May 2022 - hpc-announce - mailman3.cels.anl.gov

LLVM-HPC2022 at SC22 - Call for Papers!
by Perry-Holby, Alexis 31 May '22

31 May '22

CALL FOR PAPERS ======================================================================= LLVM-HPC2022: The Eighth Workshop on the LLVM Compiler Infrastructure in HPC https://llvm-hpc-2022-workshop.github.io/ November 13th, 2022, Dallas, TX In conjunction with SC22: The International Conference for High Performance Computing, Networking, Storage, and Analysis ======================================================================= The eighth annual LLVM in HPC Workshop, held in conjunction with SC22 and in cooperation with ACM and the IEEE Computer Society. LLVM, winner of the 2012 ACM Software System Award, has become an integral part of the software-development ecosystem for optimizing compilers, dynamic-language execution engines, source-code analysis and transformation tools, debuggers and linkers, and a whole host of programming-language and toolchain-related components. Now heavily used in both academia and industry, where it allows for rapid development of production-quality tools, LLVM is increasingly used in work targeted at high-performance computing. Research in, and implementation of, program analysis, compilation, execution, and profiling has clearly benefited from the availability of a high-quality, freely-available infrastructure on which to build. This eighth annual workshop will feature contributed papers and invited talks focusing on recent developments, from both academia and industry, that build on LLVM to advance the state of the art in high-performance computing. Topics of interest include, but are not limited to: * Compiler design for highly-concurrent/parallel environments * Compilation techniques targeted at high-performance-computing codes * Programming-language implementation techniques enabling high performance and high productivity * Embedding compilation and dynamic execution at scale * Tools for optimization, profiling, and feedback * Source code transformation and analysis * Gap analyses of open-source LLVM-based tools Deadlines: * Paper submissions due: August 19, 2022 * Notification to authors of acceptance: September 9, 2022 * Camera-ready papers due: October 14, 2022 * Workshop takes place: November 13, 2022 Please see the SC22 home page (https://sc22.supercomputing.org/) for registration deadlines and other information associated with the parent event. Submissions: Please submit papers using the SC22 submissions system (https://submissions.supercomputing.org/) by selecting the "SC22 Workshop: LLVM-HPC2022 Full Papers" form. Papers must be in IEEE conference format, should be no more than 12 pages (including references and figures), and must be at least 8 pages long. Direct links to the submission form and other information are available on the workshop web page. Proceedings: The proceedings will be archived in IEEE Xplore through IEEE CS. Organizers: Alexis Perry-Holby, Los Alamos National Laboratory, aperry(a)lanl.gov<mailto:[email protected]> James Brodman, Intel Corporation, james.brodman(a)intel.com<mailto:[email protected]> John Leidel, Tactical Computing Laboratories, jleidel(a)tactcomplabs.com<mailto:[email protected]> Patrick McCormick, Los Alamos National Laboratory, pat(a)lanl.gov<mailto:[email protected]> Program Committee: Madhur Amilkanthwar, NVIDIA James Brodman, Intel Corporation Sunita Chandrasekaran, University of Delaware Albert Cohen, Google Christian DeLozier, US Naval Academy Tobias Grosser, University of Edinburgh Alice Koniges, University of Hawaii, Maui HPC Center John Leidel, Tactical Computing Labs, LLC Patrick McCormick, Los Alamos National Laboratory Cameron McInally, NVIDIA EunJung Park, Qualcomm Inc. Alexis Perry-Holby, Los Alamos National Laboratory Nirmal Prajapati, Los Alamos National Laboratory Nadav Rotem, Facebook Amalee Wilson, Stanford University Frank Winter, Thomas Jefferson National Accelerator Facility Michael Wong, Codeplay Software Ltd., Khronos Group Inc.

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ACM International Conference on Information Technology for Social Good (GoodIT 2022): Last Mile for Paper Submission
by Announce Announcements 31 May '22

31 May '22

*** Last Mile for Paper Submission *** ACM International Conference on Information Technology for Social Good (GoodIT 2022) 7–9 September, 2022, 5* St. Raphael Resort & Marina, Limassol, Cyprus https://cyprusconferences.org/goodit2022/ (*** Submission Deadline Extension (firm!): 6 June, 2022 ***) Scope The ACM GoodIT conference seeks papers describing significant research contributions related to the application of information technologies (IT) to social good. Social good is typically defined as something that provides a benefit to the general public. In this context, clean air and water, Internet connection, education, and healthcare are all good examples of social goods. However, new media innovations and the explosion of online communities have added new meaning to the term. Social good is now about global citizens uniting to unlock the potential of individuals, technology, and collaboration to create a positive societal impact. GoodIT solicits papers that address important research challenges related to, but not limited to: • Citizen science • Civic intelligence • Decentralized approaches to IT • Digital solutions for Cultural Heritage • Environmental monitoring • Ethical computing • Frugal solutions for IT • Game, entertainment, and multimedia applications • Health and social care • IT for automotive • IT for development • IT for education • IT for smart living • Privacy, trust and ethical issues in ICT solutions • Smart governance and e-administration • Social informatics • Socially responsible IT solutions • Sustainable cities and transportation • Sustainable IT • Technology addressing the digital divide Paper Submission The papers should not exceed eleven (11) pages single-column, including figures, tables, and references in the new ACM format (https://cyprusconferences.org/goodit2022/index.php/authors/ ). They must be original works and must not have been previously published. At least one of the authors of all accepted papers must register and present the work at the conference; otherwise, the paper will not be published in the proceedings. All accepted and presented papers will be included in the conference proceedings published in the ACM Digital Library. In addition to a Main Track, the conference features 9 additional Special Tracks. More information on these tracks is available on the conference web site. Journal Special Issues and Best Paper Award Selected papers will be invited to submit an extended version to two special journal issues: • FGCS, Elsevier (https://www.sciencedirect.com/journal/future-generation-computer-systems) • MDPI Sensors, where the theme of the special issue will be "Application of Information Technology (IT) to Social Good" (https://www.mdpi.com/journal/sensors/special_issues/topical_collection_good… ). Specifically 5 papers will be invited free of charge and another 5 papers will get a 20% discount on the publication fees. Furthermore, MDPI Sensors will sponsor a Best Paper Award with the amount of 400 CHF. Work-in-Progress and PhD Track Inside ACM GoodIT, the Work-in-Progress and PhD Track provides an opportunity to showcase interesting new work that is still at an early stage. We encourage practitioners and researchers to submit to the Work-in-Progress venue as it provides a unique opportunity for sharing valuable ideas, eliciting feedback on early-stage work, and fostering discussions and collaborations among colleagues. Moreover, this track provides a platform for PhD students to present and receive feedback on their ongoing research. Students at different stages of their research will have the opportunity to present and discuss their research questions, goals, methods and results. This is an opportunity to obtain guidance on various aspects of their research from established researchers and other PhD students working in research areas related to technologies for social good. Important: For this specific track, papers must not exceed nine (9) pages single column, including figures, tables, and references in the new ACM format (https://cyprusconferences.org/goodit2022/index.php/authors/ ). Submission Instructions All papers must be submitted electronically via the hotcrp web site (https://goodit2022.hotcrp.com ). Once on the submission page, you will be able to select the track where to submit your paper. Important Dates • Submission deadline for all types of contributions: 6 June 2022 CEST (***extended and firm!***) • Notification of acceptance: 30 June 2022 • Camera-ready submission and author registration: 15 July 2022 Conference Committees https://cyprusconferences.org/goodit2022/committees/

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InteractiveHPC workshop at ISC: Call for participation
by BROWN Nicholas 31 May '22

31 May '22

===================================== Call for participation: Fifth workshop on Interactive HPC When: Thursday 2nd June 2022 between 2pm and 6pm Where: Hall Y9, second floor Hamburg conference centre Agenda: https://www.interactivehpc.com/ ===================================== Interactive exploration and analysis of large data sets, intelligent simulation workflows that combine interactive analysis and AI techniques with modeling and simulation, interactive preparation and debugging of large-scale scientific simulations, in-situ visualization, and application steering are all compelling scenarios for High Performance Computing sytems. However, a range of technical, organizational, and sociological challenges must be overcome to make these interactive workflows mainstream in HPC centers: What simulation scenarios or problem domains can benefit most from interactivity? How can we simplify the toolchain? What center policies are needed to support highly interactive workflows? The goal of this workshop is to bring together domain scientists, tool developers, and HPC center administrators to identify the scientific impact and technical challenges of highly interactive access to HPC resources. We have an exciting session planned, with some interesting talks (see https://www.interactivehpc.com/) Furthermore, there is the opportunity to be involved in a position paper on interactive HPC, where we will have a special session towards the end of the workshop to collaboratively draft a position paper around interactive HPC, exploring the successes to date and describing aspects that require further enhancement and support from the community. We plan on submitting this after the workshop to a top journal, with contributors being named as co-authors. The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th’ ann an Oilthigh Dhùn Èideann, clàraichte an Alba, àireamh clàraidh SC005336.

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[CFP Deadline July 28, 2022, 23:59:59 AoE] - 2022 BenchCouncil International Symposium on Benchmarking, Measuring and Optimizing (Bench'22)
by gaowanling 30 May '22

30 May '22

[Apologies if you receive multiple copies of this CFP] CALL FOR PAPERS ========================================================== 2022 BenchCouncil International Symposium on Benchmarking, Measuring and Optimizing (Bench'22) http://www.benchcouncil.org/bench22/index.html Full Papers deadline: July 28, 2022, 23:59:59 AoE Notification: September 6, 2022, 23:59:59 AoE Final Papers due: October 11, 2022, 23:59:59 AoE Conference date: Nov. 7th - Nov. 9th, 2022 (Virtual) Submission site: https://bench2022.hotcrp.com/ ========================================================== Introduction ---------------- Benchmarks, Data, Standards, Measurements, and Optimizations are fundamental human activities and assets. The Bench conference has two essential duties: promote data or benchmark-based quantitative approaches to tackle multidisciplinary and interdisciplinary challenges; connect architecture, system, data management, algorithm, and application communities to better co-design for the inherent workload characterizations. The Bench conference provides a high-quality, single-track forum for presenting results and discussing ideas that further the knowledge and understanding of the benchmarks, data, standards, measurements, and optimizations community as a whole. It is a multidisciplinary and interdisciplinary conference. The past meetings attracted researchers and practitioners from the architecture, system, algorithm, and application communities. It includes both invited sessions and contributed sessions. Regularly, the Bench conference will present the BenchCouncil Achievement Award ($3000), the BenchCouncil Rising Star Award ($1000), the BenchCouncil Best Paper Award ($1000), and the BenchCouncil Distinguished Doctoral Dissertation Awards in Computer Architecture ($1000) and in other areas ($1000). This year, the BenchCouncil Distinguished Doctoral Dissertation Award includes two tracks: computer architecture and other areas. Among the submissions of each track, four candidates will be selected as finalists. They will be invited to give a 30-minute presentation at the Bench’22 Conference and contribute research articles to BenchCouncil Transactions on Benchmarks, Standards and Evaluation. Finally, for each track, one among the four will receive the award for each track, which carries a $1,000 honorarium. Organization ----------------- General Chairs Emmanuel Jeannot, INRIA, France Peter Mattson, Google, USA Wanling Gao, University of Chinese Academy of Sciences, China Program Chairs Chunjie Luo, ICT, Chinese Academy of Sciences, China Ce Zhang, ETH Zurich, Switzerland Ana Gainaru, Oak Ridge National Laboratory, USA Publicity Chairs David Kanter, MLCommons Rui Ren, Beijing Institute of Open Source Chip Zhen Jia, Amazon Web Chair Jiahui Dai, BenchCouncil Qian He, Beijing Institute of Open Source Chip Award Committees BenchCouncil Distinguished Doctoral Dissertation Award Committee in Other Areas: Prof. Jack Dongarra, University of Tennessee Dr. Xiaoyi Lu, The University of California, Merced Dr. Jeyan Thiyagalingam, STFC-RAL Dr. Lei Wang, ICT, Chinese Academy of Sciences Dr. Spyros Blanas, The Ohio State University BenchCouncil Distinguished Doctoral Dissertation Award Committee in Computer Architecture: Dr. Peter Mattson, Google Dr. Vijay Janapa Reddi, Harvard University Dr. Wanling Gao, Chinese Academy of Sciences Bench Steering Committees Jack Dongarra, University of Tennessee Geoffrey Fox, Indiana University D. K. Panda, The Ohio State University Felix, Wolf, TU Darmstadt Xiaoyi Lu, University of California, Merced Wanling Gao, ICT, Chinese Academy of Sciences & UCAS Jianfeng Zhan, ICT, Chinese Academy of Sciences &BenchCouncil Call for papers ------------------------ The Bench conference encompasses a wide range of areas and topics in benchmarking, measurement, evaluation methods and tools. We solicit papers describing original and previously unpublished work. The areas and topics of interest include, but are not limited to the following. Areas: **Architecture: The benchmarking of the architecture and the hardware, e.g. the benchmark suite for CPU, GPU, Memory, HPC. **Data Management: The evaluation of the data management and storage, e.g. the benchmark specifications and tools for database. **Algorithm: The evaluation of the algorithm, e.g. the evaluation rules and datasets in machine learning, deep learning, reinforce learning. **Datasets: Evaluation of data quality, algorithms for optimizing data, and datasets used for research and benchmarking. **System: The testing of the software system, e.g. the testing of operating system, distributed system, web server. **Network: The measurement of communication network, e.g. the measurement of network in data center, wireless, mobile, ad-hoc and sensor networks. **Reliability and Security: The measurement of reliability and security. **Application: The measurement of application in medical, finance, education, etc. Topics: **Benchmark and standard specifications, implementations, and validations: -Big Data, Artificial intelligence (AI), High performance computing (HPC), Machine learning, Warehouse-scale computing, Mobile robotics, Edge and fog computing, Internet of Things (IoT), Blockchain, Data management and storage, Financial, Education, Medical or other application domains. **Dataset Generation and Analysis: -Research or industry data sets, including the methods used to collect the data and technical analyses supporting the quality of the measurements; Analyses or meta-analyses of existing data and original articles on systems, technologies and techniques that advance data sharing and reuse to support reproducible research; Evaluations of the rigor and quality of the experiments used to generate data and the completeness of the descriptions of the data; Tools generating large-scale data. **Workload characterization, quantitative measurement, design and evaluation studies: -Characterization and evaluation of Computer and communication networks, protocols and algorithms; Wireless, mobile, ad-hoc and sensor networks, IoT applications; Computer architectures, hardware accelerators, multi-core processors, memory systems and storage networks; HPC systems; Operating systems, file systems and databases; Virtualization, data centers, distributed and cloud computing, fog and edge computing; Mobile and personal computing systems; Energy-efficient computing systems; Real-time and fault-tolerant systems; Security and privacy of computing and networked systems; Software systems and services, and enterprise applications; Social networks, multimedia systems, web services; Cyber-physical systems. **Methodologies, abstractions, metrics, algorithms and tools: -Analytical modeling techniques and model validation; Workload characterization and benchmarking; Performance, scalability, power and reliability analysis; Sustainability analysis and power management; System measurement, performance monitoring and forecasting; Anomaly detection, problem diagnosis and troubleshooting; Capacity planning, resource allocation, run time management and scheduling; Experimental design, statistical analysis and simulation. Measurement and evaluation: -Evaluation methodologies and metrics; Testbed methodologies and systems; Instrumentation, sampling, tracing and profiling of large-scale, real-world applications and systems; Collection and analysis of measurement data that yield new insights; Measurement-based modeling (e.g., workloads, scaling behavior, assessment of performance bottlenecks); Methods and tools to monitor and visualize measurement and evaluation data; Systems and algorithms that build on measurement-based findings; Advances in data collection, analysis and storage (e.g., anonymization, querying, sharing); Reappraisal of previous empirical measurements and measurement-based conclusions; Descriptions of challenges and future directions that the measurement and evaluation community should pursue. 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 the LNCS format, not including references. The submissions will be judged based on the merit of the ideas rather than the length. The reviewing process is double-blind. Upon acceptance, the proceeding will be published by Springer LNCS (Indexed by EI). Please note that the LNCS format is the final one for publishing. Distinguished papers will be recommended to and published by the BenchCouncil Transactions on Benchmarks, Standards and Evaluation (TBench). 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 pre-registered will be removed from the proceedings. Submission site: https://bench2022.hotcrp.com/ LNCS Latex template: https://www.benchcouncil.org/file/llncs2e.zip Awards --------------------- * 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 Distinguished Doctoral Dissertation Award ($2000) - This award recognizes and encourages superior research and writing by doctoral candidates in the broad field of benchmarks, data, standards, evaluations, and optimizations community. This year, the award includes two tracks, including the BenchCouncil Distinguished Doctoral Dissertation Award in Computer Architecture ($1000) and BenchCouncil Distinguished Doctoral Dissertation Award in other areas ($1000). Technical Program Committee ----------------- Murali Krishna Emani, ANL Shin-ying Lee, AMD Steve Farrell, NERSC Krishnakumar Nair, Meta Greg Diamos, Landing.AI Fei Sun, Alibaba Narayanan Sundaram, Facebook Zhen Jia, Amazon Shengen Yan, SenseTime Gang Lu, Tencent Rui Ren, Beijing Open-Source IC Academy Bin Hu, ICT, CAS Khaled Ibrahim, Lawrence Berkeley National Laboratory Sascha Hunold, TU Wien Woongki Baek, UNIST Mario Marino, Leeds Beckett University Bin Ren, William & Mary Gwangsun Kim, POSTECH Vladimir Getov, University of Westminster Guangli Li, ICT, CAS

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CFP ScalAH@SC: 13th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Heterogeneous Systems - Papers due August 9
by Engelmann, Christian 30 May '22

30 May '22

We apologize if you receive multiple copies of this notice. ----------------------------------------------------------------------------- ScalAH22: 13th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Heterogeneous Systems held in conjunction with SC22: The International Conference on High Performance Computing, Networking, Storage and Analysis in cooperation with the IEEE Computer Society November 13, 2022, Dallas, TX, USA <http://www.csm.ornl.gov/srt/conferences/Scala/2022> Novel hybrid scalable scientific algorithms are needed with the advent of variety of novel accelerators including graphics processing units (GPUs), field-programmable gate arrays (FPGAs) as well as with the growth of the size of quantum computing devices and neuromorphic chips and various artificial intelligence (AI) specific processors. This myriad of devices requires an unified hybrid approach that allows efficient and scalable hybrid approaches combining classical and novel computing paradigms to be implemented at scale. These extreme-scale heterogeneous systems require novel scientific algorithms to hide the complexity, hide network and memory latency, have advanced communication, and have no synchronization points where possible. With the advent of AI in the past few years the need of such scalable mathematical methods and algorithms for such hybrid architectures that are able to handle data and compute intensive applications at scale becomes even more important. Scientific algorithms for multi-petaflop and exa-flop systems also need to be fault tolerant and fault resilient, since the probability of faults increases with scale. Resilience at the system software and at the algorithmic level is needed as a crosscutting effort. Key science applications require novel mathematics and mathematical models and system software that address the scalability and resilience challenges of current- and future-generation extreme-scale heterogeneous high performance computing (HPC) systems. Submission Guidelines --------------------- Authors are invited to submit manuscripts in English structured as technical papers at a length of at least 6 letter size (8.5in x 11in) pages and not exceeding 8 pages, including figures, tables, and references using the IEEE format for conference proceedings. Reference style files are available at <http://www.ieee.org/conferences_events/conferences/publishing/templates.html>. 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. Papers should be submitted electronically at <https://submissions.supercomputing.org>. All manuscripts will be peer-reviewed and judged on correctness, originality, technical strength, and significance, quality of presentation, and interest and relevance to the workshop attendees. Accepted papers will be published with the IEEE Computer Society in the IEEE Xplore Digital Library. At least one author of an accepted paper must register for and present the paper at the workshop (in-person live, remote live or pre-recorded video): <https://sc22.supercomputing.org/submit/in-person-presentations>. Authors may contact the workshop program chair, Christian Engelmann at <engelmannc(a)ornl.gov>, for more information. Reproducibility Initiative -------------------------- As part of a major initiative that aims to increase the level of reproducibility and replicability of results, ScalAH22 invites authors of technical papers to submit optional appendix information that can promote better reproducibility of computational results. Submitted Artifact Description (AD) and Artifact Evaluation (AE) appendices will follow the SC22 conference model and review process. Learn more about the Reproducibility Initiative: <https://sc22.supercomputing.org/reproducibility-initiative/>. Important Web Sites ------------------- - ScalAH22 Website: <https://www.csm.ornl.gov/srt/conferences/Scala/2022> - ScalAH22 Submissions: <https://submissions.supercomputing.org> - SC22 website: <http://sc22.supercomputing.org/> Important Dates --------------- - Full paper submission: August 9, 2022 - Notification of acceptance: September 9, 2022 - Pre-recorded video submission (firm): September 30, 2022 - Final paper submission (firm): October 14, 2022 - Workshop/conference early registration: October 14, 2022 - Workshop: November 13, 2022 Topics of interest include, but are not limited to: --------------------------------------------------- - Novel scientific algorithms that improve performance, scalability, resilience and power efficiency on hybrid architectures - Porting scientific algorithms and applications to hybrid and heterogeneous architectures (with different accelerators, hybrid classical/quantum, classical/AI accelerated, etc.) - Crosscutting approaches (system software and applications) in addressing scalability challenges on hybrid architectures - Naturally fault tolerant, self-healing or fault oblivious scientific algorithms for hybrid architectures - Methods and algorithms for silent data corruption with systems at scale - Ensuring algorithms scalability over various accelerator partitions/islands, and taking advantage where the system itself has different kinds of specialized compute nodes Workshop Chairs --------------- - Vassil Alexandrov, Hartree Centre, Science and Technology Facilities Council, UK - Jack Dongarra, University of Tennessee, Knoxville, USA - Al Geist, Oak Ridge National Laboratory, USA - Dieter Kranzlmueller, Leibniz Supercomputing Centre and Ludwig-Maximilians-University Munich, Germany - Ivano Tavernelli, IBM Zurich, Switzerland Workshop Program Chair ---------------------- - Christian Engelmann, Oak Ridge National Laboratory, USA Contact at engelmannc(a)ornl.gov Program Committee ----------------- - Hartwig Anzt, University of Tennessee, Knoxville, USA, and Karlsruher Institute for Technology (KIT), Germany - Rick Archibald, Oak Ridge National Laboratory, USA - Hans-Joachim Bungartz, Technical University of Munich, Germany - James Elliott, Sandia National Laboratories, USA - Nahid Emad, University of Versailles SQ, France - Wilfried Gansterer, University of Vienna, Austria - Yasuhiro Idomura, Japan Atomic Energy Agency, Japan - Kirk E. Jordan, IBM T.J. Watson Research, USA - Aneta Karaivanova, Bulgarian Academy of Sciences, Bulgaria - Alison Kennedy, Hartree Centre, Science and Technology Facilities Council, UK - Dieter Kranzlmueller, Ludwig-Maximilians-University Munich, Germany - Sriram Krishnamoorthy, Google, USA - Ignacio Laguna, Lawrence Livermore National Laboratory, USA - Paul Lin, Lawrence Berkeley National Laboratory, USA - Kengo Nakajima, RIKEN, Japan - Ron Perrot, University of Oxford, UK - Yves Robert, ENS Lyon, France - Stuart Slattery, Oak Ridge National Laboratory, USA - Keita Teranishi, Sandia National Laboratories, USA -- Christian Engelmann, Ph.D. Senior Scientist & Group Leader Intelligent Systems and Facilities Group Advanced Computing Systems Research Section 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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Call for participation: Accelerator Architecture in Computational Biology and Bioinformatics workshop (at ISCA 2022)
by leonid.yavits＠nububbles.com 30 May '22

30 May '22

We welcome you to take part in the 4th Accelerator Architecture in Computational Biology and Bioinformatics workshop (AACBB-2022) In conjunction with 49th IEEE International Symposium on Computer Architecture June 18th 2022 New York City, New York, USA Featuring invited talks by - Lisa Wu Willis, Duke - Onur Mutlu, ETH Zurich and CMU - Tajana Rosing, UCSD Workshop website https://aacbb-workshop.github.io/ Accepted papers: 1. Alireza Mohammadidoost, Kyle Smith and Yatish Turakhia: GPU Acceleration of Pairwise Sequence Alignment Using Wavefront Skipping 2. Miquel Moreto and Santiago Marco-Sola: Accelerating the Wavefront Alignment Algorithm on CPUs, GPUs and FPGAs 3. Elena Espinosa, Ivan Fernandez, Rafael Larrosa Jiménez and Oscar Plata: Whole-Genome Assembly: An Experimental Study of Computational Costs and Architectural Opportunities 4. Damla Senol Cali, Saugata Ghose and Onur Mutlu: Accelerating Genome Sequence Analysis via Efficient Hardware/Algorithm Co-Design 5. Zheming Jin: Performance Portability of Epistasis Detection using SYCL on a GPU 6. Yuhao Fang, Aman Sinha and Bo-Cheng Lai: REAL-GSM: Re-programmable Engines for Acceleration on LPDDR4x-based Stacked DRAM to support Genomic String Matching 7. Nika Mansouri Ghiasi, Jisung Park, Harun Mustafa, Jeremie Kim, Ataberk Olgun, Arvid Gollwitzer, Damla Senol Cali, Can Firtina, Haiyu Mao, Nour Almadhoun Alserr, Rachata Ausavarungnirun, Nandita Vijaykumar, Mohammed Alser and Onur Mutlu: GenStore: A High-Performance In-Storage Processing System for Genome Sequence Analysis 8. Esteban Garzón, Roman Golman, Zuher Jahshan, Robert Hanhan, Natan Vinshtok-Melnik, Marco Lanuzza, Adam Teman, Leonid Yavits: Hamming Distance vs. Edit Distance for Approximate Associative Genomic Processing List of Topics This workshop focuses on architecture and design of hardware and software accelerators for computational biology and bioinformatics problems. Topics of interest include, but are not limited to the following: - Hardware and software algorithms/applications in the fields of computational biology, such as (but not limited to): - Bioinformatics - Genomics - Proteomics - Protein structure prediction - Covid-19 pandemic - Bioinformatics and computational biology accelerator architecture and design based on (but not limited to): - 3D memory-logic stack - Near-data (in-memory) processing - In-data processing - FPGAs - Reconfigurable architectures - Emerging memory technologies and their impact on bioinformatics and computational biology - Impact of bioinformatics and biology applications on computer architecture research - Bioinformatics and computational biology-inspired hardware/software trade-offs Committees Program Committee - Ananth Kalyanaraman, WSU - Can Alkan, Bilkent University - Engin Ipek, University of Rochester - Jason Cong, UCLA - Mattan Erez, UT Austin - Mircea Stan, UVA - Onur Mutlu, ETH/CMU - Ran Ginosar, Technion - Ronnie Ronen, Technion - Yuan Xie, UCSB Organizing committee - Leonid Yavits* (leonid.yavits(a)gmail.com) - Yatish Turakhia^ (yturakhia(a)eng.ucsd.edu) * Department of Engineering, Bar Ilan University ^ Department of Electrical and Computer Engineering, University of California, San Diego Contact All questions about submissions should be emailed to Leonid Yavits (leonid.yavits(a)gmail.com)

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CFP: PAW-ATM: Parallel Applications Workshop, Alternatives To MPI+X (with SC22)
by Dan Bonachea 29 May '22

29 May '22

************************************************ Call for Papers PAW-ATM 2022: Parallel Applications Workshop, Alternatives To MPI+X Held in conjunction with SC22, Dallas, TX Submissions deadline: July 29, 2022 https://sourceryinstitute.github.io/PAW ************************************************ Summary As supercomputers become more and more powerful, the number and diversity of applications that can be tackled with these machines grows. Unfortunately, the architectural complexity of these supercomputers grows as well, with heterogeneous processors, multiple levels of memory hierarchy, and many ways to move data and synchronize between processors. The MPI+X programming model, use of which is considered by many to be standard practice, demands that a programmer be expert in both the application domain and the low-level details of the architecture(s) on which that application will be deployed, and the availability of such superhuman programmers is a critical bottleneck. Things become more complicated when evolution and change in the underlying architecture translates into significant re-engineering of the MPI+X code to maintain performance. Numerous alternatives to the MPI+X model exist, and by raising the level of abstraction on the application domain and/or the target architecture, they offer the ability for "mere mortal" programmers to take advantage of the supercomputing resources that are available to advance science and tackle urgent real-world problems. However, compared to the MPI+X approach, these alternatives generally lack two things. First, they aren't as well known as MPI+X and a domain scientist may simply not be aware of models that are a good fit to their domain. Second, they are less mature than MPI+X and likely have more functionality or performance "potholes" that need only to be identified to be addressed. PAW-ATM is a forum for discussing HPC applications written in alternatives to MPI+X. Its goal is to bring together application experts and proponents of high-level languages to present concrete example uses of such alternatives, describing their benefits and challenges. Scope and Aims The PAW-ATM workshop is designed to be a forum for discussion of supercomputing-scale parallel applications and their implementation in programming models outside of the dominant MPI+X paradigm. Papers and talks will explore the benefits (or perhaps drawbacks) of implementing specific applications with alternatives to MPI+X, whether those benefits are in performance, scalability, productivity, or some other metric important to that application domain. Presenters are encouraged to generalize the experience with their application to other domains in science and engineering and to bring up specific areas of improvement for the model(s) used in the implementation. In doing so, our hope is to create a setting in which application authors, language designers, and architects can present and discuss the state of the art in alternative scalable programming models while also wrestling with how to increase their effectiveness and adoption. Beyond well-established HPC scientific simulations, we also encourage submissions exploring artificial intelligence, big data analytics, machine learning, and other emerging application areas. Topics of interest include, but are not limited to: * Novel application development using high-level parallel programming languages and frameworks. * Examples that demonstrate performance, compiler optimization, error checking, and reduced software complexity. * Applications from artificial intelligence, data analytics, bioinformatics, and other novel areas. * Performance evaluation of applications developed using alternatives to MPI+X and comparisons to standard programming models. * Novel algorithms enabled by high-level parallel abstractions. * Experience with the use of new compilers and runtime environments. * Libraries using or supporting alternatives to MPI+X. * Benefits of hardware abstraction and data locality on algorithm implementation. Papers that include description of applications that demonstrate the use of alternative programming models will be given higher priority. Submissions Submissions are solicited in three categories: 1) Full-length papers presenting novel research results: Full-length papers will be published in the workshop proceedings. Submitted papers must describe original work that has not appeared in, nor is under consideration for, another conference or journal. Papers shall be eight (8) pages minimum and not exceed ten (10) including text, appendices, and figures. 2) Extended abstracts summarizing preliminary/published results: Extended abstracts will be evaluated separately and will not be included in the published proceedings; they are intended to propose timely communications of novel work that will be formally submitted elsewhere at a later stage, and/or of already published work that would be of interest to the PAW-ATM audience in terms of topic and timeliness. Extended abstracts shall not exceed four (4) pages. 3) Pictures or videos showcasing results from parallel applications: In addition to the manuscript submissions categories described above, authors have the option to submit pictures or videos of the results obtained with their parallel applications. This submission category should include pictures or video files and 250 words abstract, describing the application. These will be considered for PAW-ATM Best Visual Effects Award. When deciding between manuscript submissions with similar merit, submissions whose focus relates more directly to the key themes of the workshop (application studies, computing at scale, high-level alternatives to MPI+X) will be given priority over those that don't. Submissions shall be submitted through Linklings: https://submissions.supercomputing.org Submissions must use 10pt font in the IEEE format: https://www.ieee.org/conferences/publishing/templates.html PAW-ATM follows the reproducibility initiative of SC22. Submissions must include Artifact Description (AD) and Artifact Evaluation (AE) appendix. The appendix pages related to the reproducibility initiative dependencies, are not included in the page count. For more information, please refer to: https://sc22.supercomputing.org/submit/reproducibility-initiative/ http://sourceryinstitute.github.io/PAW/ WORKSHOP CHAIR * Karla Morris - Sandia National Laboratories ORGANIZING COMMITTEE * Irene Moulitsas - Cranfield University * Elliott Slaughter - SLAC National Accelerator Laboratory * Michael Ferguson - Hewlett Packard Enterprise PROGRAM COMMITTEE CO-CHAIRS * Bill Long - Hewlett Packard Enterprise * Daniele Lezzi - Barcelona Supercomputing Center PROGRAM COMMITTEE * David Bunde - Knox College * Barbara Chapman - Hewlett Packard Enterprise and Stony Brook University * Lucia Maria de Assumpcao Drummond - Universidade Federal Fluminense * Sally Ellingson - University of Kentucky * Michael Ferguson - Hewlett Packard Enterprise * Dounia Khaldi - Intel * Salvatore Filippone - Universita di Roma Tor Vergata * Eric Laurendeau - Polytechnique Montreal * Daniele Lezzi - Barcelona Supercomputing Center * Laercio Lima Pilla - National Center for Scientific Research and University of Bordeaux * Bill Long - Hewlett Packard Enterprise * Francesc Lordan - Barcelona Supercomputing Center * Esteban Meneses Rojas - National High Technology Center * Karla Morris - Sandia National Laboratories * Irene Moulitsas - Cranfield University * Swaroop S. Pophale - Oak Ridge National Laboratory * Mitsuhisa Sato - RIKEN Advanced Institute for Computational Science * Christine Sweeney - Los Alamos National Laboratory * Elliott Slaughter - SLAC National Accelerator Laboratory * Kenjiro Taura - University of Tokyo * Sean Treichler - NVIDIA * Richard W Vuduc - Georgia Institute of Technology ADVISORY COMMITTEE * Bradford L. Chamberlain - Hewlett Packard Enterprise * Damian W. I. Rouson - Sourcery Institute * Katherine A. Yelick - Lawrence Berkeley National Laboratory IMPORTANT DATES * Submissions deadline: July 29, 2022 * Manuscripts review period: August 8-25, 2022 (including Rebuttal) * Rebuttal submission: August 26, 2022 * Building consensus: August 29 - September 2, 2022 * Notification to authors: September 9, 2022 * Final program: September 30, 2022 * Camera-ready papers due from authors: October 1, 2022 * PAW-ATM Workshop at SC22: November 13-18, 2022

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CFP: International Workshop on Runtime and Operating Systems for Supercomputers (ROSS 2022)
by Iskra, Kamil A. 27 May '22

27 May '22

========================================================================== CALL FOR PAPERS ========================================================================== International Workshop on Runtime and Operating Systems for Supercomputers *** ROSS 2022 *** Held in conjunction with SC22: The International Conference for High Performance Computing, Networking, Storage and Analysis, Dallas, Texas, USA, November 13, 2022 ========================================================================== https://events.cels.anl.gov/ross/2022/ ========================================================================== The complexity of node architectures in supercomputers increases as we cross milestones on the way towards Exascale and beyond. Increasing levels of parallelism in multi- and many-core chips and emerging heterogeneity of computational resources coupled with energy and memory constraints force a reevaluation of our approaches towards operating systems and runtime environments. The ROSS workshop, to be held as a half-day event in conjunction with the SC22 conference, focuses on principles and techniques to design, implement, optimize, or operate runtime and operating systems for massively parallel supercomputers and cloud environments for high-performance computing. In addition to typical workshop publications, we encourage novel and possibly immature ideas, provided that they are interesting and on-topic. Well argued position papers are also welcome. TOPICS OF INTEREST: ------------------- - OS and runtime system scalability on many-node and multi/many-core systems - management of heterogeneous and reconfigurable compute resources, including FPGAs, GPUs, etc. - distributed/hybrid/partitioned OSes and runtime systems for Supercomputing - system noise analysis and prevention - runtime and operating systems for resource disaggregation - modeling and performance analysis of runtime systems - the use of machine learning and AI techniques in the autotuning of system software - OS and runtime considerations for large-volume, high-performance I/O - memory management and emerging memory technologies - OS and runtime aspects of HPC in the cloud, convergence of Supercomputing and cloud environments - infrastructure for cloud functions and serverless computing in the context of HPC - virtualization in HPC, including virtual machines and application containers - the role of OS and runtime system in minimizing power usage SCHEDULE AND SUBMISSION PROCEDURE: ---------------------------------- Submission deadline: August 8, 2022 Author notification: September 9, 2022 Pre-recorded videos: September 30, 2022 Final papers: October 10, 2022 Workshop date: November 13, 2022 The ROSS workshop proceedings will be published electronically via the IEEE Computer Society Digital Library. Submitted manuscripts should be formatted using the IEEE template conference mode. The maximum paper length is 8 pages, not including references and other appendices. All papers must be in English. Please visit the workshop website for further instructions and the submission link. WORKSHOP CHAIRS: ---------------- Balazs Gerofi RIKEN, Japan Torsten Hoefler ETH Zurich, Switzerland Kamil Iskra Argonne National Laboratory, USA PROGRAM COMMITTEE: ------------------ Patrick Bridges, University of New Mexico, USA Bronis R. de Supinski, Lawrence Livermore National Laboratory, USA Maya Gokhale, Lawrence Livermore National Laboratory, USA Kyle Hale, Illinois Institute of Technology, USA John Lange, Oak Ridge National Laboratory and University of Pittsburgh, USA Bernd Mohr, Juelich Supercomputing Centre, Germany Yoonho Park, IBM Research, USA Kevin Pedretti, Sandia National Laboratories, USA Miquel Pericas, Chalmers University of Technology, Sweden Rolf Riesen, Intel, USA Carsten Weinhold, Barkhausen Institute, Germany Contact us at sc-ws-ross(a)info.supercomputing.org if you have any questions.

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CFP: LDAV 2022 - abstracts June 13 / papers June 20
by Paul Navratil 27 May '22

27 May '22

LDAV 2022 – Large Data Analysis and Visualization The 12th IEEE Symposium on Large Data Analysis and Visualization, held in conjunction with IEEE VIS 2022, October 15, 2022, Oklahoma City, OK, USA http://www.ldav.org/<https://nam12.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.ldav.o…> Contact: papers(a)ldav.org<mailto:[email protected]> Johanna Beyer - Harvard University Steffen Frey - University of Groningen Paul Navratil - Texas Advanced Computing Center Data scales are increasing throughout scientific, business, and research contexts. Large-scale scientific simulations, observation technologies, sensor networks, and experiments are generating enormous datasets, with some projects approaching the multiple exabyte range in the near term. Gaining insight from massive data is critical for disciplines such as climate science, nuclear physics, security, materials design, transportation, urban planning, and so on. Business-critical decisions are made based on massive data in domains like social media, machine learning, software telemetry, and business intelligence. The tools and approaches needed to search, analyze, and visualize data at extreme scales can be fully realized only from end-to-end solutions, and with collective, interdisciplinary efforts. The 12th IEEE Large Scale Data Analysis and Visualization (LDAV) symposium, to be held in conjunction with IEEE VIS 2022, is specifically targeting methodological innovation, algorithmic foundations, and possible end-to-end solutions. The LDAV symposium will bring together domain experts, data analysts, visualization researchers, and users to foster common ground for solving both near- and long-term problems. Scope: We are looking for papers on a broad range of topics related to collection, analysis, manipulation, and visualization of large-scale data. We are particularly interested in innovative approaches that combine information visualization, visual analytics, and scientific visualization. LDAV welcomes papers on techniques and algorithms, systems, application and design studies, empirical studies, state of the practice, and position statements. See the LDAV website for more details about topics. Please contact the paper chairs (papers(a)ldav.org<mailto:[email protected]>) with specific questions. Representative topics include: • Distributed, parallel, and multi-threaded computation • Streaming methods • Innovative software solutions • Advanced hardware and GPU-based approaches • Hierarchical data storage, retrieval, processing, and rendering • Sampling, approximate query processing, and progressive computation • Collection, management, and curation of massive datasets • Scalable visualization and exploration methods • Ensemble data visualization and analysis • In-situ data analysis • Best practices for large data visualization • End-to-end system solutions in a large data context • Industry solutions for big data analysis and visualization • Collaboration or/and co-design of large data analysis with domain experts • Cognitive issues specific to manipulating and understanding large data • Application case studies • New challenges in visualizing experimental, observational, or simulation data As part of the review criteria, reviewers will be asked to assess whether the contribution is in scope for LDAV, i.e., whether it considers “large data.” Therefore, we strongly encourage you to clearly identify the “large data” aspect you address. For LDAV, we define large data to be data of size and complexity that require innovation to be processed and understood. With respect to size, the techniques for handling this data require either using atypical hardware or specialized techniques that run on typical hardware. Examples of atypical hardware include supercomputers or novel hardware (such as a just-released GPU, an understudied device like a FPGA, or a high-resolution display), with corresponding techniques including, for example, efficient parallelization. There are many examples of specialized techniques that enable typical hardware to operate effectively on large data; canonical examples including multi-resolution and streaming techniques. With respect to complexity, techniques in scope for LDAV should be illuminating data sets that are considerably larger than typical for a given task, for example, but not restricted to: rendering, layout, analysis, etc. Finally, data may be large relative to the resources available, and such examples are welcomed at LDAV. For example, novel techniques may be needed to visualize or analyze data on a Raspberry Pi or sensor network. Submission Instructions: LDAV is accepting both full papers and short papers. The manuscripts should be formatted according to guidelines from IEEE VGTC<https://nam12.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.cs.sfu…>. Submission of an abstract is required prior to submission of a paper or short paper. Submission site note: Go to the submission site<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnew.preci…> (https://new.precisionconference.com/vgtc<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnew.preci…>), log in, go to 'Submissions', and select Society ‘VGTC’, Conference ‘LDAV 2022’, and Track ‘LDAV 2022 Papers’. Full Papers Full papers should have a maximum length of 9 pages with up to two (2) additional pages allowed for only references (maximum total of 11 pages). Full papers may make contributions in techniques, systems, applications, evaluations, or theory. The contributions of full papers are reviewed based on their novelty, contribution, replicability, and evaluation. Short Papers Short papers should have a length of 4-5 pages in total. Short papers are a venue to report smaller contributions than full papers. Position papers and showcases of interesting application of visualization are good topics for short papers. Technique, system, application, evaluation, or theory papers that have a smaller contribution than a full paper can also be submitted as a short paper. Proceedings: The proceedings of the symposium will be published together with the VIS proceedings and via the IEEE Xplore Digital Library. Best Paper: The LDAV Program Committee will present a Best Paper award to the authors whose submission is deemed the strongest according to the reviewing criteria. This award will be announced in conjunction with VIS 2022. The Best Paper for LDAV will be published directly in IEEE Transactions on Visualization and Computer Graphics (TVCG). Further, other excellent papers will be encouraged to submit journal versions of their work to TVCG (at least 30% new scientific/technical content), with reviewer continuity. Important Dates: Please note: all deadlines are firm and no extensions will be granted. Abstract Deadline (firm): June 13, 2022, 11:59 PM (AOE) Paper Submission (firm): June 20, 2022, 11:59 PM (AOE) Author Notification: July 25, 2022 Camera-Ready Deadline: August 8, 2022

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CFP: PMBS22 -- The 13th International Workshop on Performance Modeling, Benchmarking and Simulation, IEEE/ACM Supercomputing 2022 (SC22), Dallas, TX
by Steven Wright 27 May '22

27 May '22

================================================================================ PMBS 2022 :: Call for Papers 13th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems held in conjunction with IEEE/ACM SC22, Dallas, TX, November 2022 http://www.pmbsworkshop.org ================================================================================ The PMBS22 workshop is concerned with the comparison of high-performance computer systems through performance modeling, benchmarking or through the use of tools such as simulators. We are particularly interested in research which reports the ability to measure and make trade-offs in software/hardware co-design to improve sustained application performance. We are also keen to capture the assessment of future systems, for example through work that ensures continued application scalability through peta- and exa-scale systems. The aim of this workshop is to bring together researchers, from industry and academia, concerned with the qualitative and quantitative evaluation and modeling of high-performance computing systems. Authors are invited to submit novel research in all areas of performance modeling, benchmarking and simulation, and we welcome research that brings together current theory and practice. We recognize that the coverage of the term performance has broadened to include power consumption and reliability, and that performance modeling is practiced through analytical methods and approaches based on software tools and simulators. We encourage submissions in the following areas: * Performance modeling, analysis, and prediction of applications and HPC systems * Novel techniques and tools for performance evaluation and prediction * Advanced simulation techniques and tools * Micro-benchmarking, application benchmarking and tracing * Performance-driven code optimization and scalability analysis * Verification and validation of performance models * Benchmarking and performance analysis of novel hardware * Performance concerns in software/hardware co-design * Tuning and auto-tuning of HPC applications and algorithms * Benchmark suites * Performance visualization * Real-world case studies * Studies of heterogeneous architectures and many-core accelerators Work which examines similar topics will also be considered. === Submission Guidelines === Authors are invited to submit full papers with unpublished, original work. Submissions are limited to 10 pages using 10pt fonts in the IEEE format. The 10-page limit includes figures, tables, and your appendices, but does not include references, for which there is no page limit. Reproducibility initiative dependencies (Artifact Description or Computational Results Analysis) are also not included in the 10-page limit. A separate Late-Breaking Research and Preliminary Techniques stream is also available for authors to submit 5-page papers describing initial research or early first-of-a-kind results (this page limit does not include references but includes all technical content and figures). === SC Transparency and Reproducibility Initiative === In line with the main Supercomputing conference, authors are asked to provide an artifact description and an artifact evaluation appendix along with their paper, describing the details of their software environments and computational experiments to the extent that an independent person could replicate their results. === Important Dates === August 10th 2022 (23:59 AoE) - Full Paper Submissions September 7th 2022 - Full Paper Notifications September 12th 2022 (23:59 AoE) - Late Breaking and Short Paper Submissions Spetember 26th 2022 - Late Breaking and Short Paper Notifications September 30th 2022 - Camera Ready Papers Due November 2022 - PMBS22 Workshop === More Information === For more information consult the PMBS Workshop homepage at: http://www.pmbsworkshop.org

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