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Call for Workshop Papers and Student Research Symposium: 25th IEEE Intl Conf on High Performance Computing, Data, and Analytics (HiPC)
by Anand Panangadan 08 Aug '18

08 Aug '18

25th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC 2018) December 17-20, 2018 Bengaluru, India www.hipc.org 2018 marks the Silver Anniversary of IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC). The conference has a history of attracting participation from reputed researchers from all over the world and receives strong industry support from companies operating globally and also established in India. In addition to the two days of industry exhibits, the sponsoring partners to the conference hold industry symposiums to bring together providers and users of HPC in a forum for presenting state-of-the-art in HPC platforms and technologies, for discussing best practices, and for exchanging experiences. CALL FOR WORKSHOP PAPERS Complementing the main technical program, HiPC workshops serve to broaden the technical scope of the conference in emerging areas of high performance computing, communication, data and analytics and their applications. Below is the listing of the workshops to be held on the first day of the conference, December 17. • Fourth Workshop on Computational Fluid Dynamics (CFD) • Workshop on Artificial Intelligence Meets Blockchain (AIMB) • First Workshop on the Convergence of High Performance Computing and Artificial Intelligence • Women in Data Science and High Performance Computing • Parallel Fast Fourier Transforms See details at http://hipc.org/workshops for workshop paper submission deadlines and formatting requirements. STUDENT RESEARCH SYMPOSIUM (SRS) SRS is 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 symposium will feature student posters and provide students with other enriching experiences, such as workshops, industry exhibits, and demos. http://hipc.org/student-research-symposium/ ------------------------------------------------------------------------------------------------ Follow us on Twitter https://twitter.com/hipcconf Google+ https://plus.google.com/+HipcOrg Facebook https://www.facebook.com/hipc.conference/ LinkedIn https://www.linkedin.com/groups/53197/profile SPONSORSHIP: •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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[CFP] IA^3 2018 - Deadline approaching & ACM TOPC special Issue
by Tumeo, Antonino 08 Aug '18

08 Aug '18

[Apologies if you receive multiple copies of this CFP] IA^3 2018 8th Workshop on Irregular Applications: Architectures and Algorithms http://hpc.pnl.gov/IA3 In Conjuction with SC18 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, sparse matrices, deep nets, tables, 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. -------------------- Important Dates -------------------- Abstract Submission: August 22, 2018 Position or Regular Paper Submission: August 29, 2018 Notification: September 28, 2018 Camera-ready: October 10, 2018 Workshop: November 12, 2018 Submissions Submission site: https://submissions.supercomputing.org<https://submissions.supercomputing.org/> 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. Authors of regular papers will be able to provide up to one (1) additional pages for the Artifact Description (AD) appendix and, after paper acceptance, up to two (2) additional pages for the Artifact Evaluation (AE) appendix. The workshop proceedings will be published through IEEE TCHPC and will be included in the IEEE Xplore digital library. The templates are available at: http://www.ieee.org/conferences_events/conferences/publishing/templates.html. -------------------- Artifact Description & Evaluation -------------------- This edition of the workshop invites authors of regular papers to follow a reproducibility initiative like the main SC Conference, with specific appendices for the Artifact Description (AD) and the Artifact Evaluation (AE). Please refer to the SC reproducibility page for further details on the rationale behind AD and AE: https://sc18.supercomputing.org/submit/sc-reproducibility-initiative/. Authors of regular papers will be able to use up to one (1) additional page to provide an Artifact Description (AD) Appendix, describing the details of their software environments and computational experiments to the extent that an independent person could replicate their results. This additional page is voluntary, and must focus only on details on software environments and methods to execute the experiments. It should not add details on the proposed technical approaches. If a paper has no computational results, the appendix only needs to mention that computational results are not part of the paper. Additionally, authors of accepted regular papers will be invited to formally submit their supporting materials to the Artifact Evaluation (AE) process. The process is voluntary, but authors that will participate in the AE will be eligible for the Best Paper Award of the workshop. Supporting materials for the AE include access to the actual software artifact, shared pubblicly (for example, through the CK - Collective Knowledge - https://github.com/ctuning/ck format), and two (2) further additional pages of the paper that details how to reproduce the results of the paper. For details on how to submit supporting materials to the AE process, please refer to: http://ctuning.org/ae/submission.html. Authors participating in the AE will receive an assessment of the artifact, and the related badge on their paper. For any additional question on the AD and the AE please contact the Artifact Evaluation Chair Flavio Vella at flavio(a)dividiti.com<mailto:flavio@dividiti.com>. -------------------- ACM TOPC Special Issue -------------------- Authors interested in the topics of the workshop are also invited to submit papers to the thematic Special Issue on Innovations in Systems for Irregular Applications of ACM Transactions on Parallel Computing (TOPC). We invite, in particular, authors of papers accepted to previous editions of the workshop, as well as authors of accepted papers to the upcoming edition, to submit exteded versions of their paper. Deadline for the submission to the special issue is October 31, 2018, i.e., after the notification for this year edition of the workshop, but slightly before the workshop itself. For more information on the TOPC Special Issue on Innovations in Systems for Irregular Applications, including details on submissions and important dates, please consult the following link: http://hpc.pnl.gov/TOPCSI/. -------------------- Organizers -------------------- Antonino Tumeo (PNNL), antonino.tumeo(a)pnnl.gov<mailto:antonino.tumeo@pnnl.gov> John Feo (PNNL/NIAC), john.feo(a)pnnl.gov<mailto:john.feo@pnnl.gov> Vito Giovanni Castellana (PNNL), vitoGiovanni.castellana(a)pnnl.gov<mailto:vitoGiovanni.castellana@pnnl.gov> -------------------- Proceedings Chair -------------------- Marco Minutoli (PNNL and WSU), marco.minutoli(a)pnnl.gov<mailto:marco.minutoli@pnnl.gov> -------------------- Artifact Evaluation Chair -------------------- Favio Vella (DIVIDITI), flavio(a)dividiti.com<mailto:flavio@dividiti.com> -------------------- Technical Program Committee -------------------- Nesreen Ahmed, Intel, US Kubilay Atasu, IBM Zurich, CH Scott Beamer, LBNL, US Michela Becchi, North Carolina State University, US Sanjukta Bhowmick, University of Nebraska Omaha, US Erik Boman, SNL, US David Brooks, Harvard University, US Aydin Buluc, LBNL, US Joe Eaton, NVIDIA, US Rajiv Gupta, UC Riverside, US Arif Khan, PNNL, US Farzad Khorasani, Georgia Tech, US Peter M. Kogge, University of Notre Dame, US Manoj Kumar, IBM TJ Watson, US John Leidel, Tactical Computing Labs, US Kamesh Madduri, Pennsylvania State University, US Naoya Maruyama, LLNL, US Miquel Moretó, Barçelona Supercomputing Center, ES Maxim Naumov, Facebook, US Fanny Nina-Paravecino, Northeastern University, US Sreepathi Pai, Rochester University, US Roger Pearce, LLNL, US Miquel Pericas, Chalmers University of Technology, SE Keshav Pingali, University of Texas at Austin, US Viktor K. Prasanna, University of Southern California, US Jason Riedy, Georgia Tech, US John Shalf, LBNL, US Shaden Smith, Intel, US Edgar Solomonik, University of Illinois at Urbana-Champaign, US Bora Uçar, French National Center for Scientific Research, FR Ruud van der Pas, Oracle, NL Ana Lucia Varbanescu, University of Amsterdam, NL Cheng Wang, Microsoft, US

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CFP: IEEE BDCloud2018 (Big Data and Cloud Computing), Dec. 2018, Melbourne, Australia
by Arne Wilston 08 Aug '18

08 Aug '18

Call for papers: The 8th IEEE International Conference on Big Data and Cloud Computing ( BDCloud2018), 11-13 Dec. 2018, Melbourne, Australia. Website: http://www.swinflow.org/confs/2018/bdcloud/ Key dates: Submission Deadline: August 31, 2018 (11:59pm UTC/GMT, firm) Notification: September 30, 2018 Final Manuscript Due: October 15, 2018 Submission site: http://www.swinflow.org/confs/2018/bdcloud/submission.htm Publication: Proceedings will be published by IEEE CS Press. Special issues: Distinguished papers will be selected for special issues in Information Sciences, Future Generation Computer Systems, Journal of Parallel and Distributed Computing, Concurrency and Computation: Practice and Experience =========== Introduction Big data is an emerging paradigm applied to datasets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time. Such datasets are often from various sources (Variety) yet unstructured such as social media, sensors, scientific applications, surveillance, video and image archives, Internet texts and documents, Internet search indexing, medical records, business transactions and web logs; and are of large size (Volume) with fast data in/out (Velocity). More importantly, big data has to be of high value (Value) and establish trust in it for business decision making (Veracity). Cloud computing is positioning itself as an emerging platform for delivering information infrastructures and resources as IT services. Customers (enterprises or individuals) can provision and deploy Cloud services via pay-as-you-go pricing models saving huge capital investments in their own IT infrastructures. As estimated by IDC, by 2020, about 40% data globally would be touched with Cloud Computing. Cloud Computing provides strong storage, computation and distributed capability in support of Big Data processing. BDCloud (Big Data and Cloud Computing) was created to provide a prime international forum for researchers, industry practitioners and domain experts to exchange the latest advances in Big Data and Cloud Computing as well as their synergy. Scope and Topics Topics of particular interest include, but are not limited to: · Fundamentals of cloud computing · Architectural cloud models · Programming cloud models · Provisioning/pricing cloud models · Data storage and computation in cloud computing · Resource and large-scale job scheduling in cloud computing · Security, privacy, trust, risk in cloud and big data · Fault tolerance and reliability in cloud computing · Access control to cloud computing · Resource virtualisation · Monitoring and auditing in cloud · Scalable and elastic cloud services · Social computing and impacts on the cloud · Innovative HCI and touch-screen models and technologies to cloud · Mobile commerce, handheld commerce and e-markets on cloud · Intelligent/agent-based cloud computing · Migration of business applications to cloud · Energy efficient cloud architecture · Energy aware data storage and computation in cloud computing · Energy aware scheduling, monitoring, auditing in cloud · Green Cloud · Cloud use case studies · Big Data theory, applications and challenges · Big Data mining and analytics on Cloud · Big Data Infrastructure, MapReduce and Cloud Computing · Big Data visualization · Large data stream, incremental datasets on cloud · Distributed and federated datasets · NoSQL data stores and DB scalability · Big Data sharing, security, privacy and trust · Big Data placement, scheduling, and optimization · Distributed file systems for Big Data · Big Data processing, resource scheduling and SLA on Cloud · Performance characterization, evaluation and optimization · Simulation and debugging of Big Data systems · Volume, Velocity, Variety, Value and Veracity of Big Data · Storage and computation management of Big Data · Large-scale workflow management in Big Data · Data management and distributed data systems · Big data applications Submission Guidelines Submissions must include an abstract, keywords, the e-mail address of the corresponding author and should not exceed 8 pages for main conference, including tables and figures in IEEE CS format. The template files for LATEX or WORD can be downloaded here. All paper submissions must represent original and unpublished work. Each submission will be peer reviewed by at least three program committee members. Submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one of the authors will register for the conference and present the work. Submit your paper(s) in PDF file at the submission site: http://www.swinflow.org/confs/2018/bdcloud/submission.htm. Publications Accepted and presented papers will be included into the IEEE Conference Proceedings published by IEEE CS Press. Authors of accepted papers, or at least one of them, are requested to register and present their work at the conference, otherwise their papers may be removed from the digital libraries of IEEE CS and EI after the conference. Distinguished papers will be selected for special issues in Information Sciences, Future Generation Computer Systems, Journal of Parallel and Distributed Computing, Concurrency and Computation: Practice and Experience. General Chairs Xuemin Lin, The University of New South Wales, Australia Rajkumar Buyya, The University of Melbourne, Australia Laurence Yang, St. Francis Xavier University, Canada Program Chairs Zahir Tari, RMIT University, Australia Kim-Kwang Raymond Choo, The University of Texas at San Antonio, USA Vladimir Vlassov, KTH Royal Institute of Technology, Sweden Program Co-Chairs Lina Yao, University of New South Wales, Australia Hongzhi Yin, The University of Queensland, Australia Weiqing Wang, Monash University, Australia Workshop Chairs Muhammad Ali Babar, University of Adelaide, Australia Jian Cao, Shanghai Jiaotong University, China Rafael Tolosana, University of Zaragoza, Spain

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4th Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC 2018) at SC18: Extended abstracts due Aug. 15
by Jason D. Bakos 07 Aug '18

07 Aug '18

========================================================================== ** Call for Papers ** ========================================================================== Fourth International Workshop on Heterogeneous High-performance Reconfigurable Computing (H^2RC) ========================================================================== Held in conjunction with Supercomputing 2018 Sunday Morning, November 11, 2018 Dallas, TX http://h2rc.cse.sc.edu ========================================================================== Submission Deadline: August 15, 2018 (1 to 4 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 its fourth year, brings together HPC and heterogeneous-computing researchers to demonstrate and share experiences on how newly-available high-level programming models, including OpenCL, are already empowering HPC software developers to directly leverage FPGAs, and to identify future opportunities and needs for research in this area. ========================================================================== Topics ========================================================================== Submissions are solicited that explore the state of the art in the use of FPGAs in heterogeneous high-performance compute 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. A non-comprehensive list of potential topics of interest is given below: 1. FPGAs in the cloud and data center 2. Cloud and data center applications 3. Leveraging reconfigurability 4. Benchmarks 5. Implementation studies 6. Programming languages, tools, and frameworks 7. Future-gazing 8. Community building ========================================================================== Special theme for 2018 ========================================================================== For this year's workshop we especially encourage the submission of papers on the topic of FPGA-based support for non-volatile memory and near-memory computing. Non-volatile memory (NVM) technologies such as Flash and Phase-Change memory potentially facilitate shared storage in the microsecond regime. In emerging systems, NVM may serve as a new level of memory hierarchy or as a networked resource. To this end, early work in developing both system-level interfaces to NVM (such as NVMe) and network-level interfaces to NVM (such as RDMA over Converged Ethernet 2) rely heavily on FPGAs as low-latency intermediaries. ========================================================================== Prospective authors are invited to submit relevant contributions as an extended abstract in ACM SIG Proceedings format of up to four pages. You can submit your contribution(s) through a link on the H2RC website: http://h2rc.cse.sc.edu The authors of accepted papers will be invited to present their work at the workshop. ========================================================================== Important dates: ========================================================================== Submission Deadline: August 15, 2018 Acceptance Notification: September 18, 2018 Camera-ready Manuscripts Due: October 15, 2018 Workshop Date: November 11, 2018 ========================================================================== Workshop Format: ========================================================================== H2RC is a half-day Sunday workshop. It will be comprised of: -- Keynote and invited talks -- Talks selected among paper submissions ========================================================================== Organizing Committee: ========================================================================== Michaela Blott, Xilinx Franck Cappello, Argonne National Lab Torsten Hoefler, ETH Zurich Jason D. Bakos, University of South Carolina ========================================================================== Technical Program Committee: ========================================================================== Rizwan Ashraf, Oak Ridge National Laboratory Paul Chow, University of Toronto Hans Eberle, NVIDIA Ken Eguro, Microsoft Research Xin Fang, Northeastern University Alan George, University of Pittsburgh Christoph Hagleitner, IBM Zheming Jin, Argonne National Lab Andreas Koch, TU Darmstadt Miriam Leeser, Northeastern University Chistian Plessl, University of Paderborn Viktor Prasanna, University of Southern California Marco Santambrogio, Politecnico Di Milano Yaman Umuroglu, Xilinx Research -- 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: IEEE ISPA2018 (Parallel and Distributed Processing with Applications), Dec. 2018, Melbourne, Australia
by Jesson Butt 07 Aug '18

07 Aug '18

Call for papers: The 16th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA 2018), 11-13 Dec. 2018, Melbourne, Australia. Website: http://www.swinflow.org/confs/2018/ispa/ Key dates: Submission Deadline: August 31, 2018 (11:59pm UTC/GMT, firm) Notification: September 30, 2018 Final Manuscript Due: October 15, 2018 Submission site: http://www.swinflow.org/confs/2018/ispa/submission.htm Publication: Proceedings will be published by IEEE CS Press. Special issues: Distinguished papers will be selected for special issues in Information Sciences, Future Generation Computer Systems, Journal of Parallel and Distributed Computing, Concurrency and Computation: Practice and Experience =========== Introduction The IEEE ISPA 2018 (16th IEEE International Symposium on Parallel and Distributed Processing with Applications) is a forum for presenting leading work on parallel and distributed computing and networking, including architecture, compilers, runtime systems, applications, reliability, security, parallel programming models and much more. During the symposium, scientists and engineers in both academia and industry are invited to present their work on concurrent and parallel systems (multicore, multithreaded, heterogeneous, clustered systems, distributed systems, grids, clouds, and large scale machines). The 16th IEEE ISPA follows the tradition of previous successful IEEE ISPA conferences in the years from 2003 to 2017 in Asia, Europe, Australia and North America. It will feature sessions of regular presentations, workshops, tutorials and keynote speeches. IEEE ISPA 2018 is sponsored by the IEEE Technical Committee on Scalable Computing (TCSC) and the IEEE Computer Society. IEEE ISPA is particularly interested in research addressing heterogeneous computing with the use of accelerators, mobile computing, approximate computing, tools and methodologies to improve the quality of parallel programming and applying generic computing approaches to networks, in particular Software Defined networking and its applications. Scope and Topics *(1) Systems and Architectures Track* - Cloud computing and data center technology - Migration of computations - Multi-clouds environments, cloud federation, interoperability - Energy management and Green Computing - Wireless and mobile networks - Internet-Of-Things (IoT) - Social Networks, crowdsourcing, and P2P systems *(2) Technologies and Tools Track* - Building block processors: FPGA, multicore, GPU, NoC, SoC - Parallel and distributed algorithms - Tools/environments for parallel/distributed software development - Novel parallel programming paradigms - Programming models for cloud services and applications - Code generation and optimization - Compilers for parallel computers - Middleware and tools - Scheduling and resource management - Performance simulations, measurement, and evaluations - Reliability, fault tolerance, dependability, and security *(3) Applications Track* - High-performance scientific and engineering computing - Grid and cluster computing - Pervasive and ubiquitous computing - Databases, data mining, and data management - Big data and business analytics - Scientific cloud systems and services - Internet computing and web services - Application scenarios of IoT and ubiquitous computing - Experience with computational, workflow and data-intensive applications - Software Defined Networks and its applications Submission Guidelines Submissions must include an abstract, keywords, the e-mail address of the corresponding author and should not exceed 8 pages for main conference, including tables and figures in IEEE CS format. The template files for LATEX or WORD can be downloaded here. All paper submissions must represent original and unpublished work. Each submission will be peer reviewed by at least three program committee members. Submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one of the authors will register for the conference and present the work. Submit your paper(s) in PDF file at the submission site: http://www.swinflow.org/confs/2018/ispa/submission.htm. Publications Accepted and presented papers will be included into the IEEE Conference Proceedings published by IEEE CS Press. Authors of accepted papers, or at least one of them, are requested to register and present their work at the conference, otherwise their papers may be removed from the digital libraries of IEEE CS and EI after the conference. Distinguished papers will be selected for special issues in Information Sciences, Future Generation Computer Systems, Journal of Parallel and Distributed Computing, Concurrency and Computation: Practice and Experience. Honorary Chairs Wanlei Zhou, Deakin University, Australia Albert Zomaya, The University of Sydney, Australia General Chairs Geoffrey Fox, Indiana University, USA Beniamino Di Martino, Universita' della Campania "Luigi Vanvitelli", Italy Laurence Yang, St. Francis Xavier University, Canada Program Chairs Mianxiong Dong, Muroran Institute of Technology, Japan Rajiv Ranjan, Newcastle University, UK Massimo Cafaro, University of Salento, Lecce, Italy Workshop Chairs Young Choon Lee, Macquarie University, Australia Wei Zheng, Xiamen University, China

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Call For Papers: The 2nd International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention 2018
by Andrii Shalaginov 06 Aug '18

06 Aug '18

Dear Colleague, (Apologies for multiple postings) Following the positive feedback and great interest last year, we are delighted to announce the 2nd International Workshop on Big Data Analytic for Cybercrime Investigation and Prevention, co-located with IEEE Big Data conference in Seattle, USA on 10-13 December, 2018. Workshop webpage: https://sites.google.com/view/bdaccip2018 *** IMPORTANT DATES *** Oct 10, 2018: Due date for full workshop paper submissions Nov 1, 2018: Notification of paper acceptance to authors Nov 15, 2018: Latest due date for camera-ready of accepted papers Dec 10-13, 2018: Workshops *** INTRODUCTION *** The big data paradigm has become an inevitable aspect of today's digital forensics investigations. Acquiring a forensic copy of seized data mediums already takes several hours due to the increasing storage size. In addition are several other time-consuming laboratory analysis steps required, such as evidence identification, corresponding data preprocessing, analysis, linkage, and final reporting. These steps have to be repeated for every physical device examined in the criminal case. Conventional digital forensics data preprocessing and analysis methods struggle when handling the contemporary variety, variability, volume and velocity of case data. Thus, proactive approaches have to be developed and integrated in daily law enforcement operations; for timely detection and prevention of the illegal activities in a data-intensive environments. Thus, there is a need for advanced big data analytics to aid in cyber crime investigations, which requires novel approaches for automated analysis. This workshop is organized to bring together recent development in big data analysis to aid in current challenges in cybercrime investigations. *** PROPOSED TOPICS *** Note that the topics are not limited to this proposed list. 1. Algorithm areas - Machine Learning-aided analysis - Graph-based detection - Topic modelling - Improvements of existing methods - Decision Support Systems 3. Data - Novel datasets - New data formats - Digital Forensics data simulation - Anonymised case data - New data formats and taxonomies 2. Application areas - Cyber Threats Intelligence - Network Forensics Readiness - Malware Analysis & Detection - Emails mining & Authorship Identification - Social Network Mining - Events correlations - Access Logs analysis - Mobile Forensics - Fraud Detection - Database Forensics - IoT Forensics - Blockchain technologies - Industrial systems 4. Infrastructure - Secure collaborative platforms - Distributed storage and processing - Technologies for data streams - Hardware and software architectures for large-scale data *** 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 *** Olaf M. Maennel (Tallinn University of Technology) Asif Iqbal (KTH Royal Institute of Technology) Bojan Kolosnjaji (Technical University of Munich) Martin Boldt (Blekinge Institute of Technology) Hanno Langweg (Konstanz University of Applied Sciences) Pierre Lison (Norwegian Computing Centre) Emiliano Casalicchio (Blekinge Institute of Technology) Dmitry Kangin (University of Exeter) Ali Dehghantanha (University of Guelph) Bing Zhou (Sam Houston State University) Vasileios Mavroeidis (University of Oslo) Sreyasee Das Bhattacharjee (University of North Carolina at Charlotte) Shih-Chieh Su (‎Qualcomm Inc) Benjamin Flesch (Copenhagen Business School) Jan-Jaap Oerlemans (Universitet Leiden) Peter Xenopoulos (New York University) *** 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/2018/bigdata18/scripts/submit.php?subarea=S07… Papers have to follow the IEEE 2-column format and the Computer Society Proceedings Manuscript Formatting Guidelines. ***PUBLICATION*** The authors of accepted papers must guarantee their presence at the conference for the papers to be published in the conference proceedings. At least one author of each accepted paper must register for the conference in order to include the paper in the proceedings. *** 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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*Deadline extension (Aug.10)* JIST2018:The 8th Joint International Semantic Technology Conference (Nov. 26-28, Awaji City, Hyogo, Japan)
by Kouji Kozaki 04 Aug '18

04 Aug '18

We have extended the deadline because we received many requests. The new deadline is as follow. -Abstract submission: 23:59 (Hawaii Time), 10 August, 2018 -Full paper submission: 23:59 (Hawaii Time), 17 August, 2018 Please consider to submit your paper! -------------------------------------------------------------------- *** Call for Papers: JIST 2018 Regular Technical Papers *** JIST2018: The 8th Joint International Semantic Technology Conference Nov. 26-28, 2018, Awaji City, Hyogo, Japan. http://jist2018.knowledge-graph.jp * Abstract submission due: 10 August, 2018 <extended> * Paper submission due: 17 August, 2018 <extended> -------------------------------------------------------------------- The mission of the Joint International Semantic Technology Conference (JIST) is to bring together researchers in the Semantic Technology research community and other areas of semantic-related technologies to present their innovative research results or novel applications of semantic technologies. There are two tracks in JIST 2018 for Regular Technical Papers. *** Research Track *** JIST 2018 research track solicits submissions of original research work on semantic technologies. Topics of interest include, but are not limited to: -Ontology and reasoning -Knowledge graph -Linked Data -Big Data and semantics, exchange and integration -Data streams and the Internet of Things -Machine learning and information extraction on the Semantic Web -Semantic Web services and processes -Trust, privacy, and security on the Semantic Web -Social Semantic Web -Natural language processing and semantics -Semantic multimedia -Novel applications of semantic technologies *** Special Session Track *** JIST 2018 special session track to discover and implement special topics that researchers in Semantic Technology are particularly interested in. We also intend to facilitate participation of potentially-related researchers in the JIST conference. Topics of special sessions are as follows: - Special Session on Government Open Data http://jist2018.knowledge-graph.jp/pages/calls/government_open_data.html - Special Session on Question Answering and ChatBots http://jist2018.knowledge-graph.jp/pages/calls/qa_chatbots.html - Special Session on Resource-aware Semantic Technologies http://jist2018.knowledge-graph.jp/pages/calls/resource-aware_semantic_tech… - Special Session on Semantic Web for Life Sciences http://jist2018.knowledge-graph.jp/pages/calls/sw_for_life_sciences.html *** Important Dates *** -Abstract submission: 23:59 (Hawaii Time), 10 August, 2018 <Extended> -Full paper submission: 23:59 (Hawaii Time), 17 August, 2018 <Extended> -Notification of Acceptance: 14 September, 2018 -Camera-ready Deadline: 24 September, 2018 -Conference: 26-28 November, 2018 *** Submission *** Submissions to JIST 2018 should describe original, significant research on semantic technologies. JIST 2018 will not accept submissions that are under review for or have already been published in or accepted for publication in a journal or another conference (*). * Non peer-reviewed documents such as theses, tech reports, publications on preprint server (e.g. arXiv.org) are not considered prior publications. Thus JIST2018 authors are not precluded to submit papers on the same topic by the same authors. Submissions to JIST 2018 are expected to present their claimed contribution, with clear evidence to support their claims. All submissions will be critically reviewed by at least three members of the program committee of either research track or special session track. To assess submissions, reviewers will judge their relevance to semantic technologies, their originality, the technical soundness of their proposed approach and the readability of the submission. JIST 2018 submissions are not anonymous. Submissions must be in PDF format, using the style of the Springer Publications format for Lecture Notes in Computer Science (LNCS). Regular paper submissions must be no longer than 16 pages, and short paper submissions must be no longer than 8 pages. Submissions that exceed this limit may be rejected without review. Accepted papers of both research track and special session track will be published in an LNCS proceedings. At least one author of each accepted paper must register for the conference and present the paper there. Papers can be submitted electronically via EasyChair. https://easychair.org/conferences/?conf=jist2018 * Please select the corresponding track(s) when you submit your paper(s). *** Recommendation to Journal *** A number of best papers accepted at JIST 2018 will be invited to present at the Meet the Editor session of SCI indexed journals, including International Journal on Semantic Web and Information Systems (IJSWIS), for fast-track publication in a special issue in these journals. Up to five papers will be selected and published. *** Organizing Committee *** -General Chairs Stephen Muggleton, Imperial College London, UK Kouji Kozaki, Osaka University, Japan -Program Chairs Ryutaro Ichise, National Institute of Informatics, Japan Freddy Lecue, Accenture Labs, Dublin, Ireland / INRIA, Sophia Antipolis, France -Special Session Track Chairs Dongyan Zhao, Peking University, China Takahiro Kawamura, Japan Science and Technology Agency, Japan -Local Organizing Chair Atsuko Yamaguchi, Database Center for Life Science, Japan -Poster and Demo Chairs Hanmin Jung, KISTI, Korea Shinichi Nagano, TOSHIBA corp., Japan -Workshop Chairs Marut Buranarach, NECTEC, Thailand Ikki Omukai, National Institute of Informatics, Japan -Tutorial Chairs Naoki Fukuta, Shizuoka University, Japan -Sponsorship Chair Takanori Ugai, Fujitsu Laboratories, Japan -Publicity Chairs Takeshi Morita, Keio University, Japan Guohui Xiao, Free University of Bozen-Bolzano, Italy -------------------------------------------------------------------- JIST 2018 Organize Committee Website: http://jist2018.knowledge-graph.jp/ Twitter: @jist2018 Contact: JIST2018<at>knowledge-graph.jp

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Job Openings: Postdoctoral Research Fellow & Research Assistant at University Research Cluster on Data Analytics and Artificial Intelligence (AI) in X of HKBU
by COMP HKBU 03 Aug '18

03 Aug '18

The university research cluster on Data Analytics and Artificial Intelligence (AI) in X <http://hkbu.ai/> of Hong Kong Baptist University (HKBU) <http://www.hkbu.edu.hk/> is developing cutting-edge technologies on AI towards interdisciplinary research. The university’s AI cluster is now seeking outstanding applicants for the posts of Postdoctoral Research Fellow and Research Assistant to work on a collaborative project between the Department of Computer Science and School of Chinese Medicine. The aim of the project is to develop computational methods to explicitly model the multi-level regulatory network evolution in inflammation-induced cancer by analysing multiple, heterogeneous ‘omics’ data. *1. Postdoctoral Research Fellow (PR0029/18-19) * The primary responsibilities for the candidates are to develop novel algorithms to model and analyse evolving multi-level regulatory network. The candidates are expected to have a PhD degree in computer science, electronic engineering, bioinformatics or a related field and sufficiently demonstrate abilities to conduct high-quality research in one of the following areas: (i) probabilistic graphical model; (ii) evolving network/graph analytics and mining; (iii) biomedical data mining. Proficiency in data mining and machine learning techniques and programming (e.g., Python, R, or MATLAB) is essential. Experience with ‘omics’ data analysis is a plus. Applicants should demonstrate great oral and written communication skills and the ability to effectively work in a multidisciplinary research team. Initial appointment will be made on a fixed term contract of up to two years, starting in the Fall of 2018. Re-appointment thereafter is subject to mutual agreement and availability of funding. *2. Research Assistant (PR0030/18-19) * The primary responsibilities for the candidates are to collect, preprocess ‘omics’ data and implement and evaluate proposed algorithms. The candidates are expected to have a BSc degree in computer science, electronic engineering, bioinformatics or a related field. Familiar with major data mining and machine learning techniques is required. Solid programing skills in one of the following languages: Java, C/C++, Python, R, MATLAB are essential. Experience with ‘omics’ data processing is a plus. Initial appointment will be made on a fixed term contract of one year, starting in the Fall of 2018. Re-appointment thereafter is subject to mutual agreement and availability of funding. For enquiry, please contact Dr. William Cheung (email: william [at] comp.hkbu.edu.hk). More information about the AI cluster can be found at http://hkbu.ai. *Salary will be commensurate with qualifications and experience.* *Application Procedure:* Applicants are invited to submit their applications at the HKBU e-Recruitment System (jobs.hkbu.edu.hk). Applicants not invited for interview 8 weeks after the closing date may consider their applications unsuccessful. Details of the University’s Personal Information Collection Statement can be found at http://pers.hkbu.edu.hk/pics. The University reserves the right not to make an appointment for the posts advertised, and the appointment will be made according to the terms and conditions then applicable at the time of offer. *Closing date: 31 August 2018 *or until the position is filled Application Links: Postdoctoral Research Fellow (PR0029/18-19) : http://pers.hkbu.edu.hk/index.php?page_id=6&job_id=4358&f=job_details Research Assistant (PR0030/18-19): http://pers.hkbu.edu.hk/index.php?page_id=6&job_id=4359&f=job_details

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High performance computing hardware workshop Bristol, UK - Call for Participation
by Jose Nunez-Yanez 03 Aug '18

03 Aug '18

11th of September, Bristol University, UK. Part of the Marionet UK Many-core Research Network This 1-day workshop includes invited presentations from industry and academia investigating how issues of performance and power have resulted in significant efforts done in new accelerator hardware designs and new ways to use available hardware originally not designed for HPC. Examples include novel use of embedded multi-core CPUs and hardware accelerators based on GPUs and FPGAs. Domain specific CPU architectures capable of delivering performance and ease of programmability are also the focus of intensive research and development together with innovative programming models and algorithms exploiting HPC hardware or software. The demand of techniques to handle the debugging and optimization of these systems are also increasing as the human capability of understanding complex software/hardware interactions reaches its limit. CALL FOR PARTICIPATION https://seis.bristol.ac.uk/~eejlny/nghpc/eehco.htm<https://fpl2018.org/> *************************************************************************** Registration Link (free, includes refreshments and lunch) https://www.eventbrite.com/e/workshop-on-next-generation-hardware-for-high-…<https://fpl2018.org/registration/> Workshop program is available at: https://seis.bristol.ac.uk/~eejlny/nghpc/program.htm Thanks, Jose Nunez-Yanez

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Bench'18 (Co-located with IEEE Big Data 2018) Call for Papers
by gaowanling 03 Aug '18

03 Aug '18

---Apologies if you receive multiple copies of this CFP--- Bench'18 (2018 International Symposium on Benchmarking, Measuring and Optimizing) Call for Papers URl: http://prof.ict.ac.cn/Bench18 Co-located with IEEE Big Data 2018 December 10-13, 2018, Seattle, WA, USA Introduction Benchmarking, measuring, and optimizing are fundamental activities in human being’s lives. This symposium (Bench 18) is dedicated to benchmarking, measuring, and optimizing complex systems, including (but not limited to) Big Data, AI, chainblock, datacenter, cloud and warehouse-scale computing, high performance computing, Mobile Robotics, edge and frog computing，Big Scientific data, IoT, and the other miscellaneous things, i.e., education systems, financial systems, and power systems. In addition, we encourage publishing benchmark specifications and the summaries of the open-source benchmarking projects. Improtant Dates There are two submission opportunities: Deadline for authors who need a U.S. visa TimeEvent August 20, 2018Electronic submission of full papers Oct 9, 2018Notification of paper acceptance Nov 25, 2018Camera-ready of accepted papers Dec 10-12, 2018Conference Deadline for authors who do not need a U.S. visa TimeEvent Sep 20, 2018Electronic submission of full papers Nov 9, 2018Notification of paper acceptance Nov 25, 2018Camera-ready of accepted papers Dec 10-12, 2018Conference Paper Submission https://wi-lab.com/cyberchair/2018/bigdata18/scripts/submit.php?subarea=SP0… Papers should be no more than 10 pages, and be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines (see link to "formatting instructions" below). Formatting Instructions 8.5" x 11" (DOC,PDF) LaTex Formatting Macros Topics of Interest We solicit papers in all areas related to benchmarking, measuring, and optimizing systems. Topics of interest include (but are not limited to): Big data domains Artificial intelligence NewSQL and distributed database systems Blockchain Datacenter, cloud and warehouse-scale computing High performance computing Mobile Robotics Edge and fog computing Big scientific data Internet of Things (IoT) Education, financial and power system Program Committee Lizy K. John, The University of Texas at Austin USA Vijay Janapa Reddi, University of Texas at Austin USA and Google Wenguang Chen, Tsinghua University China Yunji Chen, ICT, CAS China Piotr Luszczek, University of Tennessee USA Rui Hou, Institute of Information Engineering, CAS China Yueguo Chen, Renmin University of China H. Peter Hofstee, IBM USA Cheqing Jin, East China Normal University China Junzhao Du, Xidian University China Hyogi Sim, Oak Ridge National Laboratory USA Weining Qian, East China Normal University China Zheng Cao, Alibaba China Matthias Nicola, IBM Germany Zhihui Du, Tsinghua University China Bin Ren, College of William and Mary USA Hua Chen, ICT, CAS China Jiaquan Gao, Nanjing Normal University China Jiannan Ouyang, Facebook USA Xueming Si, Fudan University China Yanjun Wu, Institute of Software Chinese Academy of Sciences China Lucas Mello Schnorr, Federal University of Rio Grande do Sul (UFRGS) Brazil Yunquan Zhang, ICT, CAS China Shengzhong Feng, Shenzhen Institutes of Advanced Technology, CAS China Zhen Jia, Princeton University USA Zhibin Yu, Shenzhen Institutes of Advanced Technology, CAS China Dapeng Wang, Institute of Software Chinese Academy of Sciences China Bo Wu, Colorado School of Mines USA Shaoliang Peng, National University of Defense Technology China Yong Qi, Xi'an jiaotong University China Gwangsun Kim, Arm Inc., Austin, Texas USA Zujie Ren, Hangzhou Dianzi University China Xiaoyi Lu, The Ohio State University USA Lei Wang, ICT, CAS China Jianhui Li, Computer Network Information Center, CAS China Jianwu Wang, University of Maryland, Baltimore County USA Kenli Li, Hunan University China Rui Han, ICT, CAS China Jungang Xu, Chinese academy of sciences China Xu Liu, College of William and Mary USA Tong Wu, National Institute of Metrology, China Li ZHA, University of the Chinese Academy of Sciences Lei Liu, ICT, CAS China

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