March 2016 - hpc-announce - mailman3.cels.anl.gov

[Deadline Extension] Special Issue for Journal of Big Data Research: Tutorials of HPC Tools and Methods for Big Data
by Weijia Xu 30 Mar '16

30 Mar '16

CFP: Special Issue, Journal of Big Data Research: Tutorials of HPC Tools and Methods for Big Data Update: Submission deadline has been extended to Apr. 17 2016. ---------------------------------------------------------------------------------------- Special Issue on Tutorials of High Performance Computing Tools and Methods for Big Data ---------------------------------------------------------------------------------------- http://www.journals.elsevier.com/big-data-research/call-for-papers/special-… Driven by the big data analytics needs, new computing and storage technologies are developing rapidly and pushing for new high-end hardware geared toward big data problems. While the high performance computing technologies have the potential to greatly improve effectiveness of big data analytics, the cost and sophistications of those technology and limited initial application support often make them inaccessible to the end users and not fully utilized in academia years later. Meanwhile, comprehensive analytic software environment and platforms, such as R and Python, have become increasingly popular open-source platforms for data analysis. The software not only provides collection of analytic methods but also has the potential to utilize new hardware transparently and ease the efforts required from the end users. However, most data scientists have only had experience with small to medium-sized data; and now the size of Big Data poses its own challenges. It is therefore a critical issue to make the latest technology advancements in software and hardware accessible to the domain scientists in a timely manner. We are looking for contributions to a special issue for Journal of Big Data Research that present tutorials of high performance computing tools and methods for big data problem. About the Topics of InterestThe topics of interest include but are not limited to: - Adopting hardware technology, such as GPGPU, Xeon Phi etc, for Big Data analytics - Libraries and programming languages environment utilizing HPC for Big Data analytics - Novel software platforms and models for big data collection management - Service oriented architectures to enable data science - Software and platforms for big data analysis and visualization - Submission Format and Guideline All submitted papers should contain only original work, which has not been previously published nor is currently under review by any other journals or conferences. Clearly written in excellent English, papers must not exceed 25 pages (one-column, at least 11pt fonts) including figures, tables, and references. A detailed submission guideline is available as â€œGuide to Authorsâ€ at: http://www.journals.elsevier.com/big-data-research All manuscripts and any supplementary material should be submitted through Elsevier Editorial System (EES). The authors must select â€œArticle Typeâ€ when they reach the â€œArticle Typeâ€ step in the submission process. All papers will be peer-reviewed by three independent reviewers. Requests for additional information should be addressed to the guest editors (xwj(a)tacc.utexas.edu<mailto:[email protected]>) Editors in Chief B.C. Ooi Z. Wu Guest Editors Weijia Xu Tony Xiaohua Hu Victor Eijkhout Important dates Submission deadline: April 17 2016 Acceptance deadline: July 31 2016 Publication: October 1 2016

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IWOMP 2016 - Now Accepting Paper Submissions
by Naoya Maruyama 30 Mar '16

30 Mar '16

CALL FOR PAPERS: IWOMP 2016 - 12th International Workshop on OpenMP October 5-7, 2016 Nara, Japan http://www.iwomp.org == Background For many years, OpenMP has provided a very rich and flexible programming model for shared memory architectures. OpenMP 4.0 was a major advance that added two new forms of parallelism and OpenMP 4.5 added substantial improvements for them and other aspects of the specification. OpenMP now includes a rich set of device constructs to support heterogeneous systems like GPUs,FPGAs, DSPs, and SIMD constructs to support vector units in addition to the support for task-based parallelism that has been present since OpenMP 3.0. The International Workshop on OpenMP (IWOMP) is an annual workshop dedicated to the promotion and advancement of all aspects of parallel programming with OpenMP. It is the premier forum to present and discuss issues, trends, recent research ideas, and results related to parallel programming with OpenMP. We solicit submissions of unpublished technical papers detailing innovative, original research and development related to OpenMP. == Topics All topics related to OpenMP are of interest, including OpenMP performance analysis and modeling, OpenMP performance and correctness tools, proposed OpenMP extensions, and OpenMP applications in any domain (e.g., scientific and numerical computation, video games, computer graphics, multimedia, information retrieval, optimization, text processing, data mining, finance, signal and image processing and machine learning). Advances in technologies, such as multi-core processors and OpenMP devices (accelerators such as GPGPUs, DSPs or FPGAs), Multiprocessor Systems on a Chip (MPSoCs), and recent developments in OpenMP itself (e.g., devices) present new opportunities and challenges for software and hardware developers. Recent advances in the C, C++ and Fortran base languages also offer interesting opportunities and challenges to the OpenMP programming model. IWOMP 2016 particularly solicits submissions in these areas as well as ones that discuss how to apply OpenMP to additional models of parallelism such as event loops. == Paper Submission and Registration Submitted papers for review should be limited to 12 pages and follow LNCS guidelines. Submission deadline is May 18th, 2016. Submit your paper to: https://www.easychair.org/conferences/?conf=iwomp2016. Authors of accepted papers will be asked to prepare a final paper of up to 15 pages. As in previous years, IWOMP 2016 will publish formal proceedings of the accepted papers in Springer Verlag's LNCS series. == Important Dates Paper Submission Deadline: May 18th, 2016 Notification of acceptance: June 18th, 2016 Deadline for final version: July 8th, 2016 == Organizers General Chair: - Naoya Maruyama, RIKEN Advanced Institute for Computational Science, Japan Program Committee Co-chairs: - Naoya Maruyama, RIKEN Advanced Institute for Computational Science, Japan - Bronis R. de Supinski, Lawrence Livermore National Laboratory, USA

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CFP: Resilience@Euro-Par 2015 - Papers due May 6
by Christian Engelmann 29 Mar '16

29 Mar '16

We apologize if you receive multiple copies of this call for papers. ------------------------------------------------------------------------------------------------------------------------ 9th Workshop on Resiliency in High Performance Computing (Resilience) in Clusters, Clouds, and Grids in conjunction with the 22nd International European Conference on Parallel and Distributed Computing (Euro-Par), Grenoble, France, August 22-26, 2016 Overview: Resilience is a critical challenge as high performance computing (HPC) systems continue to increase component counts, individual component reliability decreases (such as due to shrinking process technology and near-threshold voltage (NTV) operation), and software complexity increases. Application correctness and execution efficiency, in spite of frequent faults, errors, and failures, is essential to ensure the success of the extreme-scale HPC systems, cluster computing environments, Grid computing infrastructures, and Cloud computing services. While a fault (e.g., a bug or stuck bit) is the cause of an error, its manifestation as a state change is considered an error (e.g., a bad value or incorrect execution), and the transition to an incorrect service is observed as a failure (e.g., an application abort or system crash). A failure in a computing system is typically observed through an application abort or a full/partial service or system outage. A detectable correctable error is often transparently handled by hardware, such as a single bit flip in memory that is protected with single-error correction double-error detection (SECDED) error correcting code (ECC). A detectable uncorrectable error (DUE) typically results in a failure, such as multiple bit flips in the same addressable word that escape SECDED ECC correction, but not detection, and ultimately cause an application abort. An undetectable error (UE) may result in silent data corruption (SDC), e.g., an incorrect application output. There are many other types of hardware and software faults, errors, and failures in computing systems. Resilience for HPC systems encompasses a wide spectrum of fundamental and applied research and development, including theoretical foundations, fault detection and prediction, monitoring and control, end-to-end data integrity, enabling infrastructure, and resilient solvers and algorithm-based fault tolerance. This workshop brings together experts in the community to further research and development in HPC resilience and to facilitate exchanges across the computational paradigms of extreme-scale HPC, cluster computing, Grid computing, and Cloud computing. Submission Guidelines: Authors are invited to submit papers electronically in English in PDF format. Submitted manuscripts should be structured as technical papers and may not exceed 12 pages, including figures, tables and references, using Springer's Lecture Notes in Computer Science (LNCS) format at <http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0>. Submissions should include abstract, key words and the e-mail address of the corresponding author. Papers not conforming to these guidelines may be returned without review. All manuscripts will be reviewed and will be judged on correctness, originality, technical strength, significance, quality of presentation, and interest and relevance to the conference attendees. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. The proceedings will be published in Springer's LNCS as post-conference proceedings. At least one author of an accepted paper must register for and attend the workshop for inclusion in the proceedings. Authors may contact the workshop program chairs for more information. Important websites: - Resilience 2016 Website: <http://www.csm.ornl.gov/srt/conferences/Resilience/2016> - Resilience 2016 Submissions: <https://easychair.org/conferences/?conf=europar2016ws> - Euro-Par 2016 website: <http://europar2016.inria.fr> Topics of interest include, but are not limited to: - Theoretical foundations for resilience: - Metrics and measurement - Statistics and optimization - Simulation and emulation - Formal methods - Efficiency modeling and uncertainty quantification - Fault detection and prediction: - Statistical analyses - Machine learning - Anomaly detection - Data and information collection - Vizualization - Monitoring and control for resilience: - Platform and application monitoring - Response and recovery - RAS theory and performability - Application and platform knobs - Tunable fidelity and quality of service - End-to-end data integrity: - Fault tolerant design - Degraded modes - Forward migration and verification - Fault injection - Soft errors - Silent data corruption - Enabling infrastructure for resilience: - RAS systems - System software and middleware - Programming models - Tools - Next-generation architectures - Resilient solvers and algorithm-based fault tolerance: - Algorithmic detection and correction of hard and soft faults - Resilient algorithms - Fault tolerant numerical methods - Robust iterative algorithms - Scalability of resilient solvers and algorithm-based fault tolerance Important Dates: - Workshop papers due: May 6, 2016 - Workshop author notification: June 17, 2016 - Workshop early registration: TBD - Workshop paper (for informal workshop proceedings): July 31, 2016 - Workshop camera-ready papers: October 3, 2016 General Co-Chairs: - Stephen L. Scott Senior Research Scientist - Systems Research Team Tennessee Tech University and Oak Ridge National Laboratory, USA scottsl(a)ornl.gov - Chokchai (Box) Leangsuksun, SWEPCO Endowed Associate Professor of Computer Science Louisiana Tech University, USA box(a)latech.edu Program Co-Chairs: - Patrick G. Bridges University of New Mexico, USA bridges(a)cs.unm.edu - Christian Engelmann Oak Ridge National Laboratory , USA engelmannc(a)ornl.gov Program Committee: - Ferrol Aderholdt, Oak Ridge National Laboratory, USA - Dorian Arnold, University of New Mexico, USA - Wesley Bland, Intel Corporation, USA - Hans-Joachim Bungartz, Technical University of Munich, Germany - Franck Cappello, Argonne National Laboratory and University of Illinois at - Urbana-Champaign, USA - Zizhong Chen, University of California at Riverside, USA - Robert Clay, Sandia National Laboratories, USA - Nathan DeBardeleben, Los Alamos National Laboratory, USA - James Elliott, Sandia National Laboratories, USA - Kurt Ferreira, Sandia National Laboratory, USA - Larry Kaplan, Cray Inc., USA - Dieter Kranzlmueller, Ludwig-Maximilians University of Munich, Germany - Sriram Krishnamoorthy, Pacific Northwest National Laboratory, USA - Ignacio Laguna, Lawrence Livermore National Laboratory, USA - Scott Levy, University of New Mexico, USA - Kathryn Mohror, Lawrence Livermore National Laboratory, USA - Christine Morin, INRIA Rennes, France - Dirk Pflueger, University of Stuttgart, Germany - Nageswara Rao, Oak Ridge National Laboratory, USA - Alexander Reinefeld, Zuse Institute Berlin, Germany - Rolf Riesen, Intel Corporation, USA - Yves Robert, ENS Lyon, France - Martin Schulz, Lawrence Livermore National Laboratory, USA - Keita Teranishi, Sandia National Laboratories, USA -- Christian Engelmann, Ph.D. System Software Team Task Lead / R&D Staff Scientist Computer Science Research Group Computer Science and Mathematics Division Oak Ridge National Laboratory Mail: P.O. Box 2008, Oak Ridge, TN 37831-6173, USA Phone: +1 (865) 574-3132 / Fax: +1 (865) 576-5491 e-Mail: engelmannc(a)ornl.gov / Home: www.christian-engelmann.info

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HPCA 2017 Call for Papers
by Daniel A. Jimenez 29 Mar '16

29 Mar '16

HPCA-23 Call for Papers 23rd IEEE International Symposium on High-Performance Computer Architecture Austin, Texas, USA, February 4 - 8, 2017 http://www.hpcaconf.org/hpca23 (collocated with PPoPP-2017 and CGO-2017) Important dates: - Abstract submission: July 25, 2016, 11:59 PM CDT (firm deadline) - Paper submission: August 1, 2016, 11:59 PM CDT (firm deadline) - Notification of paper outcome: October 12, 2016 The International Symposium on High-Performance Computer Architecture provides a high-quality forum for scientists and engineers to present their latest research findings in this rapidly-changing field. Authors are invited to submit papers on all aspects of high-performance computer architecture. Topics of interest include, but are not limited to: - Processor, cache, and memory architectures - Parallel computer architectures - Multicore and multiprocessor architectures - Impact of technology on architecture - Power-efficient architectures and techniques - Dependable/secure architectures - High-performance I/O systems - Embedded, reconfigurable, and heterogeneous architectures - Interconnect and network interface architectures - Architectures for cloud-based HPC and data centers - Innovative hardware/software trade-offs - Impact of compilers and system software on architecture - Performance modeling and evaluation - Architectures for emerging technology and applications Authors should submit an abstract by July 25, 2016 11:59 PM CDT. They should submit the full version of the paper August 1, 2016, 11:59 PM CDT. No extensions will be granted. The full version should be a PDF file following the submission guidelines that will be made available at the submission website. Papers should be submitted for blind review. We anticipate making a Best Paper award; all papers will be evaluated based on their novelty, fundamental insights, experimental evaluation, and potential for long-term impact. New-idea papers as well as papers that significantly advance established areas are strongly encouraged. Submission issues should be directed to the program chair at djimenez(a)cse.tamu.edu . HPCA-23 will host an Industrial Paper Session presenting novel insights from industry. Submission details will be announced soon. Sponsored by the IEEE Computer Society TC on Computer Architecture General Chair: Derek Chiou, Microsoft and UT Austin Program Chair: Daniel A. Jimenez, Texas A&M University Organizing Committee: Industrial Session Chair: Chris Wilkerson, Intel Labs Local Arrangements Chair: Mohit Tiwari, UT Austin Workshops and Tutorials Chair: Mike Ferdman, Stony Brook University Finance Chair: Dam Sunwoo, ARM Publications Chair: Xuehai Qian, USC Travel Awards Chair: Zhenman Fang, UCLA Publicity Chair: Michael Papamichael, Microsoft Research Web and Submissions Chairs: Hung-Wei Tseng, UCSD and Elvira Teran, Texas A&M and Intel Labs Program Committee: TBD

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CFP: International Workshop on Architecture-Aware Simulation and Computing (AASC 2016)
by George Karypis 29 Mar '16

29 Mar '16

[Please accept our apologies if you receive multiple copies of this Call for Papers (CFP)] =========================================================================== == Call For Papers International Workshop on Architecture-Aware Simulation and Computing (AASC 2016) http://hpcs2016.cisedu.info/2-conference/workshops---hpcs2016/workshop17-aa sc WHEN: July 18-22, 2016, WHERE: The University of Innsbruck, Innsbruck, Austria DEADLINE: April 21, 2016 (anywhere on earth) Will take place during The International Conference on High Performance Computing & Simulation (HPCS 2016) (http://hpcs2016.cisedu.info/) =========================================================================== == BACKGROUND AND OBJECTIVES ------------------------- To keep pace with the performance increase predicted by Moore's Law and to cope with energy efficiency requirements, homogeneous/heterogeneous processor aggregates have been extensively adopted both at the High Performance Computing (HPC) and at the embedded system domains. Realizing the full potential of such systems has become increasingly challenging due to: limited parallelization opportunities; reduced memory throughput and complex cache hierarchies; limited communication bandwidth; and thermal, power and energy constraints. At the same time, because the prevailing HPC and embedded computing architectures, integrate different types of co-processors and accelerator components (e.g., Intel Xeon Phi, GPUs, FPGAs, reconfigurable SoCs, etc.), has made the task of developing efficient HPC applications challenging. It is widely recognized that next generation HPC and embedded systems can only benefit from the hardware's full potential if both processor and architecture features are taken into account at all development stages - from the early algorithmic design to the final implementation stage. The AASC workshop strives to address all aspects related to these issues, including, but not limited to: - Hardware-aware compute/memory-intensive simulations of real-world problems in computational science and engineering domains (e.g., applications in electrical, mechanical, physics, geological, biological, or medical engineering). - Architecture-aware approaches for large-scale parallel computing, including scheduling, load-balancing and scalability studies. - Architecture-aware parallelization on HPC platforms, including multi- and many-core architectures comprising co-processor/accelerator components (e.g., Intel Xeon Phi, GPUs, FPGAs, etc.). - Architecture-aware approaches for energy-efficient implementations of HPC or embedded applications (e.g., ARM, mobile GPUs, reconfigurable SoCs, etc.). - Programming models and tool support for parallel heterogeneous platforms (e.g., CUDA, OpenCL, OpenACC, etc.). - Software engineering, code optimization, and code generation strategies for parallel systems with multi-/many-core processors. - Performance and memory optimization tools and techniques (including cache optimization, data reuse, data streaming, etc.) for parallel systems with multi-core processors. IMPORTANT DATES --------------- Paper Submissions: ------------------------------------------- April 21, 2016 Acceptance Notification: ------------------------------------- April 28, 2016 Camera Ready Papers and Registration Due by: ----------------- May 15, 2016 Conference Dates: -------------------------------------------- July 18-22, 2016 INSTRUCTIONS FOR PAPER SUBMISSIONS ---------------------------------- You are invited to submit original and unpublished research works on the above and other topics related to Architecture-Aware Simulation and Computing. Submitted papers must not have been published or simultaneously submitted elsewhere. Two types of papers are allowed. Full papers, whose length must not exceed 8 pages, and short papers, whose length must not exceed 4 pages. Additional pages will be charged additional fee. The papers must be formatted using IEEE's manuscript templates for conference proceedings and US Letter size pages and must include up to 6 keywords. Additional information and style files can be found at: http://www.ieee.org/conferences_events/conferences/publishing/templates.htm l Submit the PDF file of your paper to the Workshop paper submission site at: https://easychair.org/conferences/?conf=aasc2016. Each paper will receive a minimum of three reviews. Papers will be selected based on their originality, relevance, significance, technical clarity and presentation, and references. At least one of the authors of each accepted paper will have to register and attend the HPCS 2016 conference to present the paper at the Workshop. PROCEEDINGS ----------- Accepted papers will be published in the conference proceedings which will be made available at the time of the meeting. Instructions for final manuscript format and requirements will be posted on the HPCS 2016 Conference web site. It is our intent to have the proceedings formally published in hard and soft copies and be available at the time of the conference. The proceedings is projected to be included in the IEEE Digital Library and indexed in major indexing services accordingly. If you have any questions about paper submission or the workshop, please contact the workshop organizers. WORKSHOP ORGANIZERS ------------------- David Parello Universite de Perpignan, Perpignan, France David.Parello(a)univ-perp.fr George Karypis University of Minnesota - Twin Cities, Minnesota, USA karypis(a)cs.umn.edu

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IEEE ScalCom 2016: extended hard deadline April 8, 2016
by Marco Aldinucci 29 Mar '16

29 Mar '16

----------------------------------------------------------------------------------------- Call for Paper IEEE ScalCom 2016 18-21 July 2016, Toulouse France http://scalcom2016.sciencesconf.org/ <http://scalcom2016.sciencesconf.org/> **** New EXTENDED paper submission HARD deadline: APRIL 8th, 2016 **** ----------------------------------------------------------------------------------------- Parallel and distributed computing have undergone impressive change over recent years. The whole hardware industry shifted to both multicore and mobile platforms expanding the arena of communicating devices to an unprecedented scale. Communication networks have known great developments and many new applications in the same time. Scalability has rapidly become one of the central aspect of the disciplines. It is of paramount importance to review and assess these new developments in comparison with recent research achievements in the well-established areas of scalable computing and communications, from industry and the scientific community. The 16th IEEE International Conference on Scalable Computing and Communications (ScalCom 2016) will provide a forum for the presentation of these and other issues through original research presentations and will facilitate the exchange of knowledge and new ideas at the highest technical level. We invite submissions of high-quality research papers describing fully developed results or on-going foundational and applied work relating to all aspects of scalable computing and communications. The program committee will interpret it very broadly; everything from engineering principles to practical experiences on different levels of a parallel and distributed system. We particularly encourage submissions on topics of emerging interest in the research and development communities. ----------------------------------------------------------------------------------------- Topics ----------------------------------------------------------------------------------------- + Cloud & fog computing: - X as a Service, where X includes Backend, Business Process, Database, Information, Infrastructure, Network, Platform, Security, Software, and Storage - performance, dependability, and service level agreements - cloud programming models and tools - fog computing algorithms and infrastructures + GPU, accelerators and novel architectures for Scalability-Rethinking: - parallel programming models - embedded parallel and distributed systems - heterogenous platforms - GPU, MIC, and FPGA based parallel systems - parallel I/O - memory organisation + Modelling and Simulation of Large Complex Systems - complex systems modelling and simulation - cellular automata, genetic algorithms, neural networks, swarm Intelligence implementations - integrated approach to optimization and simulation - high-performance Software developed to solve science (e.g., biological, physical, and social), engineering, medicine, and humanities problems + Extreme scale systems and applications - peta-scale and exa-scale workloads - high-performance and high-throughput computing - run-time systems for extreme scale applications - fault-tolerance in large scale applications - near-data processing and data-centric approaches + Mobile, wireless and pervasive computing - queueing theory - design and performance analysis of communication networks - communication protocols - distributed applications with emphasis on scalability - distributed applications deployment - internet of things - pervasive computing - distributed robotics - energy - convergence of communication and computing ----------------------------------------------------------------------------------------- Submission guidelines ----------------------------------------------------------------------------------------- Prospective authors should submit a full paper not exceeding *8* pages in length (and in the Conference proceedings format – double column, 10pt) including a 150-200 word abstract to https://easychair.org/conferences/?conf=scalcom2016 <https://easychair.org/conferences/?conf=scalcom2016> ----------------------------------------------------------------------------------------- Important dates ----------------------------------------------------------------------------------------- Paper submission: April 8, 2016 Acceptance notification: May 6, 2016 Camera ready due: May 20, 2016 Registration due: May 20, 2016 Conference: July 18-21, 2016 ----------------------------------------------------------------------------------------- Honorary Chair: Faming GONG, University of Petroleum, China Philippe OWEZARSKI, LAAS-CNRS, France General Chairs: Umit CATALYUREK Ohio State University, USA Didier EL BAZ, LAAS-CNRS, France Julien BOURGEOIS, FEMTO-ST, France Program an Workshops Co-Chairs: Marco ALDINUCCI, University of Torino, Italy Massimo TORQUATI, University of Pisa, Italy Publicity Chair: Claudia MISALE, University of Torino, Italy Daniele D’AGOSTINO, CNR, Italy Local Organisation Committee: Didier EL BAZ, LAAS-CNRS, France (chair) Moussa ELKIHEL, LAAS-CNRS, France Pascal BERTHOU, LAAS-CNRS, France Bastien PLAZOLLES, LAAS-CNRS, France Li ZHU, LAAS-CNRS, France Bilal FAKIH, LAAS-CNRS, France Brigitte DUCROCQ, LAAS-CNRS, France (Communication) Isabelle LEFEBVRE, LAAS-CNRS, France (Web Site) Caroline MALE, LAAS-CNRS, France (Secretariat) Advisory Committee: Zaiyue YANG, Zhejiang University China Zhongshan ZHANG, University of Science and Technology Beijing, China Steering Committee: Laurence T. YANG (Chair), St Francis Xavier University, Canada Albert Y. ZOMAYA (Chair), University of Sydney, Australia Pavan BALAJI, Argonne National Laboratory, USA Rajkumar BUYYA, University of Melbourne, Australia Jinjun CHEN, University of Technology Sydney, Australia Samee U. KHAN, North Dakota State University, USA Joanna KOLODZIEJ, Cracow University of Technology, Poland Jianhua MA, Hosei University, Japan Manish PARASHAR, Rutgers University, USA Lizhe WANG, Chinese Academy of Science, China Stephen S. YAU, Arizona State University, USA. Topic chairs: Marco BECCUTI, University of Turin Pascal BERTHOU, LAAS-CNRS Olivier BRUN, LAAS-CNRS Patrizio DAZZI, ISTI-CNR Javier GARCIA-BLAS, Carlos III University of Madrid Jose Daniel GARCIA SANCHEZ, Carlos III University of Madrid Ewa NIEWIADOMSKA-SZYNKIEWICZ, Warsaw University of Technology William SPATARO, University of Calabria Jose Luis VAZQUEZ-POLETTI, Universidad Complutense de Madrid Contact: aldinuc(a)di.unito.it <mailto:[email protected]> elbaz(a)laas.fr <mailto:[email protected]> --- Marco Aldinucci Computer Science Dept - University of Torino - Italy Homepage: http://di.unito.it/aldinuc <http://di.unito.it/aldinuc> FastFlow: http://di.unito.it/fastflow <http://di.unito.it/fastflow>

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Extended Deadline (April 12) CFP: Big Data & Deep Learning in HPC (Springer LNCS)
by Carlos Ferreira 28 Mar '16

28 Mar '16

------------------------------------ First Workshop on Big Data & Deep Learning in High Performance Computing (http://bigdatadeeplearning2016.inesctec.pt/) in conjunction with VECPAR 2016 - High Performance Computing for Computational Science (http://vecpar.fe.up.pt/2016/) Porto, Portugal June 30, 2016 Porto has been crowned the BEST EUROPEAN DESTINATION of 2014 for its postcard-perfect views, friendly locals and gastronomy. Paper New SUBMISSION DEADLINE: *** April 12, 2016 **** ------------------------------------ ------------------------------------ WORKSHOP ON BIG DATA & DEEP LEARNING IN HIGH PERFORMANCE COMPUTING ------------------------------------ The number of very large data repositories (big data) is increasing in a rapid pace. Analysis of such repositories using the "traditional" sequential implementations of ML and emerging techniques, like deep learning, that model high-level abstractions in data by using multiple processing layers, requires expensive computational resources and long running times. Parallel or distributed computing are possible approaches that can make analysis of very large repositories and exploration of high-level representations feasible. Taking advantage of a parallel or a distributed execution of a ML/statistical system may: i) increase its speed; ii) learn hidden representations; iii) search a larger space and reach a better solution or; iv) increase the range of applications where it can be used (because it can process more data, for example). Parallel and distributed computing is therefore of high importance to extract knowledge from massive amounts of data and learn hidden representations. The workshop will be concerned with the exchange of experience among academics, researchers and the industry whose work in big data and deep learning require high performance computing to achieve goals. Participants will present recently developed algorithms/systems, on going work and applications taking advantage of such parallel or distributed environments. ------------------------------------ LIST OF TOPICS ------------------------------------ All novel data-intensive computing techniques, data storage and integration schemes, and algorithms for cutting-edge high performance computing architectures which targets Big Data and Deep Learning are of interest to the workshop. Examples of topics include but not limited to: - parallel algorithms for data-intensive applications; - scalable data and text mining and information retrieval; - using Hadoop, MapReduce, Spark, Storm, Streaming to analyze Big Data; - energy-efficient data-intensive computing; - deep-learning with massive-scale datasets; - querying and visualization of large network datasets; - processing large-scale datasets on clusters of multicore and manycore processors, and accelerators; - heterogeneous computing for Big Data architectures; - Big Data in the Cloud; - processing and analyzing high-resolution images using high-performance computing; - using hybrid infrastructures for Big Data analysis. - New algorithms for parallel/distributed execution of ML systems; - applications of big data and deep learning to real-life problems. ------------------------------------ SUBMISSION ------------------------------------ Papers submitted to this workshop should not exceed 12 pages in length. The papers should be formatted according to the rules of the Springer Series Lecture Notes in Computer Science (LNCS). All accepted papers will be published by Springer in the series entitled Lecture Notes in Computer Science. The proceedings will be distributed in electronic format to participants of VECPAR 2016. You should make your submissions through the EasyChair system: https://easychair.org/conferences/?conf=bdl2016 ------------------------------------ REGISTRATION ------------------------------------ All participants must attend the VECPAR 2016 conference. http://vecpar.fe.up.pt/2016/registration.html ------------------------------------ ORGANIZATION ------------------------------------ Carlos Ferreira (LIAAD - INESC TEC LA and Polytechnic Institute of Porto) João Gama (LIAAD - INESC TEC LA and University of Porto) Albert Bifet (Telecom ParisTech) Vítor Santos Costa (CRACS - INESC TEC LA and University of Porto) Rui Camacho (LIAAD -INESC TEC LA and University of Porto) Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. António Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail(a)isep.ipp.pt | www.isep.ipp.pt

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CfP: Cloud Computing: Principles, Systems & Applications, 2nd Edition
by l.gillam＠surrey.ac.uk 26 Mar '16

26 Mar '16

**************************************************** Cloud Computing: Principles, Systems & Applications 2nd Edition First Call for Book Chapter Proposals **************************************************** **** IMPORTANT DATES **** May 31: 2 to 3 page proposal for chapters Jun 30: Invitation for full chapters Aug 31: Full chapter submission Sep 30: Feedback on revisions to authors Oct 31: Camera Ready submission Late 2016 / Early 2017: 2nd edition published **** OVERVIEW **** Since the publication of the first edition of this popular book in 2010, Cloud Computing has both become an entrenched part of the industrial and academic landscape, and evolved quite significantly. This has led to increased sophistication and diversification in how we now think about, characterise, create, and use Cloud - and we now take for granted the key characteristics that previously necessitated extensive debate. Current notions of Clouds relate very large scale and highly complex systems that embrace services, containers, mobile, cloud-of-clouds/multicloud/internet-of-clouds and brokers across and between these, big data and analytics, and the internet-of-things including the operation and off-loading of data for various autonomous vehicles. Given such uses, Cloud security, along with privacy, legislation, regulation, and standardization have come to the fore and even help to shape the thinking about non-Cloud or Cloud-related systems. And the underlying importance of topics such as energy efficiency and economics is also never far removed. Clouds now support patterns of both regular and predictable, and are particularly adept for bursty, resource use for applications and services across the entire IT spectrum, from online office software to high-throughput transactional services and high-performance computations involving substantial quantities of processing cycles and storage. Growth of Clouds, and the sheer multiplicities in provision, has created new opportunities for service selection and composition, and flexibility and agility have become motivators for adoption where previously focus was on cost. The major IT and e-commerce vendors are still Microsoft, Amazon, IBM and Google, although what each offers, and how, has shifted some way since the first edition of this work. Microsoft is embracing open source software and supports Linux use in infrastructure; IBM seems to have made a very strategic acquisition to bolster their offering; Google has worked quickly to position itself alongside these, however Amazon's scale and service offerings have expanded substantially throughout, and by many measures Amazon's Web Services is proclaimed the present market leader. Given scale of investment, it is difficult to see any of these four being displaced quickly, but it would be unwise to believe that this could not happen. In turn, the volume of technically-motivated and research-oriented literature has grown substantially, as workshops, conferences books and journals have grown in number, breadth and depth. The first edition of the book was published at a time when such literature was relatively scarce; the 2nd edition will have to stand amongst a number of other good research collections. The main purpose of the 2nd edition is to capture the state-of-the-art in Cloud Computing. As such, it is expected to have some structural similarities to the 1st edition, but will be quite different in composition as would reflect the substantial evolution of the subject over the past five years. We again aim for a thorough and advanced treatment of a variety of Cloud Computing topics, and will endeavour to ensure all-round coverage to the best extent possible. **** CALL TOPICS **** Chapters are solicited that address major topics and sub-topics in Cloud Computing, including but certainly not limited to: * Redefining, or rescoping, Cloud * Architecting Clouds * High Performance and High Throughput Clouds * Cloud storage and persistence * Cloud data processing: SQL, NoSQL and NewSQL * Cloud scalability, resilience and fault-tolerance * Virtualization, Containerization, Microservices * Cloud service Orchestration and Choreography * Autonomic Clouds * Cloud Peers * Cloud migrations * Redesigning and refactoring to exploit Cloud * Burstability and scalability for public, private, and hybrid Cloud * Supply and demand limitations in Clouds * Cloud Brokerage * Cloud Service Management * Cloud Performance monitoring * Cloud-of-clouds/multicloud/internet-of-clouds * Cloud Identity Management * Mobile Cloud * Clouds and the Internet of Things * Clouds of Big Data and Analytics * Cloud governance * Security, Privacy and Trust in the Cloud * Legislative and regulatory challenges * Cloud economics (Cloudonomics) and cost management * Energy efficient Clouds and data centres * Shortcomings of Cloud * Negative Results from the adoption of Cloud Chapters addressing pertinent topics that have not been listed will certainly be considered. Please contact the editors if you have concerns over proposing a chapter on a given topic. The intended audiences for this work include: * technical managers and IT consultants interested in the use of certain methods for delivering efficient and secure commercial electronic services to customers globally * researchers and doctoral students in cloud computing, distributed computing, software engineering and Web Services * professional system architects and developers needing to apply Cloud Computing techniques and processes * academics delivering research-oriented teaching in the above fields. **** SUBMISSION **** A 2 to 3 page proposal for a chapter should be submitted to: https://easychair.org/conferences/?conf=ccupdate2016 For further information about the first edition, please visit http://www.springer.com/us/book/9781849962407 **** EDITORS **** Professor Nick Antonopoulos, University of Derby, n.antonopoulos(a)derby.ac.uk Dr Lee Gillam, University of Surrey, l.gillam(a)surrey.ac.uk __ Dr Lee Gillam FBCS CITP FHEA, Senior Lecturer, Department of Computing, University of Surrey, UK Editor-in-Chief, Springer Journal of Cloud Computing Advances, Systems and Applications (JoCCASA): http://www.journalofcloudcomputing.com/

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*Deadline Extended to April 7th* CFP Special Session on High Performance Computing for Application Benchmarking and Optimization (HPBench 2016)
by Jerome Vienne 25 Mar '16

25 Mar '16

Dear colleague, Please note the extended submission deadline for the Special Session on High Performance Computing for Application Benchmarking and Optimization (HPBench 2016). It is now *7th April* ! Please share with relevant people in your network. We look forward to your submission, and to seeing you at HPCS-2016 and HPBench-2016 in Innsbruck, Austria! Regards, HPBench-2016 Organizers.

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Call For Papers IEEE DataCom 2016
by 徐李谦 25 Mar '16

25 Mar '16

[Apologies if you got multiple copies of this email.] IEEE DataCom 2016 - CFP: Research paper, Works-in-Progress, Industry & Workshop Paper, Demo & Poster paper The 2nd IEEE International Conference on Big Data Intelligence and Computing（IEEE DataCom 2016） http://grid.chu.edu.tw/datacom2016 Auckland, New Zealand, August 8-12, 2016 ----------------------------- PUBLICATION HIGHLIGHTS ---------------------------------------- IEEE CS proceedings, indexed by - IEEE Xplore - Scopus - EI Engineering Index - ACM Digital Library - dblp - Google Scholar Extended version of the selected papers will be invited for publication in prestigious international journals. --------------- IMPORTANT DATES --------------- Tutorial / Workshop / Special Session Proposal Due: February 29, 2016 Paper Submission (Research Track): March 15, 2016 Paper Submission (Works-in-Progress/workshop): April 10, 2016 Author Notification (Research/workshop/WIP): April 30, 2016 Paper Submission (Demo /Poster /Special session): May 5th, 2016 Author Notification (Poster / Demo): May 20, 2016 Camera ready / registration deadline: May 31, 2016 --------------- CALL FOR PAPERS --------------- Big data is a rapidly expanding research area spanning the fields of computer science and information management, and has become a ubiquitous term in understanding and solving complex problems in different disciplinary fields such as engineering, applied mathematics, medicine, computational biology, healthcare, social networks, finance, business, government, education, transportation and telecommunications. The goal of the 2nd IEEE International Conference on Big Data Intelligence and Computing (IEEE DataCom 2016) is to establish an international forum for engineers and scientists to present their ideas and experiences in the fields of Big Data intelligence and computing. IEEE DataCom 2016 welcomes paper submissions on innovative work from researchers in academia, industry and government describing original research work in Big Data. Authors of selected papers will be invited to submit an extended version (with at least 30% new material) for review and publication in special issues of international journals. Welcome to Chengdu, which has great weather, genuine Sichuan cuisine and many famous tourism places, such as Jiuzhai Valley, Chengdu Giant Panda Breeding Research Base, Emei Mountain and so on. IEEE DataCom 2016 will be held on Dec. 8-12, 2016 in Auckland, New Zealand. Topics of interest include, but are not limited to: - The 5Vs of the data landscape: volume, variety, velocity, veracity, value - Big data science and foundations, analytics, visualization and semantics - Software and tools for big data management. - Security, privacy and legal issues specific to big data - Big data economy, QoS and business models - Scientific discovery and business intelligence - Software, hardware and algorithm co-design, high-performance computing - Large-scale recommendation systems and graph analysis - Infrastructures and systems for big data analytics and managements - Middleware and tools for big data analytics and managements - Algorithmic, experimental, prototyping and implementation - Data quality issues: such as validation, metrics, optimizations and consistency - Data-driven innovation, computational modelling and data integration - Data intensive computing theorems and technologies - Big data for advanced manufacturing and productivity - Modeling, simulation and performance evaluation - Green data centers / environmental-friendly perspectives - Computing, scheduling and resource management for sustainability - Complex applications in areas where massive data is generated —------------------------- SUBMISSION and PUBLICATION —------------------------- Authors are invited to submit their original research work that has not previously been submitted or published in any other venue. Papers should be prepared in IEEE CS format and submitted via the IEEE DataCom 2016 web site, https://easychair.org/conferences/?conf=ieeedatacom2016 - Proposals for organizing tutorials, workshops and special sessions need to be submitted to the Tutorials, Workshops and Special Sessions Chairs, respectively. A proposal should include title, theme, scope and main presenters/organizers. - Research paper (8 pages) should explore a specific technology problem and propose a complete solution to it, with experimental results. - Works-in-Progess (WIP) (6 pages) papers are expected to present either work currently in progress or less developed but highly innovative ideas. - Demo/Poster papers (4 pages) must describe working systems and be related to DataCom. These systems may be innovative prototype implementations or mature systems that use related technology. Papers/proposals need to be submitted to the Demo/Poster Chair. - Workshop and Special Session papers need to be submitted to the corresponding workshops and special sessions. All accepted papers in the main tracks, workshops, special sessions and demos/posters will be published in an IEEE Computer Society proceedings (EI indexed). Extended versions of selected excellent papers will be considered for publication in special issues of prestige journals (SCI/EI indexed). --------------------- Organizing Committees --------------------- General Chairs Yuanyuan Yang, Stony Brook University, USA Jie Li, University of Tsukuba, Japan Domenico Talia, Università della Calabria, Italy General Executive Chairs Yang Xiang, Deakin University, Australia Kevin Wang, The Univ. of Auckland, New Zealand Program Chairs Jingson Wu, University de Chile, Chile Rajiv Ranjan, Newcastle University, UK Vincent S. Tseng, National Chiao Tung Univ. Taiwan Workshop Chairs Bahman Javadi, Univ. Western Sydney, Australia Che-Rung Lee, National Tsinghua Univ., Taiwan Demo/Poster Chair Cho-Li Wang, The Univ. of Hong Kong, Hong Kong Special Session Chair Bingsheng He, Nanyang Technological University, Singapore Award Chair Patrick K. Hung, University of Ontario Institute of Technology, Canada Tutorial/Panel Chair Bhekisipho Twala, Univ. Johannesburg, South Africa Junwei Cao, Tsinghua Univ., China International Liaison & Publicity Chair Hai Jiang, Arkansas State University, USA David Taniar, Monash Univ., Australia Alex Kuo, University of Victoria, Canada Mianxiong Dong, Muroran Inst. Tech., Japan Victor Malyskin, RAS, Russia Jun Huang, CQUPT, China Luis Veiga, Instituto Superior Técnico, Portugal Yonghong Peng, University of Bradford, UK Bhekisipho Twala, Univ. Johannesburg, South Africa Publication Chair Amir H. Alavi, Michigan State University, USA Local Arrangement Chair Sheng Wen, Deakin University, Australia Please visit the IEEE DataCom 2016 website http://grid.chu.edu.tw/datacom2016/tpc.php for the complete listing of organizing committee and TPC members.

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