- computational.science - lists.iccsa.org

CFP Deadline Extended - 2020 BenchCouncil International Symposium on Benchmarking, Measuring and Optimizing (Bench'20)
by gaowanling 13 Jul '20

13 Jul '20

[Apologies if you receive multiple copies of this CFP] CALL FOR PAPERS New Deadlines Registration of abstract (non-mandatory): July 15, 2020 Paper Submission: August 15, 2020 Acceptance Notification: September 15, 2020 ========================================================== 2020 BenchCouncil International Symposium on Benchmarking, Measuring and Optimizing (Bench'20) http://www.benchcouncil.org/bench20/index.html Nov. 14th - Nov. 16th, 2020, Atlanta, Georgia, USA ========================================================== Introduction ---------------- Benchmarking, measuring, and optimizing are fundamental human activities. The organizing committee is pleased to invite you to take part in Bench'20 to be held in Atlanta, Georgia, USA. This symposium (Bench'20) is organized by the International Open Benchmarking Council (BenchCouncil). Bench'20 overlaps with SC 20 (same place and same time), but it is NOT affiliated with the SC conference. The main themes of Bench'20 are benchmarking, measuring, and optimizing systems and applications in the areas of big data, AI, block chain, HPC, datacenters, IoT, and edge computing. The Bench conference has three defining characteristics. First, it provides a highquality, single-track forum for presenting results and discussing ideas that further the knowledge and understanding of the benchmark community as a whole. Second, it is a multi-disciplinary conference. The past conferences attracted the researchers and practitioners from the architecture, systems, algorithms, and applications communities. Third, it includes both invited sessions and contributed sessions. Regularly, Bench'20 will present the BenchCouncil Achievement Award ($3000), the BenchCouncil Rising Star Award ($1000), and the BenchCouncil Best Paper Award ($1000). As its duty, BenchCouncil incubates and hosts benchmark projects, and further encourages reliable and reproducible research using the benchmarks from BenchCouncil or other organizations. To this end, we present the BenchCouncil Award for Excellence for Reproducible Research to the papers using all publicly available benchmarks. Each winning paper earns a $100 prize, maximally up to 12 papers: 4 papers for each category of poster, spotlight, and oral. Call for papers ------------------------ Specific topics of interest include, but are not limited to, the following. **Synthetics or real-world data sets of: **Benchmark, measurement, and optimization of: **Benchmark specifications and open-source implementation reports of: ** Methodologies, abstractions, metrics, algorithms, and tools in benchmarking, measurement, and optimization for: ** Benchmark-driven domain-specific co-design of: ** Test methodologies and systems of: ** Workload characterization of: -Big data -AI -HPC -Machine learning -Big scientific data -Datacenters -Cloud -Warehouse-scale computing -Mobile robotics -Edge and fog computing -IoT -Block chain -Data management and storage -Medicine, finance and education Paper Submission ------------------------ Papers must be submitted in PDF. For a full paper, the page limit is 15 pages in the LNCS format, not including references. For a short paper, the page limit is 8 pages in LNCS format, not including references. The submissions will be judged based on the merit of the ideas rather than the length. After the conference, the proceeding will be published by Springer LNCS (Indexed by EI). Please note that the LNCS format is the final one for publishing. After the acceptance decisions are made, the presentation mode of each paper is determined based on the recommendations as poster, spotlight, or oral. All accepted papers, regardless of presentation mode, appear in the proceedings as full-length papers. At least one author must pre-register for the symposium, and at least one author must attend the symposium to present the paper. Papers for which no author is preregistered will be removed from the proceedings. Submission site: https://easychair.org/my/conference?conf=bench20# Improtant Dates --------------------- Registration of abstract (non-mandatory) July 15, 2020 Paper Submission August 15, 2020 Acceptance Notification September 15, 2020 Awards ---------- At Bench'20, several important awards will be given, which include: * BenchCouncil Achievement Award ($3,000) - This award recognizes a senior member who has made long-term contributions to benchmarking, measuring, and optimizing. The winner is eligible for the status of a BenchCouncil Fellow. * BenchCouncil Rising Star Award ($1,000) - This award recognizes a junior member who demonstrates outstanding potential for research and practice in benchmarking, measuring, and optimizing. * BenchCouncil Best Paper Award ($1,000) - This award recognizes a paper presented at the Bench conferences, which demonstrates potential impact on research and practice in benchmarking, measuring, and optimizing. * BenchCouncil Award for Excellence for Reproduceable Research (Each winning paper earns a $100 prize, maximally up to 12 papers: 4 papers for each category of poster, spotlight, and oral) - BenchCouncil incubates and hosts benchmark projects, and further encourages reliable and reproducible research using the benchmarks from BenchCouncil or other organizations. To this end, we present the BenchCouncil Award for Excellence for Reproducible Research to the papers using all publicly available benchmarks. Organization ----------------- General Chairs Jianfeng Zhan (BenchCouncil and Chinese Academy of Sciences) TPC Chairs Felix Wolf (Technical University of Darmstadt) Wanling Gao (ICT, Chinese Academy of Sciences) Award Committees Lizy Kurian John (The University of Texas at Austin) D. K. Panda (The Ohio State University) Geoffrey Fox (Indiana University) Jianfeng Zhan (BenchCouncil and Chinese Academy of Sciences) Submission Chair Rui Ren (Cyberspace Security Research Institute Co., Ltd.) Publicity Chairs Ali Jannesari (Iowa State University) Akihiro Nomura (Tokyo Institute of Technology) Chen Zheng (Institute of Computing Technology, CAS) Zhen Jia (Amazon) Biwei Xie (ICT, Chinese Academy of Sciences) Technical Program Committee ---------------------------------------- Matthew Bachstein, University of Tennessee, Knoxville Woongki Baek, UNIST David Bermbach, TU Berlin Arne Berre, SINTEF Ben Blamey, Uppsala University K. Selcuk Candan, Arizona State University Florina Ciorba, University of Basel Zhihui Du, Tsinghua University Vladimir Getov, University of Westminster Ryan E. Grant, Sandia National Laboratories Cheol-Ho Hong, Chung-Ang University Yunyou Huang, Guangxi Normal University Sascha Hunold, TU Vienna Khaled Ibrahim, Lawrence Berkeley National Lab Todor Ivanov, Frankfurt Big Data Lab, Goethe University Frankfurt Zhen Jia, Amazon Nikhil Jain, Lawrence Livermore National Laboratory Juby Jose, Intel Gwangsun Kim, POSTECH Huan Liu, Arizona State University Gang Lu, Huawei Xiaoyi Lu, The Ohio State University Piotr Luszczek, University of Tennessee Knoxville Lucas Mello Schnorr, UFRGS Benson Muite, University of Tartu Bin Ren, Pacific Northwest National Laboratory Rui Ren, Cyberspace Security Research Institute Co., Ltd. Hyogi Sim, Oak Ridge National Laboratory Shuaiwen Leon Song, The University of Sydney Salman Zubair Toor, Uppsala University Blesson Varghese, Queen's University Belfast, UK Feiyi Wang, Oak Ridge National Laboratory Lei Wang, ICT, Chinese Academy of Sciences Bo Wu, Colorado School of Mines Biwei Xie, ICT, Chinese Academy of Sciences Jungang Xu, College of Computer and Control Engineering, University of Chinese Academy of Sciences Chen Zheng, ICT, Chinese Academy of Sciences Xiexuan Zhou, Max Plank Institute of Biochemistry

1 0

HPBench 2020 - Deadline has been extended
by Samar Aseeri 07 Jul '20

07 Jul '20

Dear Sir, dear Madam, Please, can you pass this announcement also to interested colleagues. Kind regards ========================================================================== CALL FOR PAPERS The 7th Special Session on High Performance Computing for Application Benchmarking and Optimization (HPBench 2020) As part of the International Conference on High Performance Computing & Simulation (HPCS 2020) http://hpcs2020.cisedu.info/ or http://conf.cisedu.info/rp/hpcs20 Barcelona, Spain ========================================================================== Benchmarking is an essential aspect of modern high performance computing and computational science, and as such, it provides a means for quantifying and comparing the performance of different computer systems. With a large combination of aspects to benchmark, all the way from the capability of a single core, to cluster configuration, and to various software configurations, the benchmarking process is more of an art than science. However, the results of this process drive modern science and are vital for the community to draw sensible conclusions on the performance of applications and systems. This special session focuses on research work aimed at benchmarking modern parallel and distributed systems for addressing a number of real world problems. As such, contributions concerning the definition of new open platforms, new benchmarks to match modern architectural evolutions, studies on the aspects of benchmarking different aspects of systems (from raw runtime performance to energy consumption to energy consumed per data movement) and mathematical foundations of benchmarking are sought. IMPORTANT DATES : Papers Due: 21 July 2020 Author Notification: 03 August 2020 Camera-Ready Submission: 15 August 2020 Conference Dates: 26-30 October 2020 TOPICS : The HPBench topics of interest include, but are not limited to -Open Platforms for Parallel and Distributed Application Benchmarking and Optimization -Benchmarking on the Cloud -Benchmarking of Clusters, Supercomputers, and large-scale systems -Benchmarking the Performance of I/O -Benchmarking of Energy and Energy Efficiency -Benchmarking Web Services -Virtualization for Distributed Benchmarking -Data Distribution for Benchmarking -Performance results of benchmarks on modern platforms -Scalability Aspects of Benchmarking Parallel Applications on Parallel and Distributed Systems -Benchmarking of Parallel Scientific and Business Applications -Performance of Benchmarking Applications (Eg: NAS parallel benchmarks) -Techniques, frameworks and results concerning the benchmarking of library packages -Tools and frameworks for performance modeling systems and applications -Tools and frameworks for simulation, measurement and monitoring -Performance Measurements, Monitoring, Modeling and Simulation -Domain-specific benchmarks and applications (such as image processing, pattern recognition, cryptography, biometrics, differential equation solvers, signal processing and alike) -Mathematical Foundations of Benchmarking, Metrics and Heuristics GENERAL CHAIRS : Samar Aseeri, King Abdullah University of Science and Technology, Saudi Arabia Jordi Blasco, New Zealand eScience Infrastructure & Landcare Research, New Zealand Luigi Iapichino, Leibniz Supercomputing Centre (LRZ), Germany TECHNICAL PROGRAM COMMITTEE: Cosimo Anglano, Universitá del Piemonte Orientale, Italy Fabio Baruffa, Intel, Germany Ben Blamey, Uppsala University, Sweden Suren Byna, Lawrence Berkeley National Laboratory, California, USA Paul Carpenter, Barcelona Supercomputing Center, Spain Jesus Carretero, Universidad Carlos III de Madrid, Spain Douglas Doerfler, Lawrence Berkeley National Laboratory, USA Zhiyi Huang, University of Otago, New Zealand Clay Hughes, Sandia National Laboratories, USA Aleksandar Ilic, Universidade de Lisboa, Portugal Bok Jik Lee, Seoul National University, Korea Sebastian Lührs, Jülich Supercomputing Centre, Forschungszentrum Jülich GmbH, Jülich, Germany Ravi Reddy Manumachu, University College Dublin, Ireland Dana Petcu, West University of Timisoara, Romania Ivan Rodero, Rutgers University, USA ********************************************************************* For more information see http://conf.cisedu.info/rp/hpcs20/2-conference/special-sessions/session02-h… Kind Regards -- Samar Aseeri, PhD Computational Scientist Extreme Computing Research Center (ECRC) Building 1 -Office: 0128 *King Abdullah University of Science & Technology* Thuwal, Saudi Arabia -- This message and its contents, including attachments are intended solely for the original recipient. If you are not the intended recipient or have received this message in error, please notify me immediately and delete this message from your computer system. Any unauthorized use or distribution is prohibited. Please consider the environment before printing this email.

1 0

IEEE HiPC 2020: Deadlines Extended
by sanmukh＠hipc.org 01 Jul '20

01 Jul '20

********************************************************************** We apologize if you received multiple copies of this message Please feel free to distribute it to those who might be interested ********************************************************************** HiPC 2020 VIRTUAL CONFERENCE - DEADLINES EXTENDED ********************************************************************* IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC) serves as a forum to present current work by researchers from around the world as well as highlight activities in Asia in the areas of high performance computing and data science. The meeting focuses on all aspects of high performance computing systems, and data science and analytics, and their scientific, engineering, and commercial applications. Due to the COVID-19 pandemic, HiPC 2020 will be held virtually this year. The registration fees for authors will be reduced, and details regarding the same will be communicated later. We are also workin with the sponsors to offer complimentary access to the online proceedings publication as well as participation in the virtual meeting. Extended Deadlines for HiPC 2020 are as follows: Abstract Registration: July 10, 2020 Paper Submission Deadline: July 15, 2020 For more details, please visit: https://hipc.org/ Call for Papers can be found at https://hipc.org/call-for-papers/

1 0

IEEE HiPC 2020: Deadlines Approaching
by sanmukh＠hipc.org 28 Jun '20

28 Jun '20

********************************************************************** We apologize if you received multiple copies of this message Please feel free to distribute it to those who might be interested ********************************************************************** HiPC 2020 VIRTUAL CONFERENCE - DEADLINES APPROACHING ********************************************************************* IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC) serves as a forum to present current work by researchers from around the world as well as highlight activities in Asia in the areas of high performance computing and data science. The meeting focuses on all aspects of high performance computing systems, and data science and analytics, and their scientific, engineering, and commercial applications. Due to the COVID-19 pandemic, HiPC 2020 will be held virtually this year. The registration fees for authors will be reduced, and details regarding the same will be communicated later. We are also workin with the sponsors to offer complimentary access to the online proceedings publication as well as participation in the virtual meeting. Upcoming Deadlines for HiPC 2020 are as follows: Abstract Registration: July 1, 2020 Paper Submission Deadline: July 8, 2020 For more details, please visit: https://hipc.org/ Call for Papers can be found at https://hipc.org/call-for-papers/

1 0

[CFP] IA^3 2020 - 10th SC Workshop on Irregular Applications: Architectures and Algorithms
by Tumeo, Antonino 27 Jun '20

27 Jun '20

[Please accept our apologies if you receive multiple copies of this message.] IA^3 2020 10th Workshop on Irregular Applications: Architectures and Algorithms http://hpc.pnl.gov/IA3 November 15, 2020 Georgia World Congress Center, Atlanta, GA In conjunction with SC20 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. Emerging supercomputing applications are moving towards a convergence of scientific simulation, data analytics, and learning algorithms, mixed in various ways. 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 and solutions that combine graph algorithms with machine learning) - Applications that integrate scientific simulation, data analytics, and learning, and require efficient execution of irregular workloads 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 28, 2020 (AoE) Position or Regular Paper Submission: September 4, 2020 (AoE) Notification: September 28, 2020 Artifact Evaluation: September 28, 2020 - October 10, 2020 Camera-ready: October 10, 2020 Workshop: November 15, 2020 -------------------- Submissions -------------------- Submission site: https://submissions.supercomputing.org Submitted manuscripts may not exceed eight (8) pages in length for regular papers and four (4) pages for position papers (excluding 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 templates are available at: http://www.ieee.org/conferences_events/conferences/publishing/templates.html. Accepted papers will be published in the IEEE Digital Library through IEEE TCHPC. -------------------- 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://sc20.supercomputing.org/submit/transparency-reproducibility-initiat… 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. Note that differently from the main conferene, this additional page is voluntary (not mandatory - i.e., if a paper has no computational results, do not attach it) for the workshop, 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. 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 publicly (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, Biagio Cosenza, at bcosenza(a)unisa.it. -------------------- Organizers -------------------- Antonino Tumeo (PNNL), antonino.tumeo(a)pnnl.gov John Feo (PNNL), john.feo(a)pnnl.gov Vito Giovanni Castellana (PNNL), vitoGiovanni.castellana(a)pnnl.gov -------------------- Proceedings Chair -------------------- Marco Minutoli (PNNL and WSU), marco.minutoli(a)pnnl.gov -------------------- Artifact Evaluation Chair -------------------- Biagio Cosenza (University of Salerno), bcosenza(a)unisa.it -------------------- Technical Program Committee -------------------- Nesreen Ahmed, Intel, US Johnathan Alsop, AMD, US Eishi Arima, University of Tokyo, JP Scott Beamer, University of California, Santa Cruz, US Jonathan Beard, ARM, US Michela Becchi, North Carolina State University, US Sanjukta Bhowmick, University of North Texas, US Erik Boman, SNL, US David Brooks, Harvard University, US Prerna Budhkar, Intel, US Aydin Buluc, LBNL, US Anastasiia Butko, LBNL, US Assefaw Gebremedhin, Washington State University, US Rajiv Gupta, University of California, Riverside, US Peter M. Kogge, Notre Dame University, US John Leidel, Tactical Computing Lab, US Kamesh Madduri, Pennsylvania State University José Moreira, IBM Research, US Miquel Moretó, Barçelona Supercomputing Center, ES Maxim Naumov, Facebook, US Fanny Nina-Paravecino, Microsoft, US Roger Pearce, LLNL, US Keshav Pingali, University of Texas, Austin, US Alejandro Rico, ARM, US Jason Riedy, Georgia Tech, US Thomas B. Rolinger, University of Maryland, US Kentaro Sano, RIKEN, JP John Shalf, LBNL, US Shaden Smith, Microsoft, US Tyler Sorensen, Princeton, US Ruud van der Pas, Oracle, NL Ana Lucia Varbanescu, University of Amsterdam, NL Flavio Vella, Free University of Bozen, IT Other members TBD

1 0

Maple Conference 2020 Call for Presentations
by Juergen Gerhard 25 Jun '20

25 Jun '20

Hello, First, our sincerest apologies if you have received this message across multiple platforms, but we want to be sure that you hear about Maple Conference 2020! That's right, Maple Conference 2020 is happening November 2-6, 2020. This conference is dedicated to exploring different aspects of the math software Maple, including Maple's impact on education, new symbolic computation algorithms and techniques, and the wide range of Maple applications. Attendees will have the opportunity to learn about the latest research, share experiences, and interact with Maple developers. The conference will take place online, and will include live presentations and discussions as well as and recordings and chatrooms, in order to accommodate time zones. Maplesoft staff will also offer Maple training sessions on a variety of topics during the conference. Call for Presentations Maple Conference 2020 invites submissions of proposals for presentations on a range of topics related to Maple, falling into three broad categories: Maple in Education Topics could include, but are not limited to: * Effective ways to use Maple as a tool to support remote learning or hybrid courses * Innovative uses of Maple in the classroom (new ways to approach old problems, methods for using Maple to teach courses outside of traditional core math, impact on the curriculum, etc.) * Measurable improvements in student performance after integrating Maple into a course * Classroom tips and techniques/best practices drawn from experience Algorithms and Software Topics could include, but are not limited to: * Symbolic and symbolic-numeric methods for solving mathematical problems, from any field * Algorithm optimization and performance tuning techniques * Effective use of types and data representations for particular problems or domains * User interfaces for mathematical problem solving Applications of Maple Topics could include, but are not limited to: * Applications that use Maple in unusual settings or in unusual ways * Applications that push or extend the limit of what Maple can do * Applications that explore critical world problems * Applications that combine Maple with other technology All presentation proposals will be reviewed by the conference organizing committee. If the proposal is accepted, the submitter will be invited to present their work at the conference. After the conference, all presenters and invited speakers will be invited to submit a full paper for inclusion in the conference proceedings. These submissions will undergo peer-review, and the decision about acceptance or rejection lies with the Maple Conference 2020 Program Committee<https://www.maplesoft.com/mapleconference/Papers-and-Presentations.aspx>. Presentation Proposals Your presentation proposal should be in the form of a title and abstract for your proposed talk. Abstracts should be under one page/400 words in length, and must be in English. If your presentation proposal is accepted, at least one author is expected to attend the conference to present the paper. All presentations are to be given in English. Papers (optional) After the conference, all presenters and invited speakers will be invited to submit a full paper on the work they presented. These papers will undergo peer-review, and if accepted, will appear in the conference proceedings. Papers should not duplicate work published or submitted for consideration elsewhere. Papers must be in English and should be 6-15 pages in length. Please follow the Springer LNCS conference proceedings author instructions<https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…>. Authors should download the .zip file: "LaTeX2e Proceedings Templates." Submission Instructions Proposals should be in the form of a Word doc or a PDF. Submission is via EasyChair at https://easychair.org/conferences/?conf=maple2020 Conference Details and Important Dates Conference Date: November 2-6, 2020 Location: The conference will be held online. Program Chairs: Robert M. Corless, Western University, and JÃ¼rgen Gerhard, Maplesoft Submission Deadlines Abstract submission: July 15, 2020 Notification of acceptance/rejection of presentation proposal: August 31, 2020 Paper submission: December 31, 2020 Notification of paper acceptance/rejection: February 28, 2021 Camera-ready copy due: March 31, 2021 See you at Maple Conference 2020! Sincerely, Rob Corless and Jürgen Gerhard, Maple Conference 2020 Program Chairs (c) %%dynamic_content_1378%% Maplesoft, a division of Waterloo Maple Inc., 615 Kumpf Drive Waterloo ON Canada N2V1K8; customerservice(a)maplesoft.com<mailto:customerservice@maplesoft.com>. All trademarks are property of their respective owners. To manage subscriptions or to opt out of all commercial email communications from Maplesoft, please click here<%25%25unsubscribe%25%25>.

1 0

New Deadline July 17 for CFP for Virtualization in Machine Learning, High Performance Computing and Simulation
by Uday Kurkure 24 Jun '20

24 Jun '20

*The Third Special Session on Virtualization in Machine Learning, High Performance Computing and Simulation* *(VIRT 2020)* *CALL FOR PAPERS & PARTICIPATION* *As part of * *The 18th International Conference on High Performance Computing & Simulation (HPCS 2020)http://hpcs2020.cisedu.info/ <http://hpcs2020.cisedu.info/> or http://conf.cisedu.info/rp/hpcs20 <http://conf.cisedu.info/rp/hpcs20>* *26 - 30 October* * 2020* *Barcelona, Spain* *(Tentative)* * Paper Submission Deadline: 17 July 2020 - Extended* *Submissions could be for full papers, short papers, poster papers, or posters* *PURPOSE AND SCOPE* Virtualization has become the foundation of cloud computing. The scale of cloud computing data centers is similar to the supercomputers used in High Performance Computing. Both involve millions of CPU cores, tens of thousands of accelerators like GPUs, FPGAs connected by high speed interconnects and different connection topologies. Studies have shown that the GPU utilization in HPC is often at 50%. Virtualization can be the key to increasing resource utilization and managing massive infrastructures efficiently. GPU vendors have introduced virtualized versions of GPUs. FPGAs are being deployed in virtual infrastructure. These and other developments in the field, along with future exascale systems, will provide increasing degree of virtualization within the systems. The goal of this special session is to be an opportunity to discuss and exchange research on the different virtualization technologies and how they can be efficiently applied in High Performance Computing. Theoretical research, engineering solutions dealing with practical tradeoffs, and complex system implementation papers are welcomed. *The VIRT topics include (but are not limited to) the following: * - *Virtualization in HPC* o Energy efficient solutions for HPC applications in the cloud environment o High-availability based on system-level virtualization mechanisms for HPC o Fault tolerance mechanisms based on system-level virtualization mechanisms for HPC o Performance and evaluation of diverse HPC workloads in virtualization environment o Security Isolation, Resource Isolation and Data Isolation in Virtualized HPC o Flexibility and Ease of system administration and management for virtualized environments for HPC o Running diverse workloads o Running heterogeneous Operating Systems o Live Migration and Suspend/Resume of VMs to improve resource utilization and avoid downtime o Scheduling of resources and Workloads o Software Defined Data Centers (SDDC) o Hypervisors and other virtualization solutions tailored for HPC systems o Big Data and Analytics in Virtualized Environments o Enterprise High Performance Computing in Virtualized Environments - *Accelerators in Virtualized HPC Environments:* o Virtualized GPUs o Scheduling of Virtual GPUs o Using FPGAs in Virtualization Stack o Dynamic Reconfiguration of FPGAs - * IO Virtualization* o Network Virtualization o SR-IOV o Software Defined Networking (SDN) o Storage Virtualization o RDMA and vRDMA - - Containers in HPC o Isolation of Multiple User-Spaces o Running containers in Virtual Machines - *Tools* o Virtualization solutions for dealing with heterogeneity in HPC environments o Compilers for heterogenous architectures involving GPUS, FPGAs, multi-core CPUs o Operating system support for virtualization in HPC systems o Debugging and/or profiling in virtual environments - *Algorithms* o Distributed Resource Scheduling o Distributed Computing - *AI, Machine Learning and Deep Learning* o Virtualization of Deep Learning Workloads o Deep Learning in HPC Simulations o Resource Allocation Using Machine Learning o Reinforcement Learning for Resource Allocation o Machine Learning to build tools for measurement & calibration - *Virtualization in Simulation* *INSTRUCTIONS FOR PAPER SUBMISSIONS * You are invited to submit original and unpublished research works on above and other topics related to *virtualization in high performance computing and simulation*. Submitted papers must not have been published or simultaneously submitted elsewhere until it appears in HPCS proceedings, in the case of acceptance, or notified otherwise. Submission can be for *- Regular papers*, please submit a PDF copy of your full manuscript, not to exceed 8 double-column formatted pages per template, and include up to 6 keywords and an abstract of no more than 400 words. Additional pages will be charged additional fee. Submission should include a cover page with authors' names, affiliation addresses, fax numbers, phone numbers, and all authors email addresses. Please, indicate clearly the corresponding author(s) although all authors are equally responsible for the manuscript. *- Short papers* (up to 4 pages), please submit a PDF copy of your full manuscript, not to exceed 4 double-column formatted pages per template, and include up to 6 keywords and an abstract of no more than 400 words. Additional pages will be charged additional fee. Submission should include a cover page with authors' names, affiliation addresses, fax numbers, phone numbers, and all authors email addresses. Please, indicate clearly the corresponding author(s) although all authors are equally responsible for the manuscript. *- Poster papers* and *Posters* (please refer to http://hpcs2020.cisedu.info/1-call-for-papers-and-participation/call-for-po… for posters submission details) will also be considered. Please specify the type of submission you have. Please include page numbers on all preliminary submissions to make it easier for reviewers to provide helpful comments. Submit a PDF copy of your full manuscript to the special session paper submission site at https://cmt3.research.microsoft.com/VIRT2020 . Acknowledgement will be sent within 48 hours of submission. *Conference Policies* Only PDF files will be accepted, uploaded to the submission link above. Each paper will receive a minimum of three reviews. Papers will be selected based on their originality, relevance, significance, technical clarity and soundness, presentation, language, and references. Submission implies the willingness of at least one of the authors to register and present the paper, if accepted. At least one of the authors of each accepted paper will have to register and attend the HPCS 2020 conference to present the paper at the special session as scheduled. By submitting the paper to the HPCS conference, all authors agree to abide by all HPCS conference paper submission, publication and presentation policies as well as following ethical and professional codes of conduct, including those of the professional co-sponsoring organizations. Contents of manuscripts submitted to the tracks program committees shall be regarded as privileged as well and handled in the same manner and standards. For more information, please refer to the *Authors Info* and *Registration Info* pages. *Proceedings* Accepted papers will be published in the Conference proceedings. Instructions for final manuscript format and requirements will be posted on the HPCS 2020 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 or ACM Digital Library and indexed in all major indexing services accordingly. *SPECIAL ISSUE* Plans are underway to have the best papers, in extended version, selected for possible publication in a reputable journal as special issue. Detailed information will soon be announced and will be made available on the conference website. If you have any questions about paper submission or the special session, please contact the special session organizers. *IMPORTANT DATES* *Paper Submissions: ------------------------------------------- 17 July 2020 - Extended* *Acceptance Notification: -------------------------------------- 02 August 2020* *Camera Ready Papers and Registration Due by: ----------- 15 August 2020* *Conference Dates: -------------------------------------------- 26-30 October 2020* *SPECIAL SESSION ORGANIZERS* *Uday Kurkure * VMware, Inc. 3401 Hillview Avenue Palo Alto, CA 94304, USA Phone: +1 650-427-1179 Fax: +1 650- Email: uday(a)alumni.stanford.edu *Hari Sivaraman * VMware, Inc. 3401 Hillview Avenue Palo Alto, CA 94304, USA Phone: +1 650-427-3681 Fax: +1 650- Email: hsivaraman(a)vmware.com *Lan Vu * VMware, Inc. 3401 Hillview Avenue Palo Alto, CA 94304, USA Phone: +1 650-427-1327 Fax: +1 650- Email: lanv(a)vmware.com *International Program Committee*: * All submitted papers will be rigorously reviewed by the special session technical program committee members following similar criteria used in HPCS 2020 and will be published as part of the HPCS 2020 Proceedings. - *Cristina Boeres*, Fluminense Federal University, Brazil - *François Diakhaté,* CEA, France - *Isaac Gelado*, Nvidia Corp., Santa Clara, California, USA - *Kyle Hale*, Illinois Institute of Technology, Illinois, USA - *Giuseppe Lettieri,* University of Pisa, Italy - *Xiaoyi Lu*, The Ohio State University - Columbus, Ohio, USA - *Carlos Reano*, Queen's University Belfast, U.K. - *Federico Silla*, Universitat Politecnica de Valencia, Spain - *Alex Sim*, Lawrence Berkeley National Laboratory, California, USA - *Giang Son Tran*, University of Science and Technology of Hanoi, Hanoi, Vietnam - *Blesson Varghese*, Queen's University Belfast, U.K. - *Dong Ping Zhang*, AMD Inc., San Jose, California, USA - *Jie Zhang*, Amazon Inc., Washington, USA - *Yongli Zhao*, Beijing University of Posts and Telecommunications, Beijing, China

1 0

Open PhD student position at KIT
by Kondov, Ivan (SCC) 23 Jun '20

23 Jun '20

Dear all, We are inviting applicants for the following open position (see below). With my best regards, Ivan Kondov PhD Student Position (3 years 75% salary level E13) Enhancing e-mobility with artificial intelligence and uncertainty quantification Courses: Mathematics, Computer Science, Physics Topic The ability to quickly charge car batteries plays a key role in the acceptance of e-mobility. Furthermore, besides fulfilling all of the driver’s requirements, batteries should retain long life times. These challenges in e-mobility are tackled by the battery management system (BMS). To satisfactory meet all requirements, the BMS needs detailed information on battery function. Since this information is limited during operation, the BMS currently works with high safety margins that can significantly reduce battery performance. The plan of this project is to apply machine learning to the battery cells as well as the BMS to achieve an intelligent, individualized cell management that at any point uses each cell at its optimum performance based on extensive lifetime data. Initial training of an AI on a particular battery design is done in the lab using advanced equipment, collecting as much data as possible for subsequent retraining and optimization. In a second step, the BMS AI shall be implemented on simple hardware, where sufficient data is collected and stored such that the AI can be continuously improved individually for each battery cell. One key task of this thesis is to set up a model of the battery by using Gaussian Process Regression. This model (or digital twin) is used by the AI BMS. While providing efficient insight into the dynamics of the battery cell, Gaussian Process Regression enables the use of uncertainty quantification, which is then employed to obtain a more sophisticated idea of the dynamics of the developed model. In order to quantify how the cell behavior is affected by uncertainties, efficient uncertainty propagation models have to be developed and applied to the digital twin. Requirements Knowledge or experience in at least one of these methodological fields will be an advantage for the candidate: machine learning, artificial intelligence, or uncertainty quantification. Partners This project is one of 19 AI pilot projects of the Helmholtz Association. It is a joint project of Karlsruhe Institute of Technology, TU München and Forschungszentrum Jülich, and the PhD student will closely collaborate with both partners. Contacts Prof. Dr. Martin Frank Faculty of Mathematics Steinbuch Centre for Computing Karlsruhe Institute of Technology www.scc.kit.edu martin.frank(a)kit.edu Dr. Ivan Kondov Steinbuch Centre for Computing Karlsruhe Institute of Technology www.scc.kit.edu ivan.kondov(a)kit.edu

1 0

CFP - Workshop on Quantum Communications and Information Technology at IEEE Globecom 2020
by Peter Mueller 23 Jun '20

23 Jun '20

Call for Papers ------------------------------------------------------------------------ The sixth workshop on Quantum Communications and Information Technology (QCIT’20) http://qcit.committees.comsoc.org/ At IEEE Globecom’20, Taipei, Taiwan, 7-11 December 2020 http://globecom2020.ieee-globecom.org ------------------------------------------------------------------------ Scope of the workshop: Recent experimental results confirm feasibility of real applications in quantum communications, computing, security, and sensing. Companies and governments started to invest significant amounts of funding in research and development of quantum technologies. These developments are offering numerous opportunities to contribute to the research and engineering aspects of quantum technologies. On the scientific side, the workshop also addresses novel ideas in the fields of quantum communications and information processing, which contribute to the general know-how of quantum technologies. The following topics are key to the workshop, but not exclusive: - Quantum communications - Entanglement distillation & swapping - Quantum state discrimination - Quantum sensing & metrology - Quantum coding theory - Homomorphic applications - Quantum networks - Quantum algorithms - Error Correction for quantum systems - Interconnection and complexity theory - Modeling and simulation - Optimized algorithms and applications - Quantum eco-system - Other topics related to quantum communications and information processing Submission info for camera-ready manuscripts: Original and unpublished regular papers are solicited from the above-mentioned areas. Regular papers have a length of 4 to 6 pages with an optional payable 7th page. All manuscripts will be peer reviewed and published in the workshop proceedings and after presentation in IEEE Xplore. Templates for the manuscripts can be downloaded from: https://www.ieee.org/conferences_events/conferences/publishing/templates.ht… The formatted manuscript should be electronically submitted as pdf via EDAS: https://edas.info/N27538 Further information is available in the Globecom 2020 webpages: http://globecom2020.ieee-globecom.org Important dates: Manuscript submission due date: 17. July 2020 Notification date: 17. August 2020 Final manuscript due date: 1. October 2020 QCIT’20 workshop date: 7. December 2020 (Afternoon) Globecom’20 conference date: 7.-11. December 2020 Workshop organizers: Andrea Conti, University of Ferrara, Italia Lajos Hanzo, University of Southampton, United Kingdom Peter Mueller, IBM Research Zurich Laboratory, Switzerland Michael Ng, University of Southampton, United Kingdom

1 0

CFP - HPBench2020
by Samar Aseeri 23 Jun '20

23 Jun '20

Dear Sir, dear Madam, Please, can you pass this announcement also to interested colleagues. Kind regards ========================================================================== CALL FOR PAPERS The 7th Special Session on High Performance Computing for Application Benchmarking and Optimization (HPBench 2020) As part of the International Conference on High Performance Computing & Simulation (HPCS 2020) http://hpcs2020.cisedu.info/ or http://conf.cisedu.info/rp/hpcs20 Barcelona, Spain ========================================================================== Benchmarking is an essential aspect of modern high performance computing and computational science, and as such, it provides a means for quantifying and comparing the performance of different computer systems. With a large combination of aspects to benchmark, all the way from the capability of a single core, to cluster configuration, and to various software configurations, the benchmarking process is more of an art than science. However, the results of this process drive modern science and are vital for the community to draw sensible conclusions on the performance of applications and systems. This special session focuses on research work aimed at benchmarking modern parallel and distributed systems for addressing a number of real world problems. As such, contributions concerning the definition of new open platforms, new benchmarks to match modern architectural evolutions, studies on the aspects of benchmarking different aspects of systems (from raw runtime performance to energy consumption to energy consumed per data movement) and mathematical foundations of benchmarking are sought. IMPORTANT DATES : Papers Due: 1 July 2020 Author Notification: 22 July 2020 Camera-Ready Submission: 10 August 2020 Conference Dates: 26-30 October 2020 TOPICS : The HPBench topics of interest include, but are not limited to -Open Platforms for Parallel and Distributed Application Benchmarking and Optimization -Benchmarking on the Cloud -Benchmarking of Clusters, Supercomputers, and large-scale systems -Benchmarking the Performance of I/O -Benchmarking of Energy and Energy Efficiency -Benchmarking Web Services -Virtualization for Distributed Benchmarking -Data Distribution for Benchmarking -Performance results of benchmarks on modern platforms -Scalability Aspects of Benchmarking Parallel Applications on Parallel and Distributed Systems -Benchmarking of Parallel Scientific and Business Applications -Performance of Benchmarking Applications (Eg: NAS parallel benchmarks) -Techniques, frameworks and results concerning the benchmarking of library packages -Tools and frameworks for performance modeling systems and applications -Tools and frameworks for simulation, measurement and monitoring -Performance Measurements, Monitoring, Modeling and Simulation -Domain-specific benchmarks and applications (such as image processing, pattern recognition, cryptography, biometrics, differential equation solvers, signal processing and alike) -Mathematical Foundations of Benchmarking, Metrics and Heuristics GENERAL CHAIRS : Samar Aseeri, King Abdullah University of Science and Technology, Saudi Arabia Jordi Blasco, New Zealand eScience Infrastructure & Landcare Research, New Zealand Luigi Iapichino, Leibniz Supercomputing Centre (LRZ), Germany TECHNICAL PROGRAM COMMITTEE: Cosimo Anglano, Universitá del Piemonte Orientale, Italy Fabio Baruffa, Intel, Germany Ben Blamey, Uppsala University, Sweden Suren Byna, Lawrence Berkeley National Laboratory, California, USA Paul Carpenter, Barcelona Supercomputing Center, Spain Douglas Doerfler, Lawrence Berkeley National Laboratory, USA Zhiyi Huang, University of Otago, New Zealand Clay Hughes, Sandia National Laboratories, USA Aleksandar Ilic, Universidade de Lisboa, Portugal Bok Jik Lee, Seoul National University, Korea Ravi Reddy Manumachu, University College Dublin, Ireland Dana Petcu, West University of Timisoara, Romania Ivan Rodero, Rutgers University, USA ********************************************************************* For more information see http://conf.cisedu.info/rp/hpcs20/2-conference/special-sessions/session02-h… Kind Regards -- Samar Aseeri, PhD Computational Scientist Extreme Computing Research Center (ECRC) Building 1 -Office: 0128 *King Abdullah University of Science & Technology* Thuwal, Saudi Arabia -- This message and its contents, including attachments are intended solely for the original recipient. If you are not the intended recipient or have received this message in error, please notify me immediately and delete this message from your computer system. Any unauthorized use or distribution is prohibited. Please consider the environment before printing this email.

1 0