - Day 2 ########### 09:00 - 10:00 * Keynote: Paul Syverson - The Once and Future Onion 10:30 - 12:00 * Session 7: Vulnerabilities and Malware - Mirage: Toward a Stealthier and Modular Malware Analysis Sandbox for Android Lorenzo Bordoni, Mauro Conti and Riccardo Spolaor - VuRLE: Automatic Vulnerability Detection and Repair by Learning from Examples Siqi Ma, Ferdian Thung, David Lo, Cong Sun and Robert Deng - Adversarial Examples for Malware Detection Kathrin Grosse, Nicolas Papernot, Praveen Manoharan, Backes Michael and Patrick McDaniel Russo * Session 8: Privacy in Systems - PerfWeb: How to Violate Web Privacy with Hardware Performance Events Berk Gulmezoglu, Andreas Zankl, Thomas Eisenbarth and Berk Sunar - SePCAR: A Secure and Privacy-enhancing Protocol for Car Access Provision Iraklis Symeonidis, Abdelrahaman Aly, Mustafa Asan Mustafa, Bart Mennink, Siemen Dhooghe and Bart Preneel - Privacy Implications of Room Climate Data Philipp Morgner, Christian Müller, Matthias Ring, Björn Eskofier, Christian Riess, Frederik Armknecht and Zinaida Benenson 13:30 - 15:00 * Session 9: Network security - Link-Layer Device Type Classification on Encrypted Wireless Traffic with COTS Radios Rajib Ranjan Maiti, Sandra Siby, Ragav Sridharan and Nils Ole Tippenhauer - Preventing DNS amplification attacks using the history of DNS queries with SDN Soyoung Kim, Sora Lee, Geumhwan Cho, Muhammad Ejaz Ahmed, Jaehoon Paul Jeong and Hyoungshick Kim - Zero Round-Trip Time for the Extended Access Control Protocol Jacqueline Brendel and Marc Fischlin * Session 10: Controlling Access - No sugar but all the taste! Memory Encryption without Architectural Support Panagiotis Papadopoulos, George Christou, Giorgos Vasiliadis, Evangelos Markatos and Sotiris Ioannidis - Tree-based Cryptographic Access Control James Alderman, Naomi Farley and Jason Crampton - Securing Data Analytics on SGX With Randomization Swarup Chandra, Vishal Karande, Zhiqiang Lin, Latifur Khan, Murat Kantarcioglu and Bhavani Thuraisingham 15:30 - 17:00 * Session 11: Information Flow - We are Family: Relating Information-Flow Trackers Musard Balliu, Daniel Schoepe and Andrei Sabelfeld - A Better Composition Operator for Quantitative Information Flow Analyses Kai Engelhardt - WebPol: Fine-grained Information Flow Policies for Web Browsers Abhishek Bichhawat, Vineet Rajani, Jinank Jain, Deepak Garg and Christian Hammer * Session 12: Blockchain and social networks - A Traceability Analysis of Monero’s Blockchain Amrit Kumar, Clément Fischer, Shruti Tople and Prateek Saxena -RingCT 2.0: A Compact Linkable Ring Signature Based Protocol for Blockchain Cryptocurrency Monero Shi-Feng Sun, Man Ho Au, Joseph Liu and Tsz Hon Yuen - Secure Computation in Online Social Networks Foteini Baldimtsi, Dimitrios Papadopoulos, Stavros Papadopoulos, Alessandra Scafuro and Nikos Triandopoulos ### September 13 - Day 3 ########### 09:00 - 10:00 * Keynote: Sandro Etalle - From Intrusion Detection to Software Design 10:30 - 12:30 * Session 13: Web Security - DeltaPhish: Detecting Phishing Webpages in Compromised Websites Igino Corona, Battista Biggio, Matteo Contini, Luca Piras, Roberto Corda, Mauro Mereu, Guido Mureddu, Davide Ariu and Fabio Roli - DOMPurify: Client-Side Protection against XSS and Markup Injection Mario Heiderich, Christopher Späth, and Jörg Schwenk - Quantifying Web Adblocker Privacy Arthur Gervais, Alexandros Filios, Vincent Lenders and Srdjan Capkun * Session 14: Cryptographic signatures - Reusing Nonces in Schnorr Signatures Marc Beunardeau, Aisling Connolly, Remi Geraud, David Naccache and Damien Vergnaud - How to Circumvent the Structure-Preserving Signatures Lower Bounds MEssam Ghadafi - Server-Supported RSA Signatures for Mobile Devices Ahto Buldas, Aivo Kalu, Peeter Laud and Mart Oruaas 13:30 - 15:00 * Session 15: Formal techniques - Inference-Proof Updating of a Weakened View under the Modification of Input Parameters Joachim Biskup and Marcel Preuß - Verifying Constant-Time Implementations by Abstract Interpretation Sandrine Blazy, David Pichardie and Alix Trieu - AVR Processors as a Platform for Language-Based Security Florian Dewald, Heiko Mantel and Alexandra Weber * Session 16: Privacy and garbled circuits - Labeled Homomorphic Encryption: Scalable and Privacy-Preserving Processing of Outsourced Data Manuel Barbosa, Dario Catalano and Dario Fiore - New Way for Privacy-Preserving Decision Tree Evaluation Raymond K. H. Tai, Jack P. K. Ma, Yongjun Zhao and Sherman S. M. Chow - Enforcing Input Correctness via Certification in Garbled Circuit Evaluation Yihua Zhang, Marina Blanton and Fattaneh Bayatbabolghani 15:30 - 17:00 * Session 17: Intrusion Detection - Secure IDS Offloading with Nested Virtualization and Deep VM Introspection Shohei Miyama and Kenichi Kourai - Network Intrusion Detection based on Semi-Supervised Variational Auto-Encoder Genki Osada, Kazumasa Omote and Takashi Nishide - LeaPS: Learning-Based Proactive Security Auditing for Clouds Suryadipta Majumdar, Yosr Jarraya, Momen Oqaily, Amir Alimohammadifar, Makan Pourzandi, Lingyu Wang and Mourad Debbabi * Session 18: Cryptographic Applications II - Multiple Rate Threshold FlipThem David Leslie, Chris Sherfield and Nigel Smart - Stringer: Measuring the Importance of Static Data Comparisons to Detect Backdoors and Undocumented Functionality Sam L. Thomas, Tom Chothia and Flavio D. Garcia - Generic Constructions for Fully Secure Revocable Attribute-Based Encryption Kotoko Yamada, Nuttapong Attrapadung, Keita Emura, Goichiro Hanaoka and Keisuke Tanaka

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Cyber Security PhD Scholarship – The University of Newcastle with the Defense Science and Technology (DST) Group
by Vijay Varadharajan 29 Aug '17

29 Aug '17

Cyber Security PhD Scholarship – The University of Newcastle with the Defense Science and Technology (DST) Group Supervisors: Prof. Vijay Varadharajan, The University of Newcastle and Dr. Anton V. Uzunov, DST Group Topic Area: Advanced Authorization Infrastructures for Distributed Autonomic Systems Autonomic computing – or equivalently, self-adaptive computing – is concerned with supporting dynamic system evolution in response to changing internal or external circumstances, by endowing systems with automated self-management capabilities, thereby turning ordinary software systems into autonomic systems (or equivalently, self-adaptive or self-managing systems). One of the core properties whose enforcement leads to supporting such self-management capabilities is self-protection, which can be defined as a system’s ability to anticipate, to prevent, to detect and guard itself against cyber security threats. A significant problem with self-protection is how to constrain and control system actions, which involves aspects such as specification of privileges to perform actions, propagation of privileges in a distributed environment and their enforcement in heterogeneous systems and devices, ranging from cloud servers to mobile Internet of Things. The project is expected to investigate cryptographically enforced access control models and distributed capability-based models. The research will consider how access classes and capabilities with different privileges can be specified, keys and capabilities can be securely propagated in distributed, heterogeneous environments, how access to services and to devices/nodes should be enforced in a decentralized context, and what adaptation mechanisms should be applied in response to changing system/operational conditions. The project will involve the design of security architecture, development of new algorithms as well as the development of proof-of-concept implementations or case studies to validate the developed models and techniques in simulated or real-life scenarios. It is envisioned that the outcomes and outputs of the project will be specifically applicable to both IoT and autonomous cyber defense scenarios, and all case studies and/or application examples will be drawn from these areas. Scholarship Duration: 3 and 1/2 years Eligibility * Australian Citizenship required. * Must be Motivated and Committed to Doing Research * Knowledge of Cryptography and Security Techniques will be helpful. Contact: vijay.varadharajan(a)newcastle.edu.au<mailto:vijay.varadharajan@newcastle.edu.au> or Anton.Uzunov(a)dst.defence.gov.au<mailto:Anton.Uzunov@dst.defence.gov.au>

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Research Fellow Position in Software Defined Networks Security at Advanced Cyber Security Engineering Research Centre, The University of Newcastle
by Vijay Varadharajan 29 Aug '17

29 Aug '17

Research Fellow Position in Software Defined Networks Security at the Advanced Cyber Security Engineering Research Centre, The University of Newcastle A post doc Research Fellow position on Software Defined Networks (SDN) Security is available at the Advanced Cyber Security Engineering Research Centre. This position is funded by the Defence Science and Technology Group and it involves research and development in SDN Security. The Research Fellow is expected to work in the design and implementation of security architectures for SDN network services. Work will involve the design and implementation of security policies across distributed SDN domains under different management authorities. The Research Fellow is expected to work in the development of a Policy based Security Application at the SDN Controller and in the specification and management of security policies for provision of services across multiple autonomous domains. Programming and implementation experience is required as well as the ability to design network systems. In particular, experience python and java programming would be required. Background and expertise in security, especially systems and network security is highly desirable. Experience in writing good quality research papers is also necessary. The position is available immediately. Please send your expression of interest describing why you would be suitable for this position and attach your CV as well as your research and implementation experience in network systems and security. Start Date: The starting date of the position is immediate. Duration: Initially the Fellowship is for 1 year. There is potential for the Fellowship to be extended further subject to funding. Salary will be at the academic pay scale Level A Step 6. Contact Details: For further information, please contact Professor Vijay Varadharajan, Global Innovation Chair Professor in Cyber Security, vijay.varadharajan(a)newcastle.edu.au<mailto:vijay.varadharajan@newcastle.edu.au>, Tel: +61 2 4921 8687

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Call For Papers: The 1st International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention
by Andrii Shalaginov 28 Aug '17

28 Aug '17

Dear Colleague, (Apologies for multiple postings) We would like to invite you to submit your contributions to the 1st International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention. It is co-located with IEEE International Conference on Big Data 2017 that will take place in Boston, USA, December 11-14, 2017. Workshop webpage: https://www.ntnu.edu/iik/digital_forensics/ieeebigdata2017 *** IMPORTANT DATES *** Sept 10, 2017: Due date for full workshop papers submission Oct 15, 2017: Notification of paper acceptance to authors Nov 15, 2017: Camera-ready for accepted papers Dec 11-14, 2017: Workshop *** INTRODUCTION *** The big data paradigm has become inevitable in every aspect of the digital forensics process. Increase in personal devices (such as computers, smart phones, tablets, sensors and storage mediums) results in an expanding volume of potential evidence found in them. The increase in data is one of the largest challenges facing law enforcements’ timely prosecutions; with the effect, that human analysts can no longer be the lone actor in the loop. There is a need to create innovative and advanced models and analysis methods to help human analysts within law enforcements in order to automatically aid with the discovery, correlation, examination, analysis and understanding of evidence in criminal cases. Advanced big data analytics are important for cybercrime investigation and require novel approaches for automation. *** PROPOSED TOPICS *** Note that the topics are not limited to this proposed list. 1. Algorithms - Machine learning-aided analysis - Graph-based detection - Topic modeling - Secure platforms - Distributed storage and processing - Secure collaborative platforms 2. Applications - Network forensics readiness - Cyber threats intelligence - Malware analysis and detection - Emails mining - Events correlations - Access logs analysis - Mobile and Internet of Things forensics - Fraud detection - Database forensics 3. Data - Novel datasets - Digital forensics data simulation - Anonymised case data - Data storage standards - New formats and taxonomies *** PROGRAM CO-CHAIRS *** Andrii Shalaginov, Norwegian University of Science and Technology Katrin Franke, Norwegian University of Science and Technology Jan William Johnsen, Norwegian University of Science and Technology *** PROGRAM COMMITTEE *** Asif Iqbal (KTH Royal Institute of Technology) Bojan Kolosnjaji (Technical University of Munich) Carl Leichter (Norwegian University of Science and Technology) Dmitry Kangin (University of Exeter) Emiliano Casalicchio (Blekinge Institute of Technology) Ethan Rudd (University of Colorado Colorado Springs) Hamid Ebadi (Chalmers University of Technology) Hanno Langweg (Konstanz University of Applied Sciences) Heri Ramampiaro (Norwegian University of Science and Technology) Martin Boldt (Blekinge Institute of Technology) Michael McGuire (Towson University) Olaf M. Maennel (Tallinn University of Technology) Pavel Gladyshev (Dublin School of Computer Science) Pierre Lison (Norwegian Computing Centre) *** PAPER SUBMISSION *** Our workshop invites authors to submit: full-length papers (up to ten pages), short papers (up to six pages) or abstract papers (up to three pages) through the online submission system: https://wi-lab.com/cyberchair/2017/bigdata17/scripts/submitform.php?subarea… Papers have to follow the IEEE 2-column format and the Computer Society Proceedings Manuscript Formatting Guidelines. See formatting instructions here: https://www.ntnu.edu/iik/digital_forensics/ieee-bigdata-2017-formatting-ins… *** BEST PAPERS *** Selected papers are nominated for submission to “Special Issue on Cyber Threat Intelligence and Analytics”. Extended papers should have at least 60% of new material and will be sent through a review process to ensure the quality of contributions. *** CONTACTS*** If you have any questions, do not hesitate to contact Andrii Shalaginov (andrii.shalaginov(a)ntnu.no) and Jan William Johnsen (jan.w.johnsen(a)ntnu.no). Best regards, Andrii Shalaginov, on behalf of Katrin Franke and Jan William Johnsen Norwegian University of Science and Technology, Gjøvik, Norway

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CFP: 3rd Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC 2017) at SC17: Extended abstracts due Sept. 1
by Jason D. Bakos 25 Aug '17

25 Aug '17

========================================================================== ** Call for Papers ** ========================================================================== Third International Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC 2017) Held in conjunction with Supercomputing 2017 Friday Morning, November 17, 2017 Denver, CO http://h2rc.cse.sc.edu ========================================================================== Submission Deadline: September 1, 2017 (one page extended abstracts) ========================================================================== As conventional von-Neumann architectures are suffering from rising power densities, we are facing an era with power, energy efficiency, and cooling as first-class constraints for scalable HPC. FPGAs can tailor the hardware to the application, avoiding overheads and achieving higher hardware efficiency than general-purpose architectures. Leading FPGA manufacturers have recently made a concerted effort to provide a range of higher-level, easier to use high-level programming models for FPGAs. Such initiatives are already stimulating new interest within the HPC community around the potential advantages of FPGAs over other architectures. With this in mind, this workshop, now in its third year, brings together HPC and heterogeneous-computing researchers to demonstrate and share experiences on legacy and new high-level programming models, optimizations specific to scientific computing and data analytics, tools for performance/energy improvements, FPGA computing in the cloud, and popular applications for reconfigurable computing such as machine learning and big data. ========================================================================== Submissions (one page extended abstract): Submissions are solicited that explore the state of the art in the use of FPGAs in heterogeneous high-performance computing architectures and, at a system level, in data centers and supercomputers. FPGAs may be considered from either or both the distributed, parallel and composable fabric of compute elements or from their dynamic reconfigurability. We particularly encourage submissions which focus on the mapping of algorithms and applications to heterogeneous FPGA-based systems as well as the overall impact of such architectures on the compute capacity, cost, power efficiency, and overall computational capabilities of data centers and supercomputers. Submissions may report on theoretical or applied research, implementation case studies, benchmarks, standards, or any other area that promises to make a significant contribution to our understanding of heterogeneous high-performance reconfigurable computing and will help to shape future research and implementations in this domain. A non-comprehensive list of potential topics of interest is given below: 1. FPGAs in Supercomputer, Cloud and Data Center: FPGAs in relation to challenges to Cloud/Data Center/Supercomputing posed by the end of Dennard scaling 2. Supercomputing, Cloud and Data Center Applications: Exploiting FPGA compute fabric to implement critical cloud/HPC applications 3. Leveraging Reconfigurability: Using reconfigurability for new approaches to algorithms used in cloud/HPC applications 4. Benchmarks: Compute performance and/or power and cost efficiency for cloud/HPC with heterogeneous architectures using FPGAs 5. Implementation Studies: Heterogenous Hardware and Management Infrastructure 6. Programming Languages/Runtimes/OS/Tools/Frameworks for Heterogeneous High Performance Reconfigurable Computing 7. Future-gazing: New Applications/The Cloud Enabled by Heterogeneous High Performance Reconfigurable Computing, Evolution of Computer Architecture in relation to Heterogeneous High Performance Reconfigurable Computing 8. Community building: Standards, consortium activity, open source, education, initiatives to enable and grow Heterogeneous High Performance Reconfigurable Computing Prospective authors are invited to submit original and unpublished contributions as a ONE PAGE EXTENDED ABSTRACT in ACM SIG Proceedings format. ========================================================================== You can submit your contribution(s) through a link on the H2RC website: http://h2rc.cse.sc.edu ========================================================================== Important dates: Submission Deadline: September 1, 2017 Acceptance Notification: October 15, 2017 Camera-ready Manuscripts Due: November 4, 2017 Workshop Date: November 17, 2017 ========================================================================== Workshop Format: H2RC is a half-day Friday workshop. It will be comprised of Keynote and invited talks and talks selected from paper submissions. ========================================================================== Organizing Committee: Workshop Organizers: Michaela Blott, Xilinx Franck Cappello, Argonne National Lab Torsten Hoefler, ETH Zurich Jason D. Bakos, University of South Carolina Program Committee: Rizwan Ashraf, Oak Ridge National Laboratory Paul Chow, University of Toronto Carl Ebeling, Altera Hans Eberle, NVIDIA Alan George, University of Florida Christoph Hagleitner, IBM Miriam Leeser, Northeastern University Viktor Prasanna, Univ. of Southern California Marco Santambrogio, Politecnico Di Milano Jeffrey Vetter, Oak Ridge National Lab -- Jason D. Bakos, Ph.D. Professor Dept. of Computer Science and Engineering Univ. of South Carolina 301 Main St., Suite 3A01L Columbia, SC 29208 803-777-8627 (voice), 803-777-3767 (fax) http://www.cse.sc.edu/~jbakos jbakos(a)cse.sc.edu

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[CFP] IA^3 2017 - Deadline Extended!
by Tumeo, Antonino 23 Aug '17

23 Aug '17

[Apologies if you receive multiple copies of this CFP] NEWS: DEADLINE EXTENDED TO SEPTEMBER 7! IA^3 2017 Seventh Workshop on Irregular Applications: Architectures and Algorithms http://hpc.pnl.gov/IA3/ November 13, 2017 In conjunction with SC17 In collaboration with ACM SIGHPC Sponsored by IEEE TCHPC Call for Papers Irregular applications occur in many subject matters. While inherently parallel, they exhibit highly variable execution performance at a local level due to unpredictable memory access patterns and/or network transfers, divergent control structures, and data imbalances. Moreover, they often require fine-grain synchronization and communication on large-data structures such as graphs, trees, unstructured grids, tables, sparse matrices, deep nets, and their combinations (such as, for example, attributed graphs). They have a significant degree of latent parallelism, which however is difficult to exploit due to their complex behavior. Current high performance architectures rely on data locality and regular computation to reduce access latencies, and often do not cope well with the requirements of these applications. Furthermore, irregular applications are difficult to scale on current supercomputing machines, due to their limits in fine-grained synchronization and small data transfers. Irregular applications pertain both to well established and emerging fields, such as machine learning, social network analysis, bioinformatics, semantic graph databases, Computer Aided Design (CAD), and computer security. Many of these application areas also process massive sets of unstructured data, which keep growing exponentially. Addressing the issues of irregular applications on current and future architectures will become critical to solve the challenges in science and data analysis of the next few years. This workshop seeks to explore solutions for supporting efficient execution of irregular applications in the form of new features at the level of the micro- and system-architecture, network, languages and libraries, runtimes, compilers, analysis, algorithms. Topics of interest, of both theoretical and practical significance, include but are not limited to: * Micro- and System-architectures, including multi- and many-core designs, heterogeneous processors, accelerators (GPUs, vector processors, Automata processor), reconfigurable (coarse grained reconfigurable and FPGA designs) and custom processors * Network architectures and interconnect (including high-radix networks, optical interconnects) * Novel memory architectures and designs (including processors-in memory) * Impact of new computing paradigms on irregular workloads (including neuromorphic processors and quantum computing) * Modeling, simulation and evaluation of novel architectures with irregular workloads * Innovative algorithmic techniques * Combinatorial algorithms (graph algorithms, sparse linear algebra, etc.) * Impact of irregularity on machine learning approaches * Parallelization techniques and data structures for irregular workloads * Data structures combining regular and irregular computations (e.g., attributed graphs) * Approaches for managing massive unstructured datasets (including streaming data) * Languages and programming models for irregular workloads * Library and runtime support for irregular workloads * Compiler and analysis techniques for irregular workloads * High performance data analytics applications, including graph databases Besides regular papers, papers describing work-in-progress or incomplete but sound, innovative ideas related to the workshop theme are also encouraged. We solicit both 8-page regular papers and 4-page position papers. Authors of exciting but not mature enough regular papers may be offered the option of a short 4-page paper and related short presentation. Artifact Evaluation For this edition of IA^3, authors of accepted regular papers will be invited to formally submit their supporting materials to the Artifact Evaluation process, similarly to the process followed for SC17. The participation to the Artifact Evaluation process is voluntary and will not change decisions regarding the paper. However, papers that undergo the evaluation process will receive a seal of approval on the paper, and will be able to participate in the BEST PAPER AWARD selection. DIVIDITI will provide an Amazon Gift Voucher (valued $200) to the authors of the paper that passes artifact evaluation with the highest score and that shares the artifact in the CK (Collective Knowledge - https://github.com/ctuning/ck) format. Authors that go through the Artifact Evaluation process are also encouraged (but not mandated) to submit the supporting materials as “Source Materials” in the digital library. For details on how to submit supporting materials to the Artifact Evaluation process, please refer to: http://ctuning.org/ae/submission.html. For any additional question on the Artifact Evaluation process please contact the Artifact Evaluation Chair Flavio Vella. Important Dates Abstract submission: 7 September 2017 - EXTENDED - FIRM Position or full paper submission: 7 September 2017 - EXTENDED - FIRM Notification of acceptance: 3 October 2017 Camera-ready position and full papers: 10 October 2017 Workshop: 13 November 2017 Submissions Submission site: https://easychair.org/conferences/?conf=ia32017 All submissions should be in double-column, single-spaced letter format, with at least one-inch margins on each side and respect the ACM standard proceedings templates (sigconf) available at: https://www.acm.org/publications/proceedings-template. The proceedings of the workshop will be published in cooperation with ACM SIGHPC. Submitted manuscripts may not exceed eight (8) pages in length for regular papers and four(4) pages for position papers including figures, tables and references. Organizers Antonino Tumeo, PNNL, US John Feo, PNNL/NIAC, US, Vito Giovanni Castellana, PNNL, US Artifact Evaluation Chair Flavio Vella, DIVIDITI, UK Publication Chair Marco Minutoli, PNNL, US Program Committee Scott Beamer, LBNL, US Michela Becchi, North Carolina State University, US Erik Boman, Sandia National Laboratories, US David Brooks, Harvard University, US Aydin Buluc, LBNL, US Sunita Chandrasekaran, University of Delaware, US Fabio Checconi, IBM, US Rajiv Gupta, Univerisity of California Riverside, US Maya Gokhale, LLNL, US Peter Kogge, Univ. of Notre Dame, US Vivek Kumar, Rice University, US John Leidel, Texas Tech University, US Kamesh Madduri, Pennsylvania State University, US Naoya Maruyama, RIKEN AICS, JP Tim Mattson, Intel, US Miquel Moreto, BSC and UPC, SP Richard Murphy, Micron Technology Inc, US Walid Najjar, University of California Riverside, US Maxim Naumov, NVIDIA, US Jacob Nelson, University of Washington, US Sreepathi Pai, University of Rochester, US Roger Pearce, LLNL, US Miquel Pericas, Chalmers University, SE Viktor Prasanna, University Of Southern California, US Alejandro Rico, ARM, US Jason Riedy, Georgia Institute of Technology, US Erik Saule, University of North Carolina at Charlotte, US John Shalf, LBNL, US Shaden Smith, University of Minnesota, US Bora Ucar, CNRS and LIP ENS Lyon, FR Ruud Van Der Pas, Oracle, US Flavio Vella, DIVIDITI, UK Ana Lucia Varbanescu, University of Amsterdam, NL

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ESORICS 2017: Call for Participation
by Cristina Alcaraz 21 Aug '17

21 Aug '17

============================================================================== ESORICS 2017: CALL FOR PARTICIPATION 22nd European Symposium on Research in Computer Security Oslo, Norway — September 11-15, 2017 ============================================================================== WWW: https://www.ntnu.edu/web/esorics2017/ Overview ------------------------------------ ESORICS is the annual European research event in Computer Security. The Symposium started in 1990 and has been held in several European countries, attracting a wide international audience from both the academic and industrial communities. The 22nd European Symposium on Research in Computer Security (ESORICS 2017) will be held in Oslo, Norway. ESORICS 2017 spans a total of 3 days, featuring: * 3 keynote speeches (Cormac Herley, Paul Syverson, Sandro Etalle) * 54 paper presentations in 3 days (Sep 11-13) * 8 workshops (Sept 14 - 15) Presentations Program ------------------------------------ The 54 papers of ESORICS 2017 are distributed between **18 sessions** in **two parallel tracks**. Following is the list of paper presentations for the main ESORICS conference. For the workshop programs, please consult their corresponding websites: * SECPRE 2017: https://samosweb.aegean.gr/secpre2017/ * SecSE 2017: http://secse.org * CBT 2017: http://www.deic.uab.cat/~jherrera/CBT/ * DPM 2017: http://deic.uab.cat/conferences/dpm/dpm2017/ * STM 2017: http://stm2017.di.unimi.it * QASA 2017: http://www.iit.cnr.it/qasa2017/ * CyberICPS: http://www.ds.unipi.gr/cybericps2017/ * SIoT 2017: http://siot-workshop.org ### September 11 - Day 1 ########### 09:30 - 10:30 * Keynote: Cormac Herley - Justifying Security Measures - a Position Paper 11:00 - 12:30 * Session 1: Security of embedded things - Shortfall-based Optimal Placement of Security Resources for Mobile IoT Scenarios Antonino Rullo, Edoardo Serra, Elisa Bertino and Jorge Lobo - Analyzing the Capabilities of the CAN Attacker Sibylle Froeschle and Alexander Stühring - Boot Attestation: Secure Remote Reporting with Off-The-Shelf IoT Sensors Steffen Schulz, André Schaller, Florian Kohnhäuser, and Stefan Katzenbeisser * Session 2: Cryptographic Application I - Per-Session Security: Password-Based Cryptography Revisited Gregory Demay, Peter Gazi, Ueli Maurer and Björn Tackmann - Non-Interactive Provably Secure Attestations for Arbitrary RSA Prime Generation Algorithm Fabrice Benhamouda, Houda Ferradi, Rémi Géraud and David Naccache - Tightly Secure Ring-LWE Based Key Encapsulation with Short Ciphertexts Martin Albrecht, Emmanuela Orsini, Kenneth Paterson, Guy Peer and Nigel Smart 14:00 - 15:30 * Session 3: Documents and Authorship - Identifying Multiple Authors in a Binary Program Xiaozhu Meng, Barton Miller and Kwang-Sung Jun - Verifiable Document Redacting Herve Chabanne, Rodolphe Hugel and Julien Keuffer - Source Code Authorship Attribution using Long Short-Term Memory Based Networks Bander Alsulami, Edwin Dauber, Richard Harang, Spiros Mancoridis and Rachel Greenstadt * Session 4: Analysis of Security Protocols - Automated analysis of equivalence properties for security protocols using else branches Ivan Gazeau and Steve Kremer and Levente Buttyán - Secure Authentication in the Grid: A formal analysis of DNP3: SAv5 Cas Cremers, Martin Dehnel-Wild and Kevin Milner - Modular Verification of Protocol Equivalence in the Presence of Randomness Matthew Bauer, Rohit Chadha and Mahesh Viswanathan 16:00 - 17:30 * Session 5: Threat Analysis - Preventing Advanced Persistent Threats in Complex Control Networks Juan E. Rubio, Cristina Alcaraz and Javier Lopez - MTD CBITS: Moving Target Defense for Cloud-Based IT Systems Alexandru G. Bardas, Sathya C. Sundaramurthy, Xinming Ou and Scott A. Deloach - Is my attack tree correct? Maxime Audinot, Sophie Pinchinat and Barbara Kordy * Session 6: Side Channels and data leakage - On-Demand Time Blurring to Support Side-Channel Defense Weijie Liu, Debin Gao and Mike Reiter - Acoustic Data Exfiltration from Speakerless Air-Gapped Computers via Covert Hard-Drive Noise Mordechai Guri, Yosef Solewicz, Andrey Daidakulov and Yuval Elovici - Practical Keystroke Timing Attacks in Sandboxed JavaScript Moritz Lipp, Daniel Gruss, Michael Schwarz, David Bidner, Clémentine Maurice and Stefan Mangard ### September 12 - Day 2 ########### 09:00 - 10:00 * Keynote: Paul Syverson - The Once and Future Onion 10:30 - 12:00 * Session 7: Vulnerabilities and Malware - Mirage: Toward a Stealthier and Modular Malware Analysis Sandbox for Android Lorenzo Bordoni, Mauro Conti and Riccardo Spolaor - VuRLE: Automatic Vulnerability Detection and Repair by Learning from Examples Siqi Ma, Ferdian Thung, David Lo, Cong Sun and Robert Deng - Adversarial Examples for Malware Detection Kathrin Grosse, Nicolas Papernot, Praveen Manoharan, Backes Michael and Patrick McDaniel Russo * Session 8: Privacy in Systems - PerfWeb: How to Violate Web Privacy with Hardware Performance Events Berk Gulmezoglu, Andreas Zankl, Thomas Eisenbarth and Berk Sunar - SePCAR: A Secure and Privacy-enhancing Protocol for Car Access Provision Iraklis Symeonidis, Abdelrahaman Aly, Mustafa Asan Mustafa, Bart Mennink, Siemen Dhooghe and Bart Preneel - Privacy Implications of Room Climate Data Philipp Morgner, Christian Müller, Matthias Ring, Björn Eskofier, Christian Riess, Frederik Armknecht and Zinaida Benenson 13:30 - 15:00 * Session 9: Network security - Link-Layer Device Type Classification on Encrypted Wireless Traffic with COTS Radios Rajib Ranjan Maiti, Sandra Siby, Ragav Sridharan and Nils Ole Tippenhauer - Preventing DNS amplification attacks using the history of DNS queries with SDN Soyoung Kim, Sora Lee, Geumhwan Cho, Muhammad Ejaz Ahmed, Jaehoon Paul Jeong and Hyoungshick Kim - Zero Round-Trip Time for the Extended Access Control Protocol Jacqueline Brendel and Marc Fischlin * Session 10: Controlling Access - No sugar but all the taste! Memory Encryption without Architectural Support Panagiotis Papadopoulos, George Christou, Giorgos Vasiliadis, Evangelos Markatos and Sotiris Ioannidis - Tree-based Cryptographic Access Control James Alderman, Naomi Farley and Jason Crampton - Securing Data Analytics on SGX With Randomization Swarup Chandra, Vishal Karande, Zhiqiang Lin, Latifur Khan, Murat Kantarcioglu and Bhavani Thuraisingham 15:30 - 17:00 * Session 11: Information Flow - We are Family: Relating Information-Flow Trackers Musard Balliu, Daniel Schoepe and Andrei Sabelfeld - A Better Composition Operator for Quantitative Information Flow Analyses Kai Engelhardt - WebPol: Fine-grained Information Flow Policies for Web Browsers Abhishek Bichhawat, Vineet Rajani, Jinank Jain, Deepak Garg and Christian Hammer * Session 12: Blockchain and social networks - A Traceability Analysis of Monero’s Blockchain Amrit Kumar, Clément Fischer, Shruti Tople and Prateek Saxena -RingCT 2.0: A Compact Linkable Ring Signature Based Protocol for Blockchain Cryptocurrency Monero Shi-Feng Sun, Man Ho Au, Joseph Liu and Tsz Hon Yuen - Secure Computation in Online Social Networks Foteini Baldimtsi, Dimitrios Papadopoulos, Stavros Papadopoulos, Alessandra Scafuro and Nikos Triandopoulos ### September 13 - Day 3 ########### 09:00 - 10:00 * Keynote: Sandro Etalle - From Intrusion Detection to Software Design 10:30 - 12:30 * Session 13: Web Security - DeltaPhish: Detecting Phishing Webpages in Compromised Websites Igino Corona, Battista Biggio, Matteo Contini, Luca Piras, Roberto Corda, Mauro Mereu, Guido Mureddu, Davide Ariu and Fabio Roli - DOMPurify: Client-Side Protection against XSS and Markup Injection Mario Heiderich, Christopher Späth, and Jörg Schwenk - Quantifying Web Adblocker Privacy Arthur Gervais, Alexandros Filios, Vincent Lenders and Srdjan Capkun * Session 14: Cryptographic signatures - Reusing Nonces in Schnorr Signatures Marc Beunardeau, Aisling Connolly, Remi Geraud, David Naccache and Damien Vergnaud - How to Circumvent the Structure-Preserving Signatures Lower Bounds MEssam Ghadafi - Server-Supported RSA Signatures for Mobile Devices Ahto Buldas, Aivo Kalu, Peeter Laud and Mart Oruaas 13:30 - 15:00 * Session 15: Formal techniques - Inference-Proof Updating of a Weakened View under the Modification of Input Parameters Joachim Biskup and Marcel Preuß - Verifying Constant-Time Implementations by Abstract Interpretation Sandrine Blazy, David Pichardie and Alix Trieu - AVR Processors as a Platform for Language-Based Security Florian Dewald, Heiko Mantel and Alexandra Weber * Session 16: Privacy and garbled circuits - Labeled Homomorphic Encryption: Scalable and Privacy-Preserving Processing of Outsourced Data Manuel Barbosa, Dario Catalano and Dario Fiore - New Way for Privacy-Preserving Decision Tree Evaluation Raymond K. H. Tai, Jack P. K. Ma, Yongjun Zhao and Sherman S. M. Chow - Enforcing Input Correctness via Certification in Garbled Circuit Evaluation Yihua Zhang, Marina Blanton and Fattaneh Bayatbabolghani 15:30 - 17:00 * Session 17: Intrusion Detection - Secure IDS Offloading with Nested Virtualization and Deep VM Introspection Shohei Miyama and Kenichi Kourai - Network Intrusion Detection based on Semi-Supervised Variational Auto-Encoder Genki Osada, Kazumasa Omote and Takashi Nishide - LeaPS: Learning-Based Proactive Security Auditing for Clouds Suryadipta Majumdar, Yosr Jarraya, Momen Oqaily, Amir Alimohammadifar, Makan Pourzandi, Lingyu Wang and Mourad Debbabi * Session 18: Cryptographic Applications II - Multiple Rate Threshold FlipThem David Leslie, Chris Sherfield and Nigel Smart - Stringer: Measuring the Importance of Static Data Comparisons to Detect Backdoors and Undocumented Functionality Sam L. Thomas, Tom Chothia and Flavio D. Garcia - Generic Constructions for Fully Secure Revocable Attribute-Based Encryption Kotoko Yamada, Nuttapong Attrapadung, Keita Emura, Goichiro Hanaoka and Keisuke Tanaka

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[simu-conf] EXTENDED DEADLINE - WSC 2017 - Posters, Case Studies, PhD Colloquium, Vendor track
by vsim-conf＠sce.carleton.ca 18 Aug '17

18 Aug '17

Winter Simulation Conference (WSC) 2017 - Call for Papers December 3-6, 2017 Red Rock Casino Resort & Spa www.wintersim.org DEADLINE EXTENDED - SEPTEMBER 1 Posters, Case Studies, PhD Colloquium, Vendor tracks WSC TURNS 50: SIMULATION EVERYWHERE! With 360 accepted papers, panels, special tracks, and an amazing venue, this 50th Anniversary Winter Simulation Conference promises to be a very exciting event. This is a reminder that there are other upcoming deadlines: . Poster Track http://meetings2.informs.org/wordpress/wsc2017/poster-sessions/ . PhD Colloquium http://meetings2.informs.org/wordpress/wsc2017/phd-colloquium/ . Case Studies http://meetings2.informs.org/wordpress/wsc2017/tracks/#caseStudies . Vendor Track http://meetings2.informs.org/wordpress/wsc2017/tracks/#vendor KEYNOTE & TITAN SPEAKERS 50th Anniversary Keynote - Barry L Nelson Northwestern University WSC 2067: What Are The Chances? At the November 1967 "Conference on the Applications of Simulation Using GPSS" it seems unlikely that anyone was wondering if the conference would still be occupying a big hotel in 2017. Conferences persist for many reasons, but a technical conference like WSC has to remain relevant to users, vendors, researchers and consumers (not just hotels) to survive. If our kind of simulation vanished, then so (eventually) would WSC. What is required for simulation to "remain relevant" for the next 50 years? Without fear of having to answer for my crimes in 2067, I boldly speculate on what SHOULD matter for the next 10-20 years, if not the next 50, with a focus on our strength: dealing with uncertainty. 50th Anniversary Titans Robert G. Sargent Professor Emeritus - Syracuse University A Prospective on Fifty-Five Years of the Evolution of Scientific Respect for Simulation Bernard P. Zeigler Professor Emeritus of Electrical and Computer Engineering - University of Arizona MASM Keynote Stephane Dauzere-Peres Professor, Ecole des Mines de Saint-Etienne Achievements and Lessons Learned from a Long-term Academic-Industrial Collaboration Military Keynote Douglas Hodson Associate Professor, Professor of Computer Engineering at the Air Force Institute of Technology (AFIT) Military Simulation: A Ubiquitous Future 50th Anniversary Track Keynote Brian Hollocks Professor, Bournemouth University, Faculty of Management. History of Simulation in the United Kingdom Further information about submission and the conference: http://www.wintersim.org Twitter: @WSConf Facebook: https://www.facebook.com/wintersimulationconference/ [apologies for duplicated messages. Problems/issues: vsim-conf-owner(a)sce.carleton.ca]

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IEEE VP TA - Vote for Doug
by fzuconf 18 Aug '17

18 Aug '17

Dear Colleague, The 2017 IEEE elections are August 15 – October 2 and I am running for IEEE VP Technical Activities. My main goal is leveraging IEEE to strengthen members’ careers and “mobilize their future.” It would be my great honor to serve the IEEE community in this role, I hope for your support and your vote! Experience, vision and accomplishment count. My diverse background in industry – and my professional and technical contributions – uniquely qualify me to deal with our current and future challenges. If elected, I shall work with you to maintain and grow IEEE’s position as the world’s leading volunteer-driven professional association – one that focuses on growing careers. My platform includes expanding new technology initiatives, growing standards activities, building education and training, leveraging collaboration across IEEE and externally, achieving diversity, and perhaps most important, assuring affordability as we do more for members’ careers. My website, www.dougzuckerman.org, has more information about me and shares my thoughts on how we shall work together on the theme, "Mobilize Your Future!" Please vote for me, help spread the word, and encourage your friends and colleagues to do likewise. Thanks, Doug Dr. Douglas N. Zuckerman IEEE Life Fellow IEEE Board of Directors – Division III Director (2012-13) IEEE Communications Society President (2008-9) IEEE Technical Activities Board Member (2008-9, 2012-13) IEEE Future Directions Committee (2014 - current) Senior Scientist, Telcordia Technologies (Retired) Consultant, Vencore Labs (www.vencorelabs.com) Ocean, New Jersey, USA Vote August 15th – October 2nd at www.ieee.org/elections. -- | | | Dr. Douglas N. Zuckerman | Candidate for IEEE VP Technical Activities | Ocean, New Jersey, USA | Campaign Website | | | ftin | |

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CFP: 3rd Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC 2017) at SC17: Extended abstracts due Sept. 1
by Jason D. Bakos 18 Aug '17

18 Aug '17

========================================================================== ** Call for Papers ** ========================================================================== Third International Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC 2017) Held in conjunction with Supercomputing 2017 Friday Morning, November 17, 2017 Denver, CO http://h2rc.cse.sc.edu ========================================================================== Submission Deadline: September 1, 2017 (one page extended abstracts) ========================================================================== As conventional von-Neumann architectures are suffering from rising power densities, we are facing an era with power, energy efficiency, and cooling as first-class constraints for scalable HPC. FPGAs can tailor the hardware to the application, avoiding overheads and achieving higher hardware efficiency than general-purpose architectures. Leading FPGA manufacturers have recently made a concerted effort to provide a range of higher-level, easier to use high-level programming models for FPGAs. Such initiatives are already stimulating new interest within the HPC community around the potential advantages of FPGAs over other architectures. With this in mind, this workshop, now in its third year, brings together HPC and heterogeneous-computing researchers to demonstrate and share experiences on legacy and new high-level programming models, optimizations specific to scientific computing and data analytics, tools for performance/energy improvements, FPGA computing in the cloud, and popular applications for reconfigurable computing such as machine learning and big data. ========================================================================== Submissions (one page extended abstract): Submissions are solicited that explore the state of the art in the use of FPGAs in heterogeneous high-performance computing architectures and, at a system level, in data centers and supercomputers. FPGAs may be considered from either or both the distributed, parallel and composable fabric of compute elements or from their dynamic reconfigurability. We particularly encourage submissions which focus on the mapping of algorithms and applications to heterogeneous FPGA-based systems as well as the overall impact of such architectures on the compute capacity, cost, power efficiency, and overall computational capabilities of data centers and supercomputers. Submissions may report on theoretical or applied research, implementation case studies, benchmarks, standards, or any other area that promises to make a significant contribution to our understanding of heterogeneous high-performance reconfigurable computing and will help to shape future research and implementations in this domain. A non-comprehensive list of potential topics of interest is given below: 1. FPGAs in Supercomputer, Cloud and Data Center: FPGAs in relation to challenges to Cloud/Data Center/Supercomputing posed by the end of Dennard scaling 2. Supercomputing, Cloud and Data Center Applications: Exploiting FPGA compute fabric to implement critical cloud/HPC applications 3. Leveraging Reconfigurability: Using reconfigurability for new approaches to algorithms used in cloud/HPC applications 4. Benchmarks: Compute performance and/or power and cost efficiency for cloud/HPC with heterogeneous architectures using FPGAs 5. Implementation Studies: Heterogenous Hardware and Management Infrastructure 6. Programming Languages/Runtimes/OS/Tools/Frameworks for Heterogeneous High Performance Reconfigurable Computing 7. Future-gazing: New Applications/The Cloud Enabled by Heterogeneous High Performance Reconfigurable Computing, Evolution of Computer Architecture in relation to Heterogeneous High Performance Reconfigurable Computing 8. Community building: Standards, consortium activity, open source, education, initiatives to enable and grow Heterogeneous High Performance Reconfigurable Computing Prospective authors are invited to submit original and unpublished contributions as a ONE PAGE EXTENDED ABSTRACT in ACM SIG Proceedings format. ========================================================================== You can submit your contribution(s) through a link on the H2RC website: http://h2rc.cse.sc.edu ========================================================================== Important dates: Submission Deadline: September 1, 2017 Acceptance Notification: October 15, 2017 Camera-ready Manuscripts Due: November 4, 2017 Workshop Date: November 17, 2017 ========================================================================== Workshop Format: H2RC is a half-day Friday workshop. It will be comprised of Keynote and invited talks and talks selected from paper submissions. ========================================================================== Organizing Committee: Workshop Organizers: Michaela Blott, Xilinx Franck Cappello, Argonne National Lab Torsten Hoefler, ETH Zurich Jason D. Bakos, University of South Carolina Program Committee: Rizwan Ashraf, Oak Ridge National Laboratory Paul Chow, University of Toronto Carl Ebeling, Altera Hans Eberle, NVIDIA Alan George, University of Florida Christoph Hagleitner, IBM Miriam Leeser, Northeastern University Viktor Prasanna, Univ. of Southern California Marco Santambrogio, Politecnico Di Milano Jeffrey Vetter, Oak Ridge National Lab -- Jason D. Bakos, Ph.D. Professor Dept. of Computer Science and Engineering Univ. of South Carolina 301 Main St., Suite 3A01L Columbia, SC 29208 803-777-8627 (voice), 803-777-3767 (fax) http://www.cse.sc.edu/~jbakos jbakos(a)cse.sc.edu

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WHPC Workshop @ SC17 - Poster Deadline Extended
by Toni Collis 17 Aug '17

17 Aug '17

================================================================= 7th International Women in HPC workshop Sunday November 12th 2017 — Denver, CO, USA Call for posters and participation - deadline for posters extended: 27th August 2017 https://www.womeninhpc.org/whpc-sc17/workshop/ <https://www.womeninhpc.org/whpc-sc17/workshop/> ================================================================= Call for posters: Deadline extended Deadline for submissions: August 27th 2017 AOE Women in HPC will once again attend the Supercomputing conference to discuss diversity and inclusivity topics. Activities will bring together women from across the international HPC community, provide opportunities to network, showcase the work of inspiring women, and discuss how we can all work towards improving the under-representation of women in supercomputing. The 7th International Women in High Performance Computing (WHPC) workshop at SC17 in Denver brings together the HPC community to discuss the growing importance of increasing diversity in the workplace. This workshop will recognize and discuss the challenges of improving the proportion of women in the HPC community, and is relevant for employers and employees throughout the supercomputing workforce who are interested in addressing diversity. Sessions include: - Improving Diversity in the Workplace: What methods have been put in place and tested to improve workplace diversity and inclusion? - Career Development and Mentoring: Skills to thrive; sharing your experiences and advice on how to succeed in the workplace. - Virtual Poster Showcase: Highlighting work from women across industry and academia. Call for posters: Deadline extended Deadline for submissions: August 27th 2017 AOE As part of the workshop, we invite submissions from women in industry and academia to present their work as a virtual poster. This will promote the engagement of women in HPC research and applications, provide opportunities for peer to peer networking, and the opportunity to interact with female role models and employers. Submissions are invited on all topics relating to HPC from users and developers. All abstracts should emphasise the computational aspects of the work, such as the facilities used, the challenges that HPC can help address and any remaining challenges etc. For full details please see: http://www.womeninhpc.org/whpc-sc17/workshop/submit/ <http://www.womeninhpc.org/whpc-sc17/workshop/submit/> Workshop Committee Chairs - Workshop Chair: Toni Collis, EPCC, UK and Women in HPC Network, UK - Poster Chair: Misbah Mubarak, Argonne National Laboratory, USA - Mentoring Chair: Elsa Gonsiorowski, Lawrence Livermore National Laboratory, USA - Publicity Chair: Kimberly McMahon, McMahon Consulting, USA Steering and Organisation Committee - Sunita Chandrasekaran, University of Delaware, USA - Trish Damkroger, Intel, USA - Kelly Gaither, TACC, USA - Rebecca Hartman-Baker, NERSC, USA - Daniel Holmes, EPCC, UK - Adrian Jackson, EPCC, UK - Alison Kennedy, Hartree Centre, STFC, UK - Lorna Rivera, CEISMC, Georgia Institute of Technology, USA Programme Committee (for early career posters) - Sunita Chandrasekaran, University of Delaware, USA - Toni Collis, EPCC, UK and Women in HPC Network, UK - Elsa Gonsiorowski, Lawrence Livermore National Laboratory, USA - Rebecca Hartman-Baker, NERSC, USA - Daniel Holmes, EPCC, UK - Adrian Jackson, EPCC, UK - Alison Kennedy, Hartree Centre, STFC, UK - Misbah Mubarak, Argonne National Laboratory, USA - Lorna Rivera, CEISMC, Georgia Institute of Technology, USA - Jesmin Jahan Tithi, Parallel Computing Lab, Intel Corporation, USA The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

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Call For Papers [Updated Information]: ESPM2@SC17 - Third International Workshop on Extreme Scale Programming Models and Middleware
by Hari Subramoni 15 Aug '17

15 Aug '17

======================================================================== Call For Papers Third International IEEE Workshop on Extreme Scale Programming Models and Middleware (ESPM2 2017) November 12, 2017, Denver, Colorado to be held in conjunction with SuperComputing 2017, November 12 - 16, 2017 Denver, Colorado http://nowlab.cse.ohio-state.edu/espm2/ ======================================================================== Next generation architectures and systems being deployed are characterized by high concurrency, low memory per-core, and multiple levels of hierarchy and heterogeneity. These characteristics bring out new challenges in energy efficiency, fault-tolerance and, scalability. It is commonly believed that software has the biggest share of the responsibility to tackle these challenges. In other words, this responsibility is delegated to the next generation programming models and their associated middleware/runtimes. This workshop focuses on different aspects of programming models such as task-based parallelism (Charm++, OCR, Habanero, Legion, X10, HPX, etc), PGAS (OpenSHMEM, UPC, CAF, Chapel, UPC++, etc.), BigData (Hadoop, Spark, etc), Deep Learning (Caffe, Microsoft CNTK, Google TensorFlow), directive-based languages (OpenMP, OpenACC) and Hybrid MPI+X, etc. It also focuses on their associated middleware (unified runtimes, interoperability for hybrid programming, tight integration of MPI+X, and support for accelerators) for next generation systems and architectures. The ultimate objective of the ESPM2 workshop is to serve as a forum that brings together researchers from academia and industry working in the areas of programming models, runtime systems, compilers, programming languages, and application developers. ESPM2 2017 will be held as a full day workshop in conjunction with the SuperComputing (SC 2017), Denver, Colorado, USA, Sunday, November 12th, 2017. Topics ------ ESPM2 2017 welcomes original submissions in a range of areas, including but not limited to: * New programming models, languages and constructs for exploiting high concurrency and heterogeneity * Experience with and improvements for existing parallel languages and run-time environments such as: - MPI - PGAS (OpenSHMEM, UPC, CAF, Chapel, UPC++, etc.) - Directive-based programming (OpenMP, OpenACC) - Asynchronous Task-based models (Charm++, OCR, Habanero, Legion, X10, HPX, etc) - Hybrid MPI+X models - BigData (Hadoop, Spark, etc), and - Deep Learning (Caffe, Microsoft CNTK, Google TensorFlow) * Parallel compilers, programming tools, and environments * Software and system support for extreme scalability including fault tolerance * Programming environments for heterogeneous multi-core systems and accelerators such as KNL, OpenPOWER, ARM, GPUs, FPGAs, MICs, and DSPs Papers should present original research and should provide sufficient background material to make them accessible to the broader community. Best Paper Award ---------------- Intel has generously offered to sponsor the Best Paper Award. This award will be given to the author(s) of the paper selected by the Technical Program Committee and the Program Chairs. The award will be determined from viewpoints of the technical and scientific merits, impact on the science and engineering of the research work and the clarity of presentation of the research contents in the paper. Keynote Speakers ---------------- We are happy to announce that Prof. William D. Gropp, Interim Director and Chief Scientist at the National Center for Supercomputing Applications and the Thomas M. Siebel Chair in Computer Science at the University of Illinois Urbana-Champaign will deliver the keynote address at ESPM2'17. Panel Information ----------------- Panel Topic : Effective Programming Models for Deep Learning at Scale Panel Moderator : Daniel Holmes, EPCC, The University of Edinburgh, UK. Panel Members : Coming soon! Paper Submission and Registration --------------------------------- Abstracts and papers need to be submitted via the EasyChair conference system. EasyChair URL for ESPM2'17: https://easychair.org/conferences/?conf=espm22017 Submissions should not exceed 8 pages using ACM format with 10pt font. Each submission must be a single PDF file. Papers must be submitted in PDF format (readable by Adobe Acrobat Reader 5.0 and higher) and formatted for 8.5" x 11" (U.S. Letter). The manuscript should be formatted according to ACM format (see http://www.acm.org/sigs/publications/proceedings-templates) Papers should present original research and should provide sufficient background material to make them accessible to the broader community. It should not be submitted in parallel to any other conference or journal. At least one of the authors of each accepted paper must register as a participant of the workshop and present the paper at the workshop, in order to have the paper published in the proceedings. Each research paper will be taken through a comprehensive peer review process by an internationally recognized group of experts in the field. Papers will be evaluated along the metrics of a) Quality of Presentation; b) Novelty / Originality; c) Relation to State of the Art; d) Technical Strength; e) Significance of Work; and f) Relevance to Workshop. Every effort will be made to ensure that each paper receives multiple reviews. Please contact the Program Chairs for any questions/clarifications Proceedings Information ----------------------- ACM SigHPC will publish the workshop proceedings which will be available through the ACM Digital Library. The camera-ready versions need to be submitted via the EasyChair conference management system. The link to the submission site will be provided soon. Please contact the Program Chairs for any questions/clarifications. Important Dates --------------- Technical paper submission deadline : 11:59 PM, AoE, August 31, 2017 Author notification : October 1, 2017 Camera-ready deadline : 11:59 PM, AoE, October 7, 2017 Workshop : Sunday, November 12, 2017 ESPM2'17 Workshop Organizers ------------------------------ Hari Subramoni, The Ohio State University Karl Schulz, Intel Corporation Dhabaleswar K. (DK) Panda, The Ohio State University Program Committee ----------------- * Guang R. Gao, University of Delaware * Vladimir Getov, University of Westminster, UK * Jeff Hammond, Intel Labs * Michael A. Heroux, Sandia National Laboratories * Costin Iancu, Lawrence Berkeley National Laboratory * Darren Kerbyson, Pacific Northwest National Laboratory * Guangming Tan, Institute of Computing Technology, Chinese Academy of Sciences, China * Olivier Tardieu, IBM T.J. Watson Research Center * Daniel Tian, The Portland Group * Sean Treichler, NVIDIA Corporation * Abhinav Vishnu, Pacific Northwest National Laboratory Further Information ------------------- See the ESPM2'17 website at http://nowlab.cse.ohio-state.edu/espm2/ Thanks, The ESPM2'17 Organizing Committee.

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