computational.science January 2020

computational.science@lists.iccsa.org

37 participants
46 discussions

[CFP] GrAPL 2020 - Deadline Approaching!
by Tumeo, Antonino 25 Jan '20

25 Jan '20

[Please accept our apologies for multiple postings.] NEWS: DEADLINE APPROACHING!!! CALL FOR PAPERS ******************************************************************************* GrAPL 2020: Workshop on Graphs, Architectures, Programming, and Learning https://hpc.pnl.gov/grapl/ May 18, 2020 Co-Located with IPDPS 2020 New Orleans Louisiana, USA GrAPL is the result of the combination of two IPDPS workshops: GABB: Graph Algorithms Building Blocks GraML: Workshop on The Intersection of Graph Algorithms and Machine Learning ****************************************************************************** SUMMARY ------- Data analytics is one of the fastest growing segments of computer science. Many real-world analytic workloads are a mix of graph and machine learning methods. Graphs play an important role in the synthesis and analysis of relationships and organizational structures, furthering the ability of machine-learning methods to identify signature features. Given the difference in the parallel execution models of graph algorithms and machine learning methods, current tools, runtime systems, and architectures do not deliver consistently good performance across data analysis workflows. In this workshop we are interested in graphs, how their synthesis (representation) and analysis is supported in hardware and software, and the ways graph algorithms interact with machine learning. The workshop’s scope is broad and encompasses the wide range of methods used in large-scale data analytics workflows. This workshop seeks papers on the theory, model-based analysis, simulation, and analysis of operational data for graph analytics and related machine learning applications. In particular, we are interested, but not limited to the following topics: • Provide tractability and performance analysis in terms of complexity, time-to-solution, problem size, and quality of solution for systems that deal with mixed data analytics workflows; • Discuss the problem domains and problems addressable with graph methods, machine learning methods, or both; • Discuss programming models and associated frameworks such as Pregel, Galois, Boost, GraphBLAS, GraphChi, etc., for building large multi-attributed graphs; • Discuss how frameworks for building graph algorithms interact with those for building machine learning algorithms; • Discuss hardware platforms specialized for addressing large, dynamic, multi-attributed graphs and associated machine learning; Besides regular papers, short papers (up to four pages) describing work-in-progress or incomplete but sound, innovative ideas related to the workshop theme are also encouraged. IMPORTANT DATES --------------- Position or full paper submission: February 3, 2020 Author Notification: February 29, 2020 Camera-ready: March 15, 2020 Workshop: May 18, 20120 PAPER SUBMISSIONS ----------------- Submissions will be done through Linklings: https://ssl.linklings.net/conferences/ipdps/ Please visit GrAPL'20 website for instructions: https://hpc.pnl.gov/grapl/ Authors can submit two types of papers: Short papers (up to 4 pages) and long papers (up to 10 pages). All submissions must be single-spaced double-column pages using 10-point size font on 8.5x11 inch pages (IEEE conference style), including figures, tables, and references. The templates are available at: http://www.ieee.org/conferences_events/conferences/publishing/templates.html ORGANIZATION ------------ General co-Chairs: Scott McMillan (CMU SEI), smcmillan(a)sei.cmu.edu Manoj Kumar (IBM), manoj1(a)us.ibm.com Program Chairs: Danai Koutra (University of Michigan, Ann Arbor), dkoutra(a)umich.edu Mahantesh Halappanavar (PNNL), hala(a)pnnl.gov GrAPL's Little Helpers: Tim Mattson (Intel) Antonino Tumeo (PNNL) Program Committee: Nesreen K Ahmed, Intel Research and Intel AI, USA Sasikanth Avancha, Intel Labs - Parallel Computing Lab, India Aydin Buluç, Lawrence Berkeley National Lab, USA Timothy A. Davis, University of Florida, USA Jana Doppa, Washington State University, USA John Gilbert, University of California at Santa Barbara, USA Sergio Gómez, Universitat Rovira i Virgili, Catalonia Will Hamilton, McGill University, Mila, Canada Stratis Ioannidis, Northeastern University, Boston, USA Bharat Kaul, Intel Labs - Parallel Computing Labs, India Kamesh Madduri, The Pennsylvania State University, USA Henning Meyerhenke, Humboldt University of Berlin, Germany Indranil Roy, Natural Intelligence, USA Robert Rallo, Pacific Northwest National Lab, USA P. Sadayappan, University of Utah, USA Yizhou Sun, University of California, Los Angeles, USA Flavio Vella, Free University of Bozen, Italy Steering Committee: David A. Bader (New Jersey Institute of Technology) Aydın Buluç (LBNL) John Feo (PNNL) John Gilbert (UC Santa Barbara) Tim Mattson (Intel) Ananth Kalyanaraman (Washington State University) Jeremy Kepner (MIT Lincoln Laboratory) Antonino Tumeo (PNNL)

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Open positions (Post-doc and MSc/PhD): Web-Based Multi-Agent Systems
by Ciortea, Andrei 23 Jan '20

23 Jan '20

Dear all, We have two open positions on Multi-Agent Systems, Semantic Web, and Linked Data: Inria Sophia Antipolis (France): Post-Doctoral researcher on architectural styles and ontologies for Hypermedia Multi-agent Systems https://jobs.inria.fr/public/classic/en/offres/2019-02101 MINES Saint-Étienne (France): Master Internship on Semantic Multi-Agent Organisations for the Regulation of Hypermedia Communities of People and Autonomous Agents (to be converted in a Doctoral Position) https://ci.mines-stetienne.fr/jobs/M2_HyperAgents_2020.html Kind regards, Andrei Ciortea -- Andrei Ciortea Postdoctoral Researcher Interaction- and Communication-based Systems University of St. Gallen http://interactions.ics.unisg.ch/

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CFP - Quantum Computing Thematic Track at International Conference on Computational Science 2020
by Peter Mueller 22 Jan '20

22 Jan '20

Quantum Computing Thematic Track -------------------------------- in conjunction with the International Conference on Computational Science June 3 - 5, 2020 , Amsterdam, The Netherlands Extended paper due date: February 7th, 2020 (firm) https://www.iccs-meeting.org/iccs2020/ http://www.qcw2020.agh.edu.pl/ Introduction Quantum computing is a new paradigm that exploits fundamental principles of quantum mechanics to solve problems in various fields of science that are beyond possibilities of classical computing infrastructures. Despite increasing activity in both theoretical research and hardware implementations, reaching the state of useful quantum supremacy is still an open question. This workshop aims to provide a forum for computational scientists, software developers, computer scientists, physicists and quantum hardware providers to understand and discuss research on current problems in quantum informatics. Topics Specific topics include (but are not limited to): - New quantum computing algorithms; - New hybrid quantum-classical solutions; - Application of quantum computing to current problems in computational science; - Quantum algorithms in machine learning and big data; - Integration of quantum computation with supercomputing infrastructure; - Quantum computing hardware; - Quantum error correction; - Advanced methods for quantum software engineering; - Novel numerical methods supporting quantum information theory; - Environments and frameworks for quantum computing; - Quantum simulators; - Cloud-based support for quantum computing; - Dedicated services required for quantum computing; - Novel approaches to quantum games; - Quantum networks / quantum Internet; - Quantum programming languages; - Creative tools for quantum computation education: video games, interactive art; - Challenging applications in industry and academia; Papers We cordially invite you to submit a paper presenting the results of original research in the area of quantum computing. Papers of up to 14 pages, written in English and formatted according to the Springer LNCS templates, should be submitted electronically via EasyChair. You also have the option of submitting a short paper of up to 7 pages. Both Full and Short Papers use the same templates and are published in LNCS. Templates are available for download in EasyChair’s “Templates” menu.All papers will be peer reviewed. After the conference, the best papers will be invited for a special issue of the Journal of Computational Science (Impact Factor: 1.925). Important Dates Full paper submission: February, 7, 2020 (firm) Notification of acceptance: February 14, 2020 Camera-ready papers: March 6, 2020 Program Committee Nicholas Chancellor, EPSRC UKRI Innovation Fellow, Durham University, UK Piotr Frąckiewicz, Pomeranian University, PL Piotr Gawron, Nicolaus Copernicus Astronomical Center, Polish Academy of Sciences Sophia Grundner-Culemann, Ludwig-Maximilians-Universität München, Institut für Informatik, DE Tobias Guggemos, Ludwig-Maximilians-Universität München, Institut für Informatik, DE Maximilian Höb, Ludwig-Maximilians-Universität München, Institut für Informatik, DE Krzysztof Kurowski, Poznan Supercomputing and Networking Center, PL Jarosław Miszczak,Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, PL Peter Müller, IBM Zurich Research Laboratory, Zurich, CH Frank Phillipson, TNO, The Hague, NL Heike Riel, IBM Fellow, Department Head Science & Technology, IBM Research, Zurich, CH Haozhen Situ, College of Mathematics and Informatics, South China Agricultural University, CN Bogdan Staszewski, University College London, UK Tomasz Stopa, IBM Software Laboratory, Kraków, PL Karol Życzkowski, Jagiellonian University, Kraków, PL Workshop Chairs Katarzyna Rycerz, Department of Computer Science, AGH, Krakow, Poland Marian Bubak, Department of Computer Science AGH and Sano Center, Krakow, Poland E-mail: qcw2020 [at] agh.edu.pl

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WHPC@ISC'20 Call for posters
by Mozhgan Kabiri Chimeh 21 Jan '20

21 Jan '20

Call for early/mid career posters on HPC topics for the 12th International Women in HPC Workshop ================================================================= 12th International Women in HPC workshop Thursday June 25th 2020 — Frankfurt, Germany Call for posters and participation https://womeninhpc.org/events/isc-2020/workshop ================================================================= The twelfth international Women in HPC workshop will discuss methods to improve diversity and provide early career women with the opportunity to develop their professional skills and profile. The workshop will include: - Being part of the solution: instructions for advocates and allies - Putting in place a framework to help women take grow their careers - Explore pathways to leadership positions - Posters and lightning talks by women working in HPC - Short talks on topics including: dealing with sponsorship versus mentorship, the case for reverse mentorship to achieve diversity, addressing toxic behaviour at work, career advancement strategies, and 3 minute networking solution. Call for posters: Now Open! Deadline for submissions: March 2nd 2020 AOE As part of the workshop, we invite submissions from women in industry and academia to present their work as a poster. Submissions are invited on all topics relating to HPC from users and developers. All abstracts should emphasize the computational aspects of the work, such as the facilities used, the challenges that HPC can help address and any remaining challenges etc. Exclusive to WHPC at ISC20: Successful authors will have the opportunity to present their posters in the main ISC20 conference poster session. For full details please see: https://womeninhpc.org/events/isc-2020/workshop *Workshop Organising Committee* - Workshop Chair: Mozhgan Kabiri Chimeh (NVIDIA, UK) - Co-chair: Fouzhan Hosseini (Numerical Algorithms Group, UK) - Vice-chair: Elsa Gonsiorowski (Lawrence Livermore National Laboratory, USA) - Submissions Chair: Weronika Filinger (EPCC, University of Edinburgh, UK) - Submissions Co-Chair: Vitalina Morais (Mozambique Research and Education Network, Africa) - Mentoring Chair: Aiman Shaikh (Science and Technology Facilities Council, UK) - Invited Talks Chair: Rosa Filgueira (EPCC, University of Edinburgh, UK) - Publicity Chair: Cristin Merritt (Alces Flight, UK) - Website Chair: Caitlin Ross (Kitware, USA) -- Dr Mozhgan Kabiri Chimeh (NVIDIA) Visiting Researcher @ The University of Sheffield Software Sustainability Institute Fellow +447776633818 | mkchimeh.com

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Springer LNCS : CFP - AI in Cyber Forensics@ICCSA 2020, Univ of Cagliari, Italy
by A.Chamundeswari 21 Jan '20

21 Jan '20

Dear Sir/Madam, The 20th International Conference on Computational Science and Applications (ICCSA 2020) will be held on July 1 - 4, 2020 in Cagliari, Italy in collaboration with the University of Cagliari, Italy. Follow this link to explore about the ICCSA 2020 conference, http://www.iccsa.org/ This a call for papers on *Artificial Intelligence in Cyber Forensics (AICF 2020) workshop, *which is to be held at ICCSA 2020 conference. About the workshop : Machine learning can be used in forensics investigation, to setup an environment to train artificial neural networks and as well as analyse data. Machine Learning algorithms such as Classification, Prediction enables to allow machines to interact with the evidence data. Deep Learning techniques can help in the analysis of huge amount of data during a forensic investigation process. Deep Learning algorithms can also handle evidence acquisition, evidence preservation, evidence analysis, evidence interpretation, etc. Invited research papers related to this workshop, but limited to: - Analysis of Forensic Knowledge - Evidence Collection, Extraction and Reporting - Storage and Transmit Information - Volume of Digital Forensic Data - Forensic Tools - Impediments in Mobile Device Forensic - Deep Learning-based Forensics and Anti-Forensics - Applications of Machine Learning in Cyber Forensics The reviewed and accepted papers will be published in Springer LNCS series. Follow this link to explore about the workshop : http://www.iccsa.org/workshops Submit your papers by following the link : https://ess.iccsa.org/cgi-bin/login.py *Important dates:* Submission Deadline Mar 15, 2020 Notification Due Apr 25, 2020 Final Version Due May 8, 2020 All submitted papers will be reviewed. Contributors may also be requested to serve as reviewers for this workshop. Kind regards, Dr. A. Chamundeswari, Professor, Department of Computer Science and Engineering, SSN College of Engineering, Rajiv Gandhi Salai(OMR), Kalavakkam, TamilNadu, Pin-603110. http://member.acm.org/~chamundeswaria -- ::DISCLAIMER:: --------------------------------------------------------------------- The contents of this e-mail and any attachment(s) are confidential and intended for the named recipient(s) only. Views or opinions, if any, presented in this email are solely those of the author and may not necessarily reflect the views or opinions of SSN Institutions (SSN) or its affiliates. Any form of reproduction, dissemination, copying, disclosure, modification, distribution and / or publication of this message without the prior written consent of authorized representative of SSN is strictly prohibited. If you have received this email in error please delete it and notify the sender immediately. --------------------------------------------------------------------- Header of this mail should have a valid DKIM signature for the domain ssn.edu.in <http://www.ssn.edu.in/>

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SEIT-2020 CfPs: The 10th International Conference on Sustainable Energy Information Technology (August 9-12, 2020, Leuven, Belgium)
by Aneta Poniszewska-Marańda I72 21 Jan '20

21 Jan '20

Call for Papers The 10th International Conference on Sustainable Energy Information Technology (SEIT-20) http://cs-conferences.acadiau.ca/seit-20/ IMPORTANT DATES - Workshop Proposals Due: February 20, 2020 - Paper Submission Due: March 19, 2020 - Acceptance Notification: May 17, 2020 - Camera-Ready Submission: June 15, 2020 About SEIT 2020 will be held in the city of Leuven. Leuven is the capital of the province of Flemish Brabant in Belgium. It is located about 25 kilometres (16 miles) east of Brussels. It is the 10th largest municipality in Belgium and the fourth in Flanders. Leuven is home to the Katholieke Universiteit Leuven, the largest and oldest university of the Low Countries and the oldest Catholic university still in existence. The related university hospital of UZ Leuven, is one of the largest hospitals of Europe. The city is also known for being the headquarters of Anheuser-Busch InBev, the world's largest brewer and one of the five largest consumer-goods companies in the world. Leuven's Town Hall is one of the best-known Gothic town halls worldwide and Leuven's pride and joy. It took three architects and thirty years to build it. Leuven's 'Hall of Fame' features 236 statues, which were only added to the façade after 1850. There are 220 men and 16 women in total. On the bottom floor are famous Leuven scientists, artists and historical figures, dressed in Burgundian garb. The first floor is reserved for the patron saints of the various parishes of Leuven. Above them the façade is adorned by the counts and dukes of Brabant while the towers primarily feature biblical figures. SEIT 2020 accepted papers will be published by Elsevier Science in the open-access Procedia Computer Science series on-line. Procedia Computer Science is hosted by Elsevier on www.Elsevier.com<http://www.elsevier.com/> and on Elsevier content platform ScienceDirect (www.sciencedirect.com<http://www.sciencedirect.com/>), and will be freely available worldwide. All papers in Procedia will be indexed by Scopus (www.scopus.com<http://www.scopus.com/>) and by Thomson Reuters' Conference Proceeding Citation Index (http://thomsonreuters.com/conference-proceedings-citation-index/). All papers in Procedia will also be indexed by Scopus (www.scopus.com<http://www.scopus.com/>) and Engineering Village (Ei) (www.engineeringvillage.com<http://www.engineeringvillage.com/>). This includes EI Compendex (www.ei.org/compendex<http://www.ei.org/compendex>). Moreover, all accepted papers will be indexed in DBLP (http://dblp.uni-trier.de/). The papers will contain linked references, XML versions and citable DOI numbers. You will be able to provide a hyperlink to all delegates and direct your conference website visitors to your proceedings. Selected papers will be invited for publication in journals special issues. Conference Main Tracks - Advanced Techniques for Energy Applications - Energy Efficiency - Energy Policy - Environmental - Green Sustainability - Power Quality, Power Electronics and Electric Machines - Power Systems - Renewable Energies - Sensing & Monitoring - Smart Systems Committees Honorary Chair Luc De Schepper, Rector, Hasselt University, Belgium General Chairs Bruce Spencer, University of New Brunswick, Canada Program Chairs Jesús Fraile Ardanuy, Universidad Politécnica de Madrid, Spain Davy Janssens, Hasselt University, Belgium Workshops' Chairs Hui Hou, Wuhan University of Technology, China Haroon Malik, Marshall University, USA International Journals Chair Ansar-Ul-Haque Yasar, IMOB – Hasselt University, Belgium Publicity Chairs Mustafa Gül, University of Alberta, Canada Aneta Poniszewska-Maranda, Lodz University of Technology, Poland Advisory Committee Antonio J. Conejo, Universidad de Castilla - La Mancha, Spain Derek J Croome, University of Reading, UK Geert Deconinck, KU Leuven, Belgium Jatin Nathwani, University of Waterloo, Canada Saffa Riffat, University of Nottingham, UK Ali Sayigh,World Renewable Energy Congress / Network Technical Program Committee http://cs-conferences.acadiau.ca/seit-20/#programCommittees ________________________________ [Politechnika Łódzka / Lodz University of Technology]<https://www.p.lodz.pl> Treść tej wiadomości zawiera informacje przeznaczone tylko dla adresata. Jeżeli nie jesteście Państwo jej adresatem, bądź otrzymaliście ją przez pomyłkę, prosimy o powiadomienie o tym nadawcy oraz trwałe jej usunięcie. This email contains information intended solely for the use of the individual to whom it is addressed. If you are not the intended recipient or if you have received this message in error, please notify the sender and delete it from your system.

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FINAL CALL - IEEE INFOCOM: International Workshop on Big Data and Cloud Performance (DCPerf’20)
by Peter Mueller 20 Jan '20

20 Jan '20

Call for Papers ----------------------------------------------------------------- The 10th International Workshop on Big Data and Cloud Performance (DCPerf’20) Extended due date for review manuscripts: 25. January 2020 (firm) ----------------------------------------------------------------- in conjunction with IEEE INFOCOM 2020 April 27, 2020, Beijing, China https://infocom2020.ieee-infocom.org/workshop-big-data-and-cloud-performance The 10th Workshop on Big Data and Cloud Performance (DCPerf'20) will be held in conjunction with the IEEE INFOCOM'20 in Beijing, China on April 27, 2020. The goal of DCPerf is to promote a community-wide discussion to identify suitable strategies to enable effective and scalable performance optimization. Submissions on any topics of datacenter, cloud and bigdata performance are welcome. Submission site will remain open until Jan. 8th, 2020. Cloud data centers are the backbone infrastructure for tomorrow's information technology. Their advantages are efficient resource provisioning and low operational costs for supporting a wide range of computing needs, be it in business, scientific or mobile/pervasive environments. Because of the rapid growth in user-defined and user-generated applications and content, the range of services provided at data centers will expand tremendously and unpredictably. Particularly, big data applications and services, e.g., social and environmental sensing, and IoT monitoring, present a unique class of challenges in the Cloud. In addition, the high volume of mixed workloads and the diversity of services offered render the performance optimization of data centers even more challenging. Moreover, important optimization criteria, such as scalability, reliability, manageability, power efficiency, area density, and operating costs, are often conflicting. The increasing mobility of users across geographically distributed areas adds another dimension to optimizing big data and cloud applications. The goal of this workshop is to promote a community-wide discussion to identify suitable strategies to enable effective and scalable performance optimizations. We are looking for papers that present new techniques, introduce new methodologies, propose new research directions, or discuss strategies for resolving open performance problems for hosting big data analytics in the cloud. Topics of interest include (but are not limited to): - Big data applications and services - Emerging IoT applications - Data flow management - Processing platforms - Empirical studies - Cloud systems - Novel architectures - Resource allocation - Content distribution - Evaluation/modeling methodology - Big data and cloud performance - Cost/pricing design - Power/energy management - Reliability/dependability - Performance evaluation/modeling - Big data in the cloud - Intra/Inter communication - Network protocols - Security - Real-time analytics Important Dates: Full Review Paper Submission: Jan. 25th, 2020 (firm) Notification of Acceptance: Feb. 15th, 2020 Final Manuscript Due: March 6, 2020 Submission Guideline: Manuscripts must be limited to 6 pages in IEEE 8.5x11-inch format. Accepted papers will be published in the combined INFOCOM 2020 Workshop proceedings and will be submitted to IEEE Xplore. Submitted papers may not have been previously published in or be under consideration for publication in another journal or conference. The reviews will be single blinded. Manuscripts should be submitted as PDF files via EDAS link: https://edas.info/newPaper.php?c=26866&track=99584 Committee: General Chair Wanyang Dai, Department of Mathematics, Nanjing University, China TPC co-Chairs Peter Mueller, IBM Research Zurich Lab, Switzerland Rui Han, School of Computer Science&Technology, Beijing Instititute of Technology

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Call for Chapters
by Ivan Mistrik 18 Jan '20

18 Jan '20

*** Call for Chapters *** We invite high-quality chapters for an edited book on KNOWLEDGE MANAGEMENT IN DEVELOPMENT OF DATA-INTENSIVE SOFTWARE SYSTEMS A book to be published by CRC Press/Taylor & Francis Group and edited by: - Ivan Mistrik, Computer Scientist & Software Researcher, Heidelberg, Germany - Matthias Galster, Senior Lecturer in Software Engineering at University of Canterbury, New Zealand - Bruce Maxim, Full Professor of Computer and Information Science at the University of Michigan-Dearborn, USA - Bedir Tekinerdogan, Full professor and chair of the Information Technology group at Wageningen University in The Netherlands OVERVIEW ------------------ Big data is characterized by the seven V’s: volume (large amounts of data), velocity (continuously processed data in real time), variety (unstructured, semi-structured or structured data in different formats and from multiple and diverse sources), veracity (uncertainty and trustworthiness of data), validity (relevance of data to the problem to solve), volatility (constant change of input data), and value (how data and its analysis adds value). Big data systems are software applications that process and potentially generate big data. Such applications receive and process data from various diverse (usually distributed) sources, such as sensors, devices, whole networks, social networks, mobile devices or devices in an Internet-of-Things. They process high workloads of data and handle high requests for data. The idea is to use large amounts of data strategically and efficiently to provide additional intelligence. This book will explore software engineering of big data systems, including topics related to requirements as well as architecture, detailed design, implementation, maintenance and operations. Software engineering is the application of a systematic approach to designing, operating and maintaining software systems and the study of all the activities involved in achieving the same. The software engineering discipline and research into software systems flourished with the advent of computers and the technological revolution ushered in by the World Wide Web and the Internet. Software systems have grown dramatically to the point of becoming ubiquitous. They have a significant impact on the global economy and on how we interact and communicate with each other and with computers using software in our daily lives. However, there have been major changes in the type of software systems developed over the years. In the past decade owing to breakthrough advancements in cloud and mobile computing technologies, unprecedented volumes of hitherto inaccessible data, referred to as big data, has become available to technology companies and business organizations farsighted and discerning enough to use it to create new products, and services generating astounding profits. This book will focus on several research challenges of software engineering for developing big data systems, in particular by: - surveying the existing software engineering literature on applying software engineering principles into developing and supporting big data systems - identifying the fields of application for big data software systems - investigating the software engineering knowledge areas that have seen research related to big data systems - revealing the gaps in the knowledge areas that require more focus for big data systems development - determining the open research challenges in each software engineering knowledge area that need to be met. BACKGROUND TOPICS All chapters should consider the practical application of the topic through case studies, experiments, empirical validation, or systematic comparisons with other data systems, as well as allow further approaches already in practice. The book intends to discuss systematic and disciplined approaches to building big data systems, dissemination of the state-of-the-art methods and techniques for representing and evaluating these systems. FORMAT ------------------ Chapters are invited that synthesize existing knowledge on relevant background topics and application areas in software engineering of big systems. Chapters should be accessible to senior undergraduate students and graduate students with a background in Computer Science, Information Science, Software Engineering, Software Architecture, Systems Engineering, Requirements Engineering, Software Design or related disciplines. Chapters are not expected to correspond to the description of a single research project or technique. Each chapter should clearly highlight three to five take-away messages or key lessons at the beginning of the chapter. PROCEDURE ------------------ Please submit your chapter in PDF format to: https://easychair.org/conferences/?conf=kmddis2019 Chapters will be peer-reviewed by 3 reviewers. The authors participating in this publishing project will also be asked to review chapters by other contributors. We recommend using Word from very beginning, since the sources for the final manuscript are required to be in Word. Please refer to Publisher’s Guideline for Authors at https://www.crcpress.com/assets/images/crc/T%26F%20Text%20Preparation%20Ins… You are expected to collaborate on final editing of your chapter by Publisher’s editorial project manager. IMPORTANT DATES ------------------ Letter of Intent to editors (a tentative title, authors, a short abstract): December 2019: (as early as convenient) Chapters due: 30 January 2020 (extended until 28 February 2020) First round of reviews: 1 February 2020 – 30 April 2020 Revisions: 1 May 2020 -30July 2020 Second round of reviews: 1 August 2020 -30 August 2020 Final version due: 30 November 2020 Complete manuscript due: 30 February 2021 Expected publication: Spring 2021 For further details please contact editors at kmddis2019(a)easychair.org

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[Meetings] MESS 2020 ~ Learning & Optimization from Big Data ~ Catania, 27-31 July 2020
by Mario Pavone 18 Jan '20

18 Jan '20

Call for Participation (apologies for multiple copies) ----------------------------------------------------------------------- MESS 2020 - Metaheuristics Summer School - Learning & Optimization from Big Data - 27-31 July 2020, Catania, Italy https://www.ANTs-lab.it/mess2020/ mess.school(a)ANTs-lab.it https://www.facebook.com/groups/MetaheuristicsSchool/ ----------------------------------------------------------------------- ** APPLICATION DEADLINE: 5th March 2020 ** https://www.ants-lab.it/mess2020/application/ MESS 2020 is aimed at qualified and strongly motivated MSc and PhD students; post-docs; young researchers, and both academic and industrial professionals to provide an overview on the several metaheuristics techniques, and an in-depth analysis of the state-of-the-art. The main theme of the 2020 edition is ?Learning and Optimization from Big Data?, therefore MESS 2020 wants to focus on (i) Learning for Metaheuristics; (ii) Optimization in Machine Learning; and (iii) how Optimization and Learning affect the Metaheuristics making them relevant in handling Big Data. All participants will have plenty of opportunities for debate and work with leaders in the field, benefiting from direct interaction and discussions in a stimulating environment. They will also have the possibility to present their recently results and/or their working in progress through oral or poster presentations, and interact with their scientific peers, in a friendly and constructive environment. Participants will be delivered a certificate of attendance indicating the number of hours of lectures (36-40 hours of lectures). In according to the academic system all PhD and master students attending to the summer school will may get 8 ECTS points. ** LIST OF LECTURERS + Swagatam Das, Indian Statistical Institute, Kolkata + Luca Maria Gambardella, IDSIA Istituto Dalle Molle for Artificial Intelligence, Switzerland + Salvatore Greco, University of Catania, Italy & University of Portsmouth, UK + Emma Hart, Edinburgh Napier University, UK + Mauricio Resende, AMAZON, USA + Roman Slowinski, Pozna? University of Technology, Poland + El-Ghazali Talbi, University of Lille 1, France + Daniele Vigo, University of Bologna, Italy More Lecturers will be announced soon. ** SCHOOL DIRECTORS + Pascal Bouvry, University of Luxembourg, Luxembourg + Salvatore Greco, University of Catania, Italy + Ender Ozcan, University of Nottingham, UK + Mario Pavone, University of Catania, Italy + El-Ghazali Talbi, University of Lille 1, France + Daniele Vigo, University of Bologna, Italy ** METAHEURISTICS COMPETITION All participants to the school will be involved in the ?Metaheuristics Competition?, where each of them will must develop a metaheuristic solution on the given problem. The top three of the competition ranking will receive the MESS 2020 prize. Students whose algorithm will rank in the first five top of the competition ranking, will be invited to submit a report/manuscript of their work to be published in the special MESS 2020 Volume of the AIRO Springer Series. ** METAHEURISTICS COMPETITION CHAIRS + Raffaele Cerulli, University of Salerno, Italy + Andrea Schaerf, University of Udine, Italy ** SHORT TALK & POSTER PRESENTATION All participants may submit an abstract of their recent results, or works in progress, for presentation and having the opportunities for debate and interact with leaders in the field. Mini-Workshop Organizers and Scientific Committee will review the abstracts and will recommend for the format of the presentation (oral or poster). All abstracts will be published on the electronic hands-out book of the summer school. The Abstracts must be submitted by *March 5, 2020*. ** WORKSHOP CHAIRS + Vincenzo Cutello, University of Catania, Italy + Paola Festa, University of Naples ?Federico II?, Italy + Isaac Triguero, University of Nottingham, UK *See Previous Edition - MESS 2018* https://www.ants-lab.it/mess2018/ ** MORE INFORMATION: https://www.ANTs-lab.it/mess2020/ -- mess.school(a)ANTs-lab.it Facebook Group: https://www.facebook.com/groups/MetaheuristicsSchool/ Twitter: https://twitter.com/MESS_school

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Paper Deadline Approaching: PDSEC-20 Workshop (with IPDPS-20)
by Shontz, Suzanne Michelle 18 Jan '20

18 Jan '20

Dear All: The deadline is approaching for papers to be submitted to the 21st IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC-20). See http://cse.stfx.ca/~pdsec20/ . It will be held on May 22, 2020 in New Orleans in conjunction with IPDPS 2020. Deadline: PDSEC-20 deadline: 31 Jan 2020 (AoE) Scope and Interests: The technological trends in HPC system evolution indicates an increasing burden placed on application developers due to the management of the unprecedented complexity levels of hardware and its associated performance characteristics. Many existing scientific applications codes are unlikely to perform well on future systems without major modifications or even complete rewrites. In the future, it will be necessary to utilize, in concert, many characteristics such as multiple levels of parallelism, many lightweight cores, complex memory hierarchies, novel I/O technology, power capping, system-wide temporal/spatial performance heterogeneity and reliability concerns. The parallel and distributed computing community has developed new programming models, algorithms, libraries and tools to meet these challenges in order to accommodate productive code development and effective system use. However, the scientific application community still needs to identify the benefit through practical evaluations. Thus, the focus of this workshop is on methodologies and experiences used in scientific and engineering applications and algorithms to achieve sustainable code development for better productivity, application performance and reliability. Important Dates: Paper submission due . . . . . . . . . . . . . . January 31, 2020 Notification of Acceptance . . . . . . . . . . . March 06, 2020 Final camera-ready paper . . . . . . . . . . . . March 15, 2020 Workshop . . . . . . . . . . . . . . . . . . . . May 22, 2020 General Chairs Raphael Couturier, University of Franche-Comte, France Peter Strazdins, Australian National University, Australia Program Chairs Eric Aubanel, University of New Brunswick, Canada Sabine Roller, University of Siegen, Germany Publicity Chair Suzanne Michelle Shontz, University of Kansas, USA Steering Committee Thomas Rauber, University of Bayreuth, Germany Gudula Runger, Chemnitz University of Technology, Germany Laurence T. Yang (Chair), St. Francis Xavier University, Canada Best regards, Suzanne Suzanne Shontz Associate Professor Department of Electrical Engineering and Computer Science Bioengineering Program Information and Telecommunication Technology Center University of Kansas Lawrence, KS 66045

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computational.science January 2020