-------- Forwarded Message -------- Subject: [computational.science] ScalA@SC20 - Papers due September 1 | SC20 Conference Going Virtual Date: Mon, 17 Aug 2020 21:37:33 +0000 From: Engelmann, Christian via computational.science computational.science@lists.iccsa.org Reply-To: Engelmann, Christian engelmannc@ornl.gov To: sdmas@googlegroups.com sdmas@googlegroups.com, TCSC@cse.stfx.ca TCSC@cse.stfx.ca, hpc-announce@mcs.anl.gov hpc-announce@mcs.anl.gov, Computational Science List computational.science@lists.iccsa.org, sc-workshop-attendee-cfp@group.supercomputing.org sc-workshop-attendee-cfp@group.supercomputing.org, siam-sc@siam.org siam-sc@siam.org

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ScalA20: 11th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems

held in conjunction with the SC20: The International Conference on High Performance Computing, Networking, Storage and Analysis

in cooperation with the IEEE Computer Society Technical Consortium on High Performance Computing (TCHPC)

November 12, 2020 --- Virtual Location

http://www.csm.ornl.gov/srt/conferences/Scala/2020

Novel scalable scientific algorithms are needed in order to enable key science applications to exploit the computational power of large-scale systems. This is especially true for the current tier of leading petascale machines and the road to exascale computing as HPC systems continue to scale up in compute node and processor core count. These extreme-scale systems require novel scientific algorithms to hide network and memory latency, have very high computation/communication overlap, have minimal communication, and have no synchronization points. With the advent of Big Data and AI in the past few years the need of such scalable mathematical methods and algorithms 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. Finally, with the advent of heterogeneous compute nodes that employ standard processors as well as GPGPUs, scientific algorithms need to match these architectures to extract the most performance. This includes different system-specific levels of parallelism as well as co-scheduling of computation. Key science applications require novel mathematical models and system software that address the scalability and resilience challenges of current- and future-generation extreme-scale 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 as part of the SC20 workshop proceedings in the IEEE Xplore Digital Library. At least one author of an accepted paper must register for and present the paper at the workshop. Authors may contact the workshop program chair, Christian Engelmann at engelmannc@ornl.gov, for more information.

Transparency and Reproducibility Initiative -------------------------------------------

As part of a major initiative that aims to increase the level of reproducibility and replicability of results, ScalA20 invites authors of technical papers to submit optional appendix information that can promote better reproducibility of computational results. Authors are highly encouraged to provide a 2-page Artifact Description Appendix, which will not count toward the page limit of the submission. Notes:

- A paper cannot be disqualified based on information provided or not provided in this appendix, nor if the appendix is not available.

- The availability and quality of an appendix can be used in ranking a paper. In particular, if two papers are of similar quality, the existence and quality of the appendices can be part of the evaluation process.

- Appendices should not be used to circumvent the page limit.

Further information about the SC Transparency and Reproducibility Initiative can be found at https://sc20.supercomputing.org/submit/transparency-reproducibility-initiative/.

Important Web Sites -------------------

- ScalA20 Website: https://www.csm.ornl.gov/srt/conferences/Scala/2020 - ScalA20 Submissions: https://submissions.supercomputing.org - SC20 website: http://sc20.supercomputing.org/

SC20 Going Virtual ------------------

The Planning Committee has announced that SC20 will be a fully virtual conference. More details can be found here: https://sc20.supercomputing.org/2020/07/27/sc20-virtual-event-announced-by-general-chair-christine-e-cuicchi.

Important Dates ---------------

- Full paper submission: September 1, 2020 - Notification of acceptance: October 1, 2020 - Final paper submission (firm): October 11, 2020 - Workshop/conference early registration: TBD - Workshop: November 12, 2020 (virtual location, 10AM-6:30PM EST, Track 8)

Topics of interest include, but are not limited to: ---------------------------------------------------

- Novel scientific algorithms that improve performance, scalability, resilience, and power efficiency - Porting scientific algorithms and applications to many-core and heterogeneous architectures - Performance and resilience limitations of scientific algorithms and applications at scale, including Data Science approaches in dealing with Big Data - Crosscutting approaches (system software and applications) in addressing scalability challenges - Scientific algorithms that can exploit extreme concurrency (e.g. 1 billion for exascale by 2023) - Naturally fault tolerant, self-healing, or fault oblivious scientific algorithms - Programming model and system software support for algorithm scalability and resilience (including ones enabling Big Data processing)

Workshop Chairs ---------------

- Vassil Alexandrov, Hartree Centre, Science and Technology Facilities Council, UK - Al Geist, Oak Ridge National Laboratory, USA - Jack Dongarra, University of Tennessee, Knoxville, USA

Workshop Program Chair ----------------------

- Christian Engelmann, Oak Ridge National Laboratory, USA Contact at engelmannc@ornl.gov

Program Committee -----------------

- Hartwig Anzt, University of Tennessee, Knoxville, USA - Rick Archibald, Oak Ridge National Laboratory, USA - Marco Berghoff, Karlsruhe Institute of Technology, Germany - Hans-Joachim Bungartz, Technical University of Munich, Germany - Florina M. Ciorba, University of Basel, Switzerland - 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 - Dieter Kranzlmueller, Ludwig-Maximilians-University Munich, Germany - Sriram Krishnamoorthy, Pacific Northwest National Laboratory, USA - Paul Lin, Lawrence Berkeley National Laboratory, USA - Kengo Nakajima, RIKEN, Japan - Yves Robert, ENS Lyon, France - Stuart Slattery, Oak Ridge National Laboratory, USA - Valerie Taylor, Argonne National Laboratory, USA

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Christian Engelmann, Ph.D.

Senior R&D Staff Scientist Computer Science Research Group Computer Science and Mathematics Division Oak Ridge National Laboratory

Mail: P.O. Box 2008, Oak Ridge, TN 37831-6173, USA Phone: +1 (865) 574-3132 / Fax: +1 (865) 576-5491 e-Mail: engelmannc@ornl.gov / Home: www.christian-engelmann.info