Call for Papers: ScalA@SC 2017 - Papers due August 28
We apologize if you receive multiple copies of this notice. ----------------------------------------------------------------------------- ScalA’17: 8th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems held in conjunction with the SC17: The International Conference on High Performance Computing, Networking, Storage and Analysis in cooperation with ACM SIGHPC November 13, 2017, Denver, CO, USA <http://www.csm.ornl.gov/srt/conferences/Scala/2017> 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. 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 not exceeding 8 letter size (8.5in x 11in) pages including figures, tables, and references using the ACM format for conference proceedings. Submissions not conforming to these guidelines may be returned without review. Reference style files are available at <http://www.acm.org/sigs/publications/proceedings-templates>. All manuscripts will be reviewed and judged on correctness, originality, technical strength, and significance, quality of presentation, and interest and relevance to the workshop attendees. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. At least one author of an accepted paper must register for and attend the workshop. Authors may contact the workshop program chair for more information. Papers should be submitted electronically at: <https://easychair.org/conferences/?conf=scala17>. Full papers will be published with the SC'17 workshop proceedings in the ACM Digital Library and IEEE Xplore. Selected papers will be invited for an extended version in a special issue of the Journal of Computational Science (JoCS). Important Dates - Full paper submission: August 28, 2017 - Notification of acceptance: September 11, 2017 - Final paper submission (firm): October 9, 2017 - Workshop/conference early registration: TBD - Workshop: November 13, 2017 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 - Crosscutting approaches (system software and applications) in addressing scalability challenges - Scientific algorithms that can exploit extreme concurrency (e.g. 1 billion for exascale by 2020) - Naturally fault tolerant, self-healing, or fault oblivious scientific algorithms - Programming model and system software support for algorithm scalability and resilience Workshop Chairs - Vassil Alexandrov, Barcelona Supercomputing Center, Spain - Al Geist, Oak Ridge National Laboratory, USA - Jack Dongarra, University of Tennessee, Knoxville, USA Workshop Program Chair - Christian Engelmann, Oak Ridge National Laboratory, USA Program Committee - Vassil Alexandrov, Barcelona Supercomputing Center, Spain - Hartwig Anzt, University of Tennessee, Knoxville, USA - Rick Archibald, Oak Ridge National Laboratory, USA - Franck Cappello, Argonne National Laboratory and University of Illinois at Urbana Champaign, USA - Zizhong Chen, University of California, Riverside, USA - James Elliott, Sandia National Laboratories, USA - Nahid Emad, University of Versailles SQ, France - Christian Engelmann, Oak Ridge National Laboratory, USA - Wilfried Gansterer, University of Vienna, Austria - Michael Heroux, Sandia National Laboratories, USA - Kirk E. Jordan, IBM T.J. Watson Research, USA - Dieter Kranzlmueller, Ludwig-Maximilians-University Munich, Germany - Ignacio Laguna, Lawrence Livermore National Laboratory, USA - Piotr Luszczek, University of Tennessee, Knoxville, USA - Michael Mascagni, Florida State University, USA - 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. 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
We apologize if you receive multiple copies of this notice. ----------------------------------------------------------------------------- ScalA’17: 8th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems held in conjunction with the SC17: The International Conference on High Performance Computing, Networking, Storage and Analysis in cooperation with ACM SIGHPC November 13, 2017, Denver, CO, USA <http://www.csm.ornl.gov/srt/conferences/Scala/2017 <http://www.csm.ornl.gov/srt/conferences/Scala/2017>> 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. 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 not exceeding 8 letter size (8.5in x 11in) pages including figures, tables, and references using the ACM format for conference proceedings. Submissions not conforming to these guidelines may be returned without review. Reference style files are available at <http://www.acm.org/sigs/publications/proceedings-templates <http://www.acm.org/sigs/publications/proceedings-templates>>. All manuscripts will be reviewed and judged on correctness, originality, technical strength, and significance, quality of presentation, and interest and relevance to the workshop attendees. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. At least one author of an accepted paper must register for and attend the workshop. Authors may contact the workshop program chair for more information. Papers should be submitted electronically at: <https://easychair.org/conferences/?conf=scala17 <https://easychair.org/conferences/?conf=scala17>>. Full papers will be published with the SC'17 workshop proceedings in the ACM Digital Library and IEEE Xplore. Selected papers will be invited for an extended version in a special issue of the Journal of Computational Science (JoCS). Important Dates - Full paper submission: August 28, 2017 - Notification of acceptance: September 11, 2017 - Final paper submission (firm): October 9, 2017 - Workshop/conference early registration: TBD - Workshop: November 13, 2017 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 - Crosscutting approaches (system software and applications) in addressing scalability challenges - Scientific algorithms that can exploit extreme concurrency (e.g. 1 billion for exascale by 2020) - Naturally fault tolerant, self-healing, or fault oblivious scientific algorithms - Programming model and system software support for algorithm scalability and resilience Workshop Chairs - Vassil Alexandrov, Barcelona Supercomputing Center, Spain - Al Geist, Oak Ridge National Laboratory, USA - Jack Dongarra, University of Tennessee, Knoxville, USA Workshop Program Chair - Christian Engelmann, Oak Ridge National Laboratory, USA Program Committee - Vassil Alexandrov, Barcelona Supercomputing Center, Spain - Hartwig Anzt, University of Tennessee, Knoxville, USA - Rick Archibald, Oak Ridge National Laboratory, USA - Franck Cappello, Argonne National Laboratory and University of Illinois at Urbana Champaign, USA - Zizhong Chen, University of California, Riverside, USA - James Elliott, Sandia National Laboratories, USA - Nahid Emad, University of Versailles SQ, France - Christian Engelmann, Oak Ridge National Laboratory, USA - Wilfried Gansterer, University of Vienna, Austria - Michael Heroux, Sandia National Laboratories, USA - Kirk E. Jordan, IBM T.J. Watson Research, USA - Dieter Kranzlmueller, Ludwig-Maximilians-University Munich, Germany - Ignacio Laguna, Lawrence Livermore National Laboratory, USA - Piotr Luszczek, University of Tennessee, Knoxville, USA - Michael Mascagni, Florida State University, USA - 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. 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 <mailto:engelmannc@ornl.gov> / Home: www.christian-engelmann.info <http://www.christian-engelmann.info/>
We apologize if you receive multiple copies of this notice. ----------------------------------------------------------------------------- ScalA’17: 8th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems held in conjunction with the SC17: The International Conference on High Performance Computing, Networking, Storage and Analysis in cooperation with ACM SIGHPC November 13, 2017, Denver, CO, USA <http://www.csm.ornl.gov/srt/conferences/Scala/2017 <http://www.csm.ornl.gov/srt/conferences/Scala/2017>> 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. 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 not exceeding 8 letter size (8.5in x 11in) pages including figures, tables, and references using the ACM format for conference proceedings. Submissions not conforming to these guidelines may be returned without review. Reference style files are available at <http://www.acm.org/sigs/publications/proceedings-templates <http://www.acm.org/sigs/publications/proceedings-templates>> All manuscripts will be reviewed and judged on correctness, originality, technical strength, and significance, quality of presentation, and interest and relevance to the workshop attendees. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. At least one author of an accepted paper must register for and attend the workshop. Authors may contact the workshop program chair for more information. Papers should be submitted electronically at: <https://easychair.org/conferences/?conf=scala17 <https://easychair.org/conferences/?conf=scala17>>. Full papers will be published with the SC'17 workshop proceedings in the ACM Digital Library and IEEE Xplore. Selected papers will be invited for an extended version in a special issue of the Journal of Computational Science (JoCS). Important Dates - Full paper submission: August 28, 2017 - Notification of acceptance: September 11, 2017 - Final paper submission (firm): October 9, 2017 - Workshop/conference early registration: TBD - Workshop: November 13, 2017 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 - Crosscutting approaches (system software and applications) in addressing scalability challenges - Scientific algorithms that can exploit extreme concurrency (e.g. 1 billion for exascale by 2020) - Naturally fault tolerant, self-healing, or fault oblivious scientific algorithms - Programming model and system software support for algorithm scalability and resilience Workshop Chairs - Vassil Alexandrov, Barcelona Supercomputing Center, Spain - Al Geist, Oak Ridge National Laboratory, USA - Jack Dongarra, University of Tennessee, Knoxville, USA Workshop Program Chair - Christian Engelmann, Oak Ridge National Laboratory, USA Program Committee - Vassil Alexandrov, Barcelona Supercomputing Center, Spain - Hartwig Anzt, University of Tennessee, Knoxville, USA - Rick Archibald, Oak Ridge National Laboratory, USA - Franck Cappello, Argonne National Laboratory and University of Illinois at Urbana Champaign, USA - Zizhong Chen, University of California, Riverside, USA - James Elliott, Sandia National Laboratories, USA - Nahid Emad, University of Versailles SQ, France - Christian Engelmann, Oak Ridge National Laboratory, USA - Wilfried Gansterer, University of Vienna, Austria - Michael Heroux, Sandia National Laboratories, USA - Kirk E. Jordan, IBM T.J. Watson Research, USA - Dieter Kranzlmueller, Ludwig-Maximilians-University Munich, Germany - Ignacio Laguna, Lawrence Livermore National Laboratory, USA - Piotr Luszczek, University of Tennessee, Knoxville, USA - Michael Mascagni, Florida State University, USA - 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. 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 <mailto:engelmannc@ornl.gov> <mailto:engelmannc@ornl.gov <mailto:engelmannc@ornl.gov>> / Home: www.christian-engelmann.info <http://www.christian-engelmann.info/> <http://www.christian-engelmann.info/ <http://www.christian-engelmann.info/>>
We apologize if you receive multiple copies of this notice. ----------------------------------------------------------------------------- ScalA’17: 8th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems held in conjunction with the SC17: The International Conference on High Performance Computing, Networking, Storage and Analysis in cooperation with ACM SIGHPC November 13, 2017, Denver, CO, USA <http://www.csm.ornl.gov/srt/conferences/Scala/2017 <http://www.csm.ornl.gov/srt/conferences/Scala/2017>> 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. 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 not exceeding 8 letter size (8.5in x 11in) pages including figures, tables, and references using the ACM format for conference proceedings. Submissions not conforming to these guidelines may be returned without review. Reference style files are available at <http://www.acm.org/sigs/publications/proceedings-templates <http://www.acm.org/sigs/publications/proceedings-templates>> All manuscripts will be reviewed and judged on correctness, originality, technical strength, and significance, quality of presentation, and interest and relevance to the workshop attendees. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. At least one author of an accepted paper must register for and attend the workshop. Authors may contact the workshop program chair for more information. Papers should be submitted electronically at: <https://easychair.org/conferences/?conf=scala17 <https://easychair.org/conferences/?conf=scala17>>. Full papers will be published with the SC'17 workshop proceedings in the ACM Digital Library and IEEE Xplore. Selected papers will be invited for an extended version in a special issue of the Journal of Computational Science (JoCS). Important Dates - Full paper submission: August 28, 2017 - Notification of acceptance: September 11, 2017 - Final paper submission (firm): October 9, 2017 - Workshop/conference early registration: TBD - Workshop: November 13, 2017 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 - Crosscutting approaches (system software and applications) in addressing scalability challenges - Scientific algorithms that can exploit extreme concurrency (e.g. 1 billion for exascale by 2020) - Naturally fault tolerant, self-healing, or fault oblivious scientific algorithms - Programming model and system software support for algorithm scalability and resilience Workshop Chairs - Vassil Alexandrov, Barcelona Supercomputing Center, Spain - Al Geist, Oak Ridge National Laboratory, USA - Jack Dongarra, University of Tennessee, Knoxville, USA Workshop Program Chair - Christian Engelmann, Oak Ridge National Laboratory, USA Program Committee - Vassil Alexandrov, Barcelona Supercomputing Center, Spain - Hartwig Anzt, University of Tennessee, Knoxville, USA - Rick Archibald, Oak Ridge National Laboratory, USA - Franck Cappello, Argonne National Laboratory and University of Illinois at Urbana Champaign, USA - Zizhong Chen, University of California, Riverside, USA - James Elliott, Sandia National Laboratories, USA - Nahid Emad, University of Versailles SQ, France - Christian Engelmann, Oak Ridge National Laboratory, USA - Wilfried Gansterer, University of Vienna, Austria - Michael Heroux, Sandia National Laboratories, USA - Kirk E. Jordan, IBM T.J. Watson Research, USA - Dieter Kranzlmueller, Ludwig-Maximilians-University Munich, Germany - Ignacio Laguna, Lawrence Livermore National Laboratory, USA - Piotr Luszczek, University of Tennessee, Knoxville, USA - Michael Mascagni, Florida State University, USA - 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. 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 <mailto:engelmannc@ornl.gov> / Home: www.christian-engelmann.info <http://www.christian-engelmann.info/>
We apologize if you receive multiple copies of this notice. The submission deadline has been extended to September 10. ----------------------------------------------------------------------------- ScalA’17: 8th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems held in conjunction with the SC17: The International Conference on High Performance Computing, Networking, Storage and Analysis in cooperation with ACM SIGHPC November 13, 2017, Denver, CO, USA <http://www.csm.ornl.gov/srt/conferences/Scala/2017 <http://www.csm.ornl.gov/srt/conferences/Scala/2017>> 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. 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 not exceeding 8 letter size (8.5in x 11in) pages including figures, tables, and references using the ACM format for conference proceedings. Submissions not conforming to these guidelines may be returned without review. Reference style files are available at <http://www.acm.org/sigs/publications/proceedings-templates <http://www.acm.org/sigs/publications/proceedings-templates>> All manuscripts will be reviewed and judged on correctness, originality, technical strength, and significance, quality of presentation, and interest and relevance to the workshop attendees. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. At least one author of an accepted paper must register for and attend the workshop. Authors may contact the workshop program chair for more information. Papers should be submitted electronically at: <https://easychair.org/conferences/?conf=scala17 <https://easychair.org/conferences/?conf=scala17>>. Full papers will be published with the SC'17 workshop proceedings in the ACM Digital Library and IEEE Xplore. Selected papers will be invited for an extended version in a special issue of the Journal of Computational Science (JoCS). Important Dates - Full paper submission: September 10, 2017 (firm) - Notification of acceptance: September 25, 2017 - Final paper submission (firm): October 11, 2017 - Workshop/conference early registration: TBD - Workshop: November 13, 2017 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 - Crosscutting approaches (system software and applications) in addressing scalability challenges - Scientific algorithms that can exploit extreme concurrency (e.g. 1 billion for exascale by 2020) - Naturally fault tolerant, self-healing, or fault oblivious scientific algorithms - Programming model and system software support for algorithm scalability and resilience Workshop Chairs - Vassil Alexandrov, Barcelona Supercomputing Center, Spain - Al Geist, Oak Ridge National Laboratory, USA - Jack Dongarra, University of Tennessee, Knoxville, USA Workshop Program Chair - Christian Engelmann, Oak Ridge National Laboratory, USA Program Committee - Vassil Alexandrov, Barcelona Supercomputing Center, Spain - Hartwig Anzt, University of Tennessee, Knoxville, USA - Rick Archibald, Oak Ridge National Laboratory, USA - Franck Cappello, Argonne National Laboratory and University of Illinois at Urbana Champaign, USA - Zizhong Chen, University of California, Riverside, USA - James Elliott, Sandia National Laboratories, USA - Nahid Emad, University of Versailles SQ, France - Christian Engelmann, Oak Ridge National Laboratory, USA - Wilfried Gansterer, University of Vienna, Austria - Michael Heroux, Sandia National Laboratories, USA - Kirk E. Jordan, IBM T.J. Watson Research, USA - Dieter Kranzlmueller, Ludwig-Maximilians-University Munich, Germany - Ignacio Laguna, Lawrence Livermore National Laboratory, USA - Piotr Luszczek, University of Tennessee, Knoxville, USA - Michael Mascagni, Florida State University, USA - 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. 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 <mailto:engelmannc@ornl.gov> / Home: www.christian-engelmann.info <http://www.christian-engelmann.info/>
We apologize if you receive multiple copies of this notice. The submission deadline is September 10 (firm). ----------------------------------------------------------------------------- ScalA’17: 8th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems held in conjunction with the SC17: The International Conference on High Performance Computing, Networking, Storage and Analysis in cooperation with ACM SIGHPC November 13, 2017, Denver, CO, USA <http://www.csm.ornl.gov/srt/conferences/Scala/2017 <http://www.csm.ornl.gov/srt/conferences/Scala/2017>> 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. 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 not exceeding 8 letter size (8.5in x 11in) pages including figures, tables, and references using the ACM format for conference proceedings. Submissions not conforming to these guidelines may be returned without review. Reference style files are available at <http://www.acm.org/sigs/publications/proceedings-templates <http://www.acm.org/sigs/publications/proceedings-templates>> All manuscripts will be reviewed and judged on correctness, originality, technical strength, and significance, quality of presentation, and interest and relevance to the workshop attendees. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. At least one author of an accepted paper must register for and attend the workshop. Authors may contact the workshop program chair for more information. Papers should be submitted electronically at: <https://easychair.org/conferences/?conf=scala17 <https://easychair.org/conferences/?conf=scala17>>. Full papers will be published with the SC'17 workshop proceedings in the ACM Digital Library and IEEE Xplore. Selected papers will be invited for an extended version in a special issue of the Journal of Computational Science (JoCS). Important Dates - Full paper submission: September 10, 2017 (firm) - Notification of acceptance: September 25, 2017 - Final paper submission (firm): October 11, 2017 - Workshop/conference early registration: TBD - Workshop: November 13, 2017 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 - Crosscutting approaches (system software and applications) in addressing scalability challenges - Scientific algorithms that can exploit extreme concurrency (e.g. 1 billion for exascale by 2020) - Naturally fault tolerant, self-healing, or fault oblivious scientific algorithms - Programming model and system software support for algorithm scalability and resilience Workshop Chairs - Vassil Alexandrov, Barcelona Supercomputing Center, Spain - Al Geist, Oak Ridge National Laboratory, USA - Jack Dongarra, University of Tennessee, Knoxville, USA Workshop Program Chair - Christian Engelmann, Oak Ridge National Laboratory, USA Program Committee - Vassil Alexandrov, Barcelona Supercomputing Center, Spain - Hartwig Anzt, University of Tennessee, Knoxville, USA - Rick Archibald, Oak Ridge National Laboratory, USA - Franck Cappello, Argonne National Laboratory and University of Illinois at Urbana Champaign, USA - Zizhong Chen, University of California, Riverside, USA - James Elliott, Sandia National Laboratories, USA - Nahid Emad, University of Versailles SQ, France - Christian Engelmann, Oak Ridge National Laboratory, USA - Wilfried Gansterer, University of Vienna, Austria - Michael Heroux, Sandia National Laboratories, USA - Kirk E. Jordan, IBM T.J. Watson Research, USA - Dieter Kranzlmueller, Ludwig-Maximilians-University Munich, Germany - Ignacio Laguna, Lawrence Livermore National Laboratory, USA - Piotr Luszczek, University of Tennessee, Knoxville, USA - Michael Mascagni, Florida State University, USA - 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. 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 <mailto:engelmannc@ornl.gov> / Home: www.christian-engelmann.info <http://www.christian-engelmann.info/>
We apologize if you receive multiple copies of this call for papers. -------------------------------------------------------------------------------- 11th Workshop on Resiliency in High Performance Computing (Resilience) in Clusters, Clouds, and Grids <https://www.csm.ornl.gov/srt/conferences/Resilience/2018 <https://www.csm.ornl.gov/srt/conferences/Resilience/2018>> in conjunction with the 24th International European Conference on Parallel and Distributed Computing (Euro-Par), Turin, Italy August 27 - 31, 2018 <https://europar2018.org <https://europar2018.org/>> Overview: Resilience is a critical challenge as high performance computing (HPC) systems continue to increase component counts, individual component reliability decreases (such as due to shrinking process technology and near-threshold voltage (NTV) operation), and software complexity increases. Application correctness and execution efficiency, in spite of frequent faults, errors, and failures, is essential to ensure the success of the extreme-scale HPC systems, cluster computing environments, Grid computing infrastructures, and Cloud computing services. While a fault (e.g., a bug or stuck bit) is the cause of an error, its manifestation as a state change is considered an error (e.g., a bad value or incorrect execution), and the transition to an incorrect service is observed as a failure (e.g., an application abort or system crash). A failure in a computing system is typically observed through an application abort or a full/partial service or system outage. A detectable correctable error is often transparently handled by hardware, such as a single bit flip in memory that is protected with single-error correction double-error detection (SECDED) error correcting code (ECC). A detectable uncorrectable error (DUE) typically results in a failure, such as multiple bit flips in the same addressable word that escape SECDED ECC correction, but not detection, and ultimately cause an application abort. An undetectable error (UE) may result in silent data corruption (SDC), e.g., an incorrect application output. There are many other types of hardware and software faults, errors, and failures in computing systems. Resilience for HPC systems encompasses a wide spectrum of fundamental and applied research and development, including theoretical foundations, fault detection and prediction, monitoring and control, end-to-end data integrity, enabling infrastructure, and resilient solvers and algorithm-based fault tolerance. This workshop brings together experts in the community to further research and development in HPC resilience and to facilitate exchanges across the computational paradigms of extreme-scale HPC, cluster computing, Grid computing, and Cloud computing. Submission Guidelines: Authors are invited to submit papers electronically in English in PDF format. Submitted manuscripts should be structured as technical papers and BETWEEN 10 AND 12 PAGES, including figures, tables and references, using Springer's Lecture Notes in Computer Science (LNCS) format at <http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 <http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0>>. Papers with less than 10 or more than 12 pages will not be accepted due to publisher guidelines. Submissions should include abstract, key words and the e-mail address of the corresponding author. Papers not conforming to these guidelines may be returned without review. All manuscripts will be reviewed and will be judged on correctness, originality, technical strength, significance, quality of presentation, and interest and relevance to the conference attendees. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date or not appropriately structured may also not be considered. The proceedings will be published in Springer's LNCS as post-conference proceedings. At least one author of an accepted paper must register for and attend the workshop for inclusion in the proceedings. Authors may contact the workshop program chairs for more information. Important websites: - Resilience 2018 Website: <https://www.csm.ornl.gov/srt/conferences/Resilience/2018 <https://www.csm.ornl.gov/srt/conferences/Resilience/2018>> - Resilience 2018 Submissions: <https://easychair.org/conferences/?conf=europar2018ws <https://easychair.org/conferences/?conf=europar2018ws>> - Euro-Par 2018 website: <https://europar2018.org <https://europar2018.org/>> Topics of interest include, but are not limited to: - Theoretical foundations for resilience: - Metrics and measurement - Statistics and optimization - Simulation and emulation - Formal methods - Efficiency modeling and uncertainty quantification - Fault detection and prediction: - Statistical analyses - Machine learning - Anomaly detection - Data and information collection - Visualization - Monitoring and control for resilience: - Platform and application monitoring - Response and recovery - RAS theory and performability - Application and platform knobs - Tunable fidelity and quality of service - End-to-end data integrity: - Fault tolerant design - Degraded modes - Forward migration and verification - Fault injection - Soft errors - Silent data corruption - Enabling infrastructure for resilience: - RAS systems - System software and middleware - Programming models - Tools - Next-generation architectures - Resilient solvers and algorithm-based fault tolerance: - Algorithmic detection and correction of hard and soft faults - Resilient algorithms - Fault tolerant numerical methods - Robust iterative algorithms - Scalability of resilient solvers and algorithm-based fault tolerance Important Dates: - Workshop papers due: May 4, 2018 - Workshop author notification: June 15, 2018 - Workshop early registration: TBD - Workshop paper (for informal workshop proceedings): July 6, 2018 - Workshop date: August 27-28, 2018 - Workshop camera-ready papers: October 2, 2018 General Co-Chairs: - Stephen L. Scott Senior Research Scientist - Systems Research Team Tennessee Tech University and Oak Ridge National Laboratory, USA scottsl@ornl.gov <mailto:scottsl@ornl.gov> - Chokchai (Box) Leangsuksun, SWEPCO Endowed Associate Professor of Computer Science Louisiana Tech University, USA box@latech.edu <mailto:box@latech.edu> Program Co-Chairs: - Patrick G. Bridges University of New Mexico, USA bridges@cs.unm.edu <mailto:bridges@cs.unm.edu> - Christian Engelmann Oak Ridge National Laboratory , USA engelmannc@ornl.gov <mailto:engelmannc@ornl.gov> Program Committee: - Ferrol Aderholdt, Oak Ridge National Laboratory, USA - Rizwan Ashraf, Oak Ridge National Laboratory, USA - Wesley Bland, Intel Corporation, USA - Hans-Joachim Bungartz, Technical University of Munich, Germany - Marc Casas, Barcelona Supercomputer Center, Spain - Zizhong Chen, University of California at Riverside, USA - Robert Clay, Sandia National Laboratories, USA - Miguel Correia, Universidade de Lisboa, Portugal - Nathan DeBardeleben, Los Alamos National Laboratory, USA - James Elliott, Sandia National Laboratories, USA - Kurt Ferreira, Sandia National Laboratories, USA - Saurabh Hukerikar, NVIDIA, USA - Dieter Kranzlmueller, Ludwig-Maximilians University of Munich, Germany - Ignacio Laguna, Lawrence Livermore National Laboratory, USA - Scott Levy, University of New Mexico, USA - Alexander Reinefeld, Zuse Institute Berlin, Germany - Rolf Riesen, Intel Corporation, USA - Yves Robert, ENS Lyon, France - Thomas Ropars, Universite Grenoble Alpes, France - Martin Schulz, Technical University of Munich, Germany -- Christian Engelmann, Ph.D. 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 <mailto:engelmannc@ornl.gov> / Home: www.christian-engelmann.info <http://www.christian-engelmann.info/>
We apologize if you receive multiple copies of this notice. The deadline for submissions is September 2, 2018. ----------------------------------------------------------------------------- ScalA18: 9th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems held in conjunction with the SC18: 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, 2018, Dallas, TX, USA <http://www.csm.ornl.gov/srt/conferences/Scala/2018> 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. 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 8 letter size (8.5in x 11in) pages and not exceeding 8 pages, including figures, tables, and references using the IEEE format for conference proceedings. Submissions not conforming to these guidelines may be returned without review. Reference style files are available at <http://www.ieee.org/conferences_events/conferences/publishing/templates.html>. All manuscripts will be reviewed and judged on correctness, originality, technical strength, and significance, quality of presentation, and interest and relevance to the workshop attendees. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. 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 for more information. Papers should be submitted electronically at <https://submissions.supercomputing.org>. Full papers will be published with the SC18 workshop proceedings in the IEEE Xplore Digital Library. Reproducibility Initiative As part of a major initiative that aims to increase the level of reproducibility and replicability of results, ScalA'18 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. Important Web Sites - ScalA18 Website: <https://www.csm.ornl.gov/srt/conferences/Scala/2018> - ScalA18 Submissions: <https://submissions.supercomputing.org> - SC18 website: <http://sc18.supercomputing.org/> Important Dates - Full paper submission: September 2, 2018 - Notification of acceptance: September 24, 2018 - Final paper submission (firm): October 7, 2018 - Workshop/conference early registration: TBD - Workshop: November 12, 2018 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 - Crosscutting approaches (system software and applications) in addressing scalability challenges - Scientific algorithms that can exploit extreme concurrency (e.g. 1 billion for exascale by 2020) - Naturally fault tolerant, self-healing, or fault oblivious scientific algorithms - Programming model and system software support for algorithm scalability and resilience Workshop Chairs - Vassil Alexandrov, Barcelona Supercomputing Center, Spain - Al Geist, Oak Ridge National Laboratory, USA - Jack Dongarra, University of Tennessee, Knoxville, USA Workshop Program Chair - Christian Engelmann, Oak Ridge National Laboratory, USA Program Committee - Hartwig Anzt, University of Tennessee, Knoxville, USA - Rick Archibald, Oak Ridge National Laboratory, USA - Hans-Joachim Bungartz, Technical University of Munich, Germany - Franck Cappello, Argonne National Laboratory and University of Illinois at Urbana Champaign, USA - James Elliott, Sandia National Laboratories, USA - Nahid Emad, University of Versailles SQ, France - Wilfried Gansterer, University of Vienna, Austria - Kirk E. Jordan, IBM T.J. Watson Research, USA - Dieter Kranzlmueller, Ludwig-Maximilians-University Munich, Germany - Sriram Krishnamoorthy, Pacific Northwest National Laboratory, USA - Ignacio Laguna, Lawrence Livermore National Laboratory, USA - Piotr Luszczek, University of Tennessee, Knoxville, USA - Michael Mascagni, Florida State University, USA - 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 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
We apologize if you receive multiple copies of this notice. The deadline for submissions is September 2, 2018. ----------------------------------------------------------------------------- ScalA18: 9th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems held in conjunction with the SC18: 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, 2018, Dallas, TX, USA <http://www.csm.ornl.gov/srt/conferences/Scala/2018> 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. 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 8 letter size (8.5in x 11in) pages and not exceeding 8 pages, including figures, tables, and references using the IEEE format for conference proceedings. Submissions not conforming to these guidelines may be returned without review. Reference style files are available at <http://www.ieee.org/conferences_events/conferences/publishing/templates.html>. All manuscripts will be reviewed and judged on correctness, originality, technical strength, and significance, quality of presentation, and interest and relevance to the workshop attendees. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. 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 for more information. Papers should be submitted electronically at <https://submissions.supercomputing.org>. Full papers will be published with the SC18 workshop proceedings in the IEEE Xplore Digital Library. Reproducibility Initiative As part of a major initiative that aims to increase the level of reproducibility and replicability of results, ScalA'18 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. Important Web Sites - ScalA18 Website: <https://www.csm.ornl.gov/srt/conferences/Scala/2018> - ScalA18 Submissions: <https://submissions.supercomputing.org> - SC18 website: <http://sc18.supercomputing.org/> Important Dates - Full paper submission: September 2, 2018 - Notification of acceptance: September 24, 2018 - Final paper submission (firm): October 7, 2018 - Workshop/conference early registration: TBD - Workshop: November 12, 2018 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 - Crosscutting approaches (system software and applications) in addressing scalability challenges - Scientific algorithms that can exploit extreme concurrency (e.g. 1 billion for exascale by 2020) - Naturally fault tolerant, self-healing, or fault oblivious scientific algorithms - Programming model and system software support for algorithm scalability and resilience Workshop Chairs - Vassil Alexandrov, Barcelona Supercomputing Center, Spain - Al Geist, Oak Ridge National Laboratory, USA - Jack Dongarra, University of Tennessee, Knoxville, USA Workshop Program Chair - Christian Engelmann, Oak Ridge National Laboratory, USA Program Committee - Hartwig Anzt, University of Tennessee, Knoxville, USA - Rick Archibald, Oak Ridge National Laboratory, USA - Hans-Joachim Bungartz, Technical University of Munich, Germany - Franck Cappello, Argonne National Laboratory and University of Illinois at Urbana Champaign, USA - James Elliott, Sandia National Laboratories, USA - Nahid Emad, University of Versailles SQ, France - Wilfried Gansterer, University of Vienna, Austria - Kirk E. Jordan, IBM T.J. Watson Research, USA - Aneta Karaivanova, IICT, Bulgarian Academy of Sciences, Bulgaria - Dieter Kranzlmueller, Ludwig-Maximilians-University Munich, Germany - Sriram Krishnamoorthy, Pacific Northwest National Laboratory, USA - Ignacio Laguna, Lawrence Livermore National Laboratory, USA - Ying Liu, University of Chinese Academy of Sciences, China - Piotr Luszczek, University of Tennessee, Knoxville, USA - Michael Mascagni, Florida State University, USA - 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 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
We apologize if you receive multiple copies of this notice. The deadline for submissions is September 2, 2018. ----------------------------------------------------------------------------- ScalA18: 9th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems held in conjunction with the SC18: 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, 2018, Dallas, TX, USA <http://www.csm.ornl.gov/srt/conferences/Scala/2018 <http://www.csm.ornl.gov/srt/conferences/Scala/2018>> 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. 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 8 letter size (8.5in x 11in) pages and not exceeding 8 pages, including figures, tables, and references using the IEEE format for conference proceedings. Submissions not conforming to these guidelines may be returned without review. Reference style files are available at <http://www.ieee.org/conferences_events/conferences/publishing/templates.html <http://www.ieee.org/conferences_events/conferences/publishing/templates.html>>. All manuscripts will be reviewed and judged on correctness, originality, technical strength, and significance, quality of presentation, and interest and relevance to the workshop attendees. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. 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 for more information. Papers should be submitted electronically at <https://submissions.supercomputing.org <https://submissions.supercomputing.org/>>. Full papers will be published with the SC18 workshop proceedings in the IEEE Xplore Digital Library. Reproducibility Initiative As part of a major initiative that aims to increase the level of reproducibility and replicability of results, ScalA'18 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. Important Web Sites - ScalA18 Website: <https://www.csm.ornl.gov/srt/conferences/Scala/2018 <https://www.csm.ornl.gov/srt/conferences/Scala/2018>> - ScalA18 Submissions: <https://submissions.supercomputing.org <https://submissions.supercomputing.org/>> - SC18 website: <http://sc18.supercomputing.org/ <http://sc18.supercomputing.org/>> Important Dates - Full paper submission: September 2, 2018 - Notification of acceptance: September 24, 2018 - Final paper submission (firm): October 7, 2018 - Workshop/conference early registration: TBD - Workshop: November 12, 2018 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 - Crosscutting approaches (system software and applications) in addressing scalability challenges - Scientific algorithms that can exploit extreme concurrency (e.g. 1 billion for exascale by 2020) - Naturally fault tolerant, self-healing, or fault oblivious scientific algorithms - Programming model and system software support for algorithm scalability and resilience Workshop Chairs - Vassil Alexandrov, Barcelona Supercomputing Center, Spain - Al Geist, Oak Ridge National Laboratory, USA - Jack Dongarra, University of Tennessee, Knoxville, USA Workshop Program Chair - Christian Engelmann, Oak Ridge National Laboratory, USA Program Committee - Hartwig Anzt, University of Tennessee, Knoxville, USA - Rick Archibald, Oak Ridge National Laboratory, USA - Hans-Joachim Bungartz, Technical University of Munich, Germany - Franck Cappello, Argonne National Laboratory and University of Illinois at Urbana Champaign, USA - James Elliott, Sandia National Laboratories, USA - Nahid Emad, University of Versailles SQ, France - Wilfried Gansterer, University of Vienna, Austria - Kirk E. Jordan, IBM T.J. Watson Research, USA - Aneta Karaivanova, IICT, Bulgarian Academy of Sciences, Bulgaria - Dieter Kranzlmueller, Ludwig-Maximilians-University Munich, Germany - Sriram Krishnamoorthy, Pacific Northwest National Laboratory, USA - Ignacio Laguna, Lawrence Livermore National Laboratory, USA - Ying Liu, University of Chinese Academy of Sciences, China - Piotr Luszczek, University of Tennessee, Knoxville, USA - Michael Mascagni, Florida State University, USA - 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 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 <mailto:engelmannc@ornl.gov> / Home: www.christian-engelmann.info <http://www.christian-engelmann.info/>
We apologize if you receive multiple copies of this notice. The deadline for submissions is September 2, 2018. ----------------------------------------------------------------------------- ScalA18: 9th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems held in conjunction with the SC18: 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, 2018, Dallas, TX, USA <http://www.csm.ornl.gov/srt/conferences/Scala/2018 <http://www.csm.ornl.gov/srt/conferences/Scala/2018>> 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. 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 8 letter size (8.5in x 11in) pages and not exceeding 8 pages, including figures, tables, and references using the IEEE format for conference proceedings. Submissions not conforming to these guidelines may be returned without review. Reference style files are available at <http://www.ieee.org/conferences_events/conferences/publishing/templates.html <http://www.ieee.org/conferences_events/conferences/publishing/templates.html>>. All manuscripts will be reviewed and judged on correctness, originality, technical strength, and significance, quality of presentation, and interest and relevance to the workshop attendees. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. 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 for more information. Papers should be submitted electronically at <https://submissions.supercomputing.org <https://submissions.supercomputing.org/>>. Full papers will be published with the SC18 workshop proceedings in the IEEE Xplore Digital Library. Reproducibility Initiative As part of a major initiative that aims to increase the level of reproducibility and replicability of results, ScalA'18 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. Important Web Sites - ScalA18 Website: <https://www.csm.ornl.gov/srt/conferences/Scala/2018 <https://www.csm.ornl.gov/srt/conferences/Scala/2018>> - ScalA18 Submissions: <https://submissions.supercomputing.org <https://submissions.supercomputing.org/>> - SC18 website: <http://sc18.supercomputing.org/ <http://sc18.supercomputing.org/>> Important Dates - Full paper submission: September 2, 2018 - Notification of acceptance: September 24, 2018 - Final paper submission (firm): October 7, 2018 - Workshop/conference early registration: TBD - Workshop: November 12, 2018 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 - Crosscutting approaches (system software and applications) in addressing scalability challenges - Scientific algorithms that can exploit extreme concurrency (e.g. 1 billion for exascale by 2020) - Naturally fault tolerant, self-healing, or fault oblivious scientific algorithms - Programming model and system software support for algorithm scalability and resilience Workshop Chairs - Vassil Alexandrov, Barcelona Supercomputing Center, Spain - Al Geist, Oak Ridge National Laboratory, USA - Jack Dongarra, University of Tennessee, Knoxville, USA Workshop Program Chair - Christian Engelmann, Oak Ridge National Laboratory, USA Program Committee - Hartwig Anzt, University of Tennessee, Knoxville, USA - Rick Archibald, Oak Ridge National Laboratory, USA - Hans-Joachim Bungartz, Technical University of Munich, Germany - Franck Cappello, Argonne National Laboratory and University of Illinois at Urbana Champaign, USA - James Elliott, Sandia National Laboratories, USA - Nahid Emad, University of Versailles SQ, France - Wilfried Gansterer, University of Vienna, Austria - Kirk E. Jordan, IBM T.J. Watson Research, USA - Aneta Karaivanova, IICT, Bulgarian Academy of Sciences, Bulgaria - Dieter Kranzlmueller, Ludwig-Maximilians-University Munich, Germany - Sriram Krishnamoorthy, Pacific Northwest National Laboratory, USA - Ignacio Laguna, Lawrence Livermore National Laboratory, USA - Ying Liu, University of Chinese Academy of Sciences, China - Piotr Luszczek, University of Tennessee, Knoxville, USA - Michael Mascagni, Florida State University, USA - 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 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 <mailto:engelmannc@ornl.gov> / Home: www.christian-engelmann.info <http://www.christian-engelmann.info/>
We apologize if you receive multiple copies of this notice. The deadline for submissions is September 2, 2018. ----------------------------------------------------------------------------- ScalA18: 9th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems held in conjunction with the SC18: 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, 2018, Dallas, TX, USA <http://www.csm.ornl.gov/srt/conferences/Scala/2018> 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. 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 8 letter size (8.5in x 11in) pages and not exceeding 8 pages, including figures, tables, and references using the IEEE format for conference proceedings. Submissions not conforming to these guidelines may be returned without review. Reference style files are available at <http://www.ieee.org/conferences_events/conferences/publishing/templates.html>. All manuscripts will be reviewed and judged on correctness, originality, technical strength, and significance, quality of presentation, and interest and relevance to the workshop attendees. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. 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 for more information. Papers should be submitted electronically at <https://submissions.supercomputing.org<https://submissions.supercomputing.org/>>. Full papers will be published with the SC18 workshop proceedings in the IEEE Xplore Digital Library. Reproducibility Initiative As part of a major initiative that aims to increase the level of reproducibility and replicability of results, ScalA'18 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. Important Web Sites - ScalA18 Website: <https://www.csm.ornl.gov/srt/conferences/Scala/2018> - ScalA18 Submissions: <https://submissions.supercomputing.org<https://submissions.supercomputing.org/>> - SC18 website: <http://sc18.supercomputing.org/> Important Dates - Full paper submission: September 2, 2018 - Notification of acceptance: September 24, 2018 - Final paper submission (firm): October 7, 2018 - Workshop/conference early registration: TBD - Workshop: November 12, 2018 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 - Crosscutting approaches (system software and applications) in addressing scalability challenges - Scientific algorithms that can exploit extreme concurrency (e.g. 1 billion for exascale by 2020) - Naturally fault tolerant, self-healing, or fault oblivious scientific algorithms - Programming model and system software support for algorithm scalability and resilience Workshop Chairs - Vassil Alexandrov, Barcelona Supercomputing Center, Spain - Al Geist, Oak Ridge National Laboratory, USA - Jack Dongarra, University of Tennessee, Knoxville, USA Workshop Program Chair - Christian Engelmann, Oak Ridge National Laboratory, USA Program Committee - Hartwig Anzt, University of Tennessee, Knoxville, USA - Rick Archibald, Oak Ridge National Laboratory, USA - Hans-Joachim Bungartz, Technical University of Munich, Germany - Franck Cappello, Argonne National Laboratory and University of Illinois at Urbana Champaign, USA - James Elliott, Sandia National Laboratories, USA - Nahid Emad, University of Versailles SQ, France - Wilfried Gansterer, University of Vienna, Austria - Kirk E. Jordan, IBM T.J. Watson Research, USA - Aneta Karaivanova, IICT, Bulgarian Academy of Sciences, Bulgaria - Dieter Kranzlmueller, Ludwig-Maximilians-University Munich, Germany - Sriram Krishnamoorthy, Pacific Northwest National Laboratory, USA - Ignacio Laguna, Lawrence Livermore National Laboratory, USA - Ying Liu, University of Chinese Academy of Sciences, China - Piotr Luszczek, University of Tennessee, Knoxville, USA - Michael Mascagni, Florida State University, USA - 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 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<mailto:engelmannc@ornl.gov> / Home: www.christian-engelmann.info<http://www.christian-engelmann.info/>
We apologize if you receive multiple copies of this notice. Due to multiple requests, the deadline for submissions has been extended to September 9, 2018 (firm). ----------------------------------------------------------------------------- ScalA18: 9th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems held in conjunction with the SC18: 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, 2018, Dallas, TX, USA <http://www.csm.ornl.gov/srt/conferences/Scala/2018> 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. 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 8 letter size (8.5in x 11in) pages and not exceeding 8 pages, including figures, tables, and references using the IEEE format for conference proceedings. Submissions not conforming to these guidelines may be returned without review. Reference style files are available at <http://www.ieee.org/conferences_events/conferences/publishing/templates.html>. All manuscripts will be reviewed and judged on correctness, originality, technical strength, and significance, quality of presentation, and interest and relevance to the workshop attendees. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. 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 for more information. Papers should be submitted electronically at <https://submissions.supercomputing.org<https://submissions.supercomputing.org/>>. Full papers will be published with the SC18 workshop proceedings in the IEEE Xplore Digital Library. Reproducibility Initiative As part of a major initiative that aims to increase the level of reproducibility and replicability of results, ScalA'18 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. Important Web Sites - ScalA18 Website: <https://www.csm.ornl.gov/srt/conferences/Scala/2018> - ScalA18 Submissions: <https://submissions.supercomputing.org<https://submissions.supercomputing.org/>> - SC18 website: <http://sc18.supercomputing.org/> Important Dates - Full paper submission: September 9, 2018 - Notification of acceptance: September 27, 2018 - Final paper submission (firm): October 10, 2018 - Workshop/conference early registration: TBD - Workshop: November 12, 2018 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 - Crosscutting approaches (system software and applications) in addressing scalability challenges - Scientific algorithms that can exploit extreme concurrency (e.g. 1 billion for exascale by 2020) - Naturally fault tolerant, self-healing, or fault oblivious scientific algorithms - Programming model and system software support for algorithm scalability and resilience Workshop Chairs - Vassil Alexandrov, Barcelona Supercomputing Center, Spain - Al Geist, Oak Ridge National Laboratory, USA - Jack Dongarra, University of Tennessee, Knoxville, USA Workshop Program Chair - Christian Engelmann, Oak Ridge National Laboratory, USA Program Committee - Hartwig Anzt, University of Tennessee, Knoxville, USA - Rick Archibald, Oak Ridge National Laboratory, USA - Hans-Joachim Bungartz, Technical University of Munich, Germany - Franck Cappello, Argonne National Laboratory and University of Illinois at Urbana Champaign, USA - James Elliott, Sandia National Laboratories, USA - Nahid Emad, University of Versailles SQ, France - Wilfried Gansterer, University of Vienna, Austria - Kirk E. Jordan, IBM T.J. Watson Research, USA - Aneta Karaivanova, IICT, Bulgarian Academy of Sciences, Bulgaria - Dieter Kranzlmueller, Ludwig-Maximilians-University Munich, Germany - Sriram Krishnamoorthy, Pacific Northwest National Laboratory, USA - Ignacio Laguna, Lawrence Livermore National Laboratory, USA - Ying Liu, University of Chinese Academy of Sciences, China - Piotr Luszczek, University of Tennessee, Knoxville, USA - Michael Mascagni, Florida State University, USA - 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 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<mailto:engelmannc@ornl.gov> / Home: www.christian-engelmann.info<http://www.christian-engelmann.info>
We apologize if you receive multiple copies of this notice. ----------------------------------------------------------------------------- ScalA18: 9th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems held in conjunction with the SC18: 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, 2018, Dallas, TX, USA <http://www.csm.ornl.gov/srt/conferences/Scala/2018> <https://sc18.supercomputing.org/session/?sess=sess158> 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. 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. Workshop Chairs: - Vassil Alexandrov, Barcelona Supercomputing Center, Spain - Al Geist, Oak Ridge National Laboratory, USA - Jack Dongarra, University of Tennessee, Knoxville, USA Workshop Program Chair: - Christian Engelmann, Oak Ridge National Laboratory, USA Workshop Program Committee: * Hartwig Anzt, University of Tennessee, Knoxville, USA * Rick Archibald, Oak Ridge National Laboratory, USA * Hans-Joachim Bungartz, Technical University of Munich, Germany * Franck Cappello, Argonne National Laboratory and University of Illinois at Urbana Champaign, USA * James Elliott, Sandia National Laboratories, USA * Nahid Emad, University of Versailles SQ, France * Wilfried Gansterer, University of Vienna, Austria * Kirk E. Jordan, IBM T.J. Watson Research, USA * Dieter Kranzlmueller, Ludwig-Maximilians-University Munich, Germany * Sriram Krishnamoorthy, Pacific Northwest National Laboratory, USA * Ignacio Laguna, Lawrence Livermore National Laboratory, USA * Ying Liu, University of Chinese Academy of Sciences, China * Piotr Luszczek, University of Tennessee, Knoxville, USA * Michael Mascagni, Florida State University, USA * Ron Perrot, University of Oxford, UK * Yves Robert, ENS Lyon, France * Stuart Slattery, Oak Ridge National Laboratory, USA * Keita Teranishi, Sandia National Laboratories, USA Workshop Program * 09:00-10:00 Session 1 * 09:00-09:10 Introduction: Vassil Alexandrov (Barcelona Supercomputing Center, Spain). * 09:10-10:00 Keynote 1: "Few Scheduling Problems for Resilience at Scale," Yves Robert (ENS Lyon, France). * 10:00-10:30 Coffee break (coffee provided) * 10:30-12:30 Session 2 * 10:30-11:10 Keynote 2: "HPC and AI as Drivers for Industrial Engagement," Alison Kennedy (Hartree Centre, Daresbury Laboratory, UK). * 11:10-11:30 Paper 1: "Event-Triggered Communication in Parallel Computing," Soumyadip Ghosh, Kamal Saha, Vijay Gupta, and Gretar Tryggvason. * 11:30-11:50 Paper 2: "Communication Reduced Multi-time-step Algorithm for Real-time Wind Simulation on GPU-based Supercomputers," Naoyuki Onodera, Yasuhiro Idomura, Yussuf Ali, and Takashi Shimokawabe. * 11:50-12:10 Paper 3: "Communication avoiding multigrid preconditioned conjugate gradient method for extreme scale multiphase CFD simulations," Yasuhiro Idomura, Takuya Ina, Susumu Yamashita, Naoyuki Onodera, Susumu Yamada, and Toshiyuki Imamura. * 12:10-12:30 Paper 4: "Non-collective Scalable Global Network Based on Local Communications," Marco Berghoff and Ivan Kondov * 12:30-14:00 Lunch break (lunch on your own) * 14:00-15:00 Session 3 * 14:00-14:20 Paper 5: "Iterative Randomized Algorithms for Low Rank Approximation of Tera-scale Matrices with Small Spectral Gaps," Chander J. Iyer, Alex Gittens, Christopher D. Carothers, and Petros Drineas. * 14:20-14:40 Paper 6: Shift-Collapse Acceleration of Generalized Polarizable Reactive Molecular Dynamics for Machine Learning-Assisted Computational Synthesis of Layered Materials," Kuang Liu, Subodh Tiwari, Chunyang Sheng, Aravind Krishnamoorthy, Sungwook Hong, Pankaj Rajak, Rajiv K. Kalia, Aiichiro Nakano, Ken-ichi Nomura, Priya Vashishta, Manaschai Kunaseth, Saber Naserifar, William A. Goddard III, Ye Luo, Nichols A. Romero, and Fuyuki Shimojo. * 14:40-15:00 Paper 7: "Machine Learning-Aided Numerical Linear Algebra: Convolutional Neural Networks for the Efficient Preconditioner Generation," Markus Götz and Hartwig Anzt. * 15:00-15:30 Coffee break (coffee provided) * 15:30-17:30 Session 4 * 15:30-16:10 Keynote 3: "Hierarchical Algorithms on Hierarchical Architectures," David Keyes (King Abdullah University of Science and Technology, Saudi Arabia). * 16:10-16:30 Paper 8: "Low Thread-count Gustavson: A multithreaded algorithm for sparse matrix-matrix multiplication using perfect hashing Matrices with Small Spectral Gaps," James Elliott and Christopher Siefert. * 16:30-16:50 Paper 9: "A general-purpose hierarchical mesh partitioning method with node balancing strategies for large-scale numerical simulations," Fande Kong, Roy H. Stogner, Derek R. Gaston, John W. Peterson, Cody J. Permann, Andrew E. Slaughter, and Richard C. Martineau. * 16:50-17:10 Paper 10: "Dynamic Load Balancing of Plasma and Flow Simulations," Gerrett Diamond, Cameron Smith, Eisung Yoon, and Mark Shephard. * 17:10-17:30 Paper 11: "On Advanced Monte Carlo Methods for Linear Algebra on Advanced Accelerator Architectures," Anton Lebedev and Vassil Alexandrov. -- 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<mailto:engelmannc@ornl.gov> / Home: www.christian-engelmann.info<http://www.christian-engelmann.info>
We apologize if you receive multiple copies of this notice. The deadline for submissions is September 2, 2019. ----------------------------------------------------------------------------- ScalA19: 10th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems held in conjunction with the SC19: 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 18, 2019, Denver, CO, USA <http://www.csm.ornl.gov/srt/conferences/Scala/2019> 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. 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. Submissions not conforming to these guidelines may be returned without review. Reference style files are available at http://www.ieee.org/conferences_events/conferences/publishing/templates.html. All manuscripts will be reviewed and judged on correctness, originality, technical strength, and significance, quality of presentation, and interest and relevance to the workshop attendees. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. 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 for more information. Papers should be submitted electronically at https://submissions.supercomputing.org. Full papers will be published with the SC19 workshop proceedings in the IEEE Xplore Digital Library. Reproducibility Initiative As part of a major initiative that aims to increase the level of reproducibility and replicability of results, ScalA19 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. Important Web Sites - ScalA19 Website: <https://www.csm.ornl.gov/srt/conferences/Scala/2019> - ScalA19 Submissions: <https://submissions.supercomputing.org> - SC19 website: <http://sc19.supercomputing.org/> Important Dates - Full paper submission: September 2, 2019 - Notification of acceptance: September 23, 2019 - Final paper submission (firm): October 11, 2019 - Workshop/conference early registration: TBD - Workshop: November 18, 2019 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 - Crosscutting approaches (system software and applications) in addressing scalability challenges - Scientific algorithms that can exploit extreme concurrency (e.g. 1 billion for exascale by 2020) - Naturally fault tolerant, self-healing, or fault oblivious scientific algorithms - Programming model and system software support for algorithm scalability and resilience Workshop Chairs - Vassil Alexandrov, Barcelona Supercomputing Center, Spain - Al Geist, Oak Ridge National Laboratory, USA - Jack Dongarra, University of Tennessee, Knoxville, USA Workshop Program Chair - Christian Engelmann, Oak Ridge National Laboratory, USA Program Committee - Hartwig Anzt, University of Tennessee, Knoxville, USA - Rick Archibald, Oak Ridge National Laboratory, USA - Hans-Joachim Bungartz, Technical University of Munich, Germany - Franck Cappello, Argonne National Laboratory and University of Illinois at Urbana Champaign, USA - 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 - Kirk E. Jordan, IBM T.J. Watson Research, USA - Aneta Karaivanova, IICT, Bulgarian Academy of Sciences, Bulgaria - Dieter Kranzlmueller, Ludwig-Maximilians-University Munich, Germany - Sriram Krishnamoorthy, Pacific Northwest National Laboratory, USA - Paul Lin, Sandia National Laboratories - Michael Mascagni, Florida State University, USA - Yves Robert, ENS Lyon, France - Stuart Slattery, Oak Ridge National Laboratory, USA - Keita Teranishi, Sandia National Laboratories, USA -- 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 -- 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
We apologize if you receive multiple copies of this notice. The deadline for submissions is September 2, 2019. ----------------------------------------------------------------------------- ScalA19: 10th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems held in conjunction with the SC19: 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 18, 2019, Denver, CO, USA <http://www.csm.ornl.gov/srt/conferences/Scala/2019> 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. 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 SC19 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. Reproducibility Initiative As part of a major initiative that aims to increase the level of reproducibility and replicability of results, ScalA19 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. Important Web Sites - ScalA19 Website: <https://www.csm.ornl.gov/srt/conferences/Scala/2019> - ScalA19 Submissions: <https://submissions.supercomputing.org> - SC19 website: <http://sc19.supercomputing.org/> Important Dates - Full paper submission: September 2, 2019 - Notification of acceptance: September 23, 2019 - Final paper submission (firm): October 11, 2019 - Workshop/conference early registration: TBD - Workshop: November 18, 2019 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 - Crosscutting approaches (system software and applications) in addressing scalability challenges - Scientific algorithms that can exploit extreme concurrency (e.g. 1 billion for exascale by 2020) - Naturally fault tolerant, self-healing, or fault oblivious scientific algorithms - Programming model and system software support for algorithm scalability and resilience Workshop Chairs - Vassil Alexandrov, Barcelona Supercomputing Center, Spain - 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 - Franck Cappello, Argonne National Laboratory and University of Illinois at Urbana Champaign, USA - 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 - 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, Sandia National Laboratories - Michael Mascagni, Florida State University, USA - Yves Robert, ENS Lyon, France - Stuart Slattery, Oak Ridge National Laboratory, USA - Keita Teranishi, Sandia National Laboratories, USA -- 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
We apologize if you receive multiple copies of this notice. The deadline for submissions is September 2, 2019. ----------------------------------------------------------------------------- ScalA19: 10th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems held in conjunction with the SC19: 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 18, 2019, Denver, CO, USA <http://www.csm.ornl.gov/srt/conferences/Scala/2019> 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. 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 SC19 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. Reproducibility Initiative As part of a major initiative that aims to increase the level of reproducibility and replicability of results, ScalA19 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. Important Web Sites - ScalA19 Website: <https://www.csm.ornl.gov/srt/conferences/Scala/2019> - ScalA19 Submissions: <https://submissions.supercomputing.org> - SC19 website: <http://sc19.supercomputing.org/> Important Dates - Full paper submission: September 2, 2019 - Notification of acceptance: September 23, 2019 - Final paper submission (firm): October 11, 2019 - Workshop/conference early registration: TBD - Workshop: November 18, 2019 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 - Crosscutting approaches (system software and applications) in addressing scalability challenges - Scientific algorithms that can exploit extreme concurrency (e.g. 1 billion for exascale by 2020) - Naturally fault tolerant, self-healing, or fault oblivious scientific algorithms - Programming model and system software support for algorithm scalability and resilience 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 - Franck Cappello, Argonne National Laboratory and University of Illinois at Urbana Champaign, USA - 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 - 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, Sandia National Laboratories - Michael Mascagni, Florida State University, USA - Yves Robert, ENS Lyon, France - Stuart Slattery, Oak Ridge National Laboratory, USA - Keita Teranishi, Sandia National Laboratories, USA -- 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
We apologize if you receive multiple copies of this notice. The new (firm) deadline for submissions is September 9, 2019. ----------------------------------------------------------------------------- ScalA19: 10th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems held in conjunction with the SC19: 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 18, 2019, Denver, CO, USA <http://www.csm.ornl.gov/srt/conferences/Scala/2019> 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. 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 SC19 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. Reproducibility Initiative As part of a major initiative that aims to increase the level of reproducibility and replicability of results, ScalA19 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. Important Web Sites - ScalA19 Website: <https://www.csm.ornl.gov/srt/conferences/Scala/2019> - ScalA19 Submissions: <https://submissions.supercomputing.org> - SC19 website: <http://sc19.supercomputing.org/> Important Dates - Full paper submission (firm): September 9, 2019 - Notification of acceptance: September 30, 2019 - Final paper submission (firm): October 11, 2019 - Workshop/conference early registration: TBD - Workshop: November 18, 2019 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 - Crosscutting approaches (system software and applications) in addressing scalability challenges - Scientific algorithms that can exploit extreme concurrency (e.g. 1 billion for exascale by 2020) - Naturally fault tolerant, self-healing, or fault oblivious scientific algorithms - Programming model and system software support for algorithm scalability and resilience 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 - Franck Cappello, Argonne National Laboratory and University of Illinois at Urbana Champaign, USA - 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 - 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, Sandia National Laboratories - Michael Mascagni, Florida State University, USA - Yves Robert, ENS Lyon, France - Stuart Slattery, Oak Ridge National Laboratory, USA - Keita Teranishi, Sandia National Laboratories, USA -- 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
ScalA19: 10th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems November 18, 2019, Denver, CO, USA https://www.csm.ornl.gov/srt/conferences/Scala/2019 held in conjunction with SC19: 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) The workshop program is also listed in the SC online program: Session - 10th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems<https://sc19.supercomputing.org/session/?sess=sess124> * 09:00-10:00 Session 1 * 09:00-10:00 Keynote 1: "The Extreme-scale Scientific Software Stack and its promise for the Exascale Computing Era," Dr. Michael Heroux (Sandia National Laboratories). * 10:00-10:30 Coffee break (coffee provided) * 10:30-12:30 Session 2 * 10:30-11:30 Keynote 2: "Towards Scaling Deep Learning to 100,000 processors - The Fugaku Challenge," Prof. Satoshi Matsuoka (RIKEN Center for Computational Science and Tokyo Institute of Technology). * 11:30-11:50 Paper 1: "GPU Acceleration of Communication Avoiding Chebyshev Basis Conjugate Gradient Solver for Multiphase CFD Simulations," Yussuf Ali, Naoyuki Onodera, Yasuhiro Idomura, Takuya Ina, and Toshiyuki Imamura. * 11:50-12:10 Paper 2: "Optimization of a Solver for Computational Materials and Structures Problems on NVIDIA Volta and AMD Instinct GPUs," Mohammad Zubair, James Warner, and David Wagner. * 12:10-12:30 Paper 3: "Towards Half-Precision Computation for Complex Matrices: A Case Study for Mixed Precision Solvers on GPUs," Ahmad Abdelfattah, Stanimire Tomov, and Jack Dongarra. * 12:30-14:00 Lunch break (lunch on your own) * 14:00-15:00 Session 3 * 14:00-15:00 Keynote 3: "Exascale Application Progress and Challenges," Dr. Douglas B. (Doug) Kothe (Oak Ridge National Laboratory). * 15:00-15:30 Coffee break (coffee provided) * 15:30-17:30 Session 4 * 15:30-15:50 Paper 4: "Extreme Scale Phase-Field Simulation of Sintering Processes," Henrik Hierl, Johannes Hötzer, Marco Seiz, Andreas Reiter, and Britta Nestler. * 15:50-16:10 Paper 5: "Generic matrix multiplication for multi-GPU accelerated distributed-memory platforms over PaRSEC," Thomas Herault, Yves Robert, George Bosilca, and Jack Dongarra. * 16:10-16:30 Paper 6: "Towards Accelerated Unstructured Mesh Particle-in-Cell," Gerrett Diamond, Cameron Smith, and Mark Shephard. * 16:30-16:50 Paper 7: "Parallel Multigrid Methods on Manycore Clusters with IHK/McKernel," Kengo Nakajima, Balazs Gerofi, Yutaka Ishikawa, and Masashi Horikoshi. * 16:50-17:10 Paper 8: "Making Speculative Scheduling Robust to Incomplete Data," Ana Gainaru and Guillaume Pallez. * 17:10-17:30 Paper 9: "Parallel SFC-based mesh partitioning and load balancing," Ricard Borrell, Gillermo Oyarzun, Damien Dosimont, and Guillaume Houzeaux. -- 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<mailto:engelmannc@ornl.gov> / Home: www.christian-engelmann.info<http://www.christian-engelmann.info>
We apologize if you receive multiple copies of this notice. There has been a change in the program. ----------------------------------------------------------------------------- ScalA19: 10th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems November 18, 2019, Denver, CO, USA <https://www.csm.ornl.gov/srt/conferences/Scala/2019/> The workshop program is also listed in the SC online program: <https://www.csm.ornl.gov/srt/conferences/Scala/2019/> • 09:00-10:00 Session 1 • 09:00-10:00 Keynote 1: "Exascale Application Progress and Challenges," Dr. Douglas B. (Doug) Kothe (Oak Ridge National Laboratory) and Lori A. Diachin (Lawrence Livermore National Laboratory). • 10:00-10:30 Coffee break (coffee provided) • 10:30-12:30 Session 2 • 10:30-11:30 Keynote 2: "Towards Scaling Deep Learning to 100,000 processors - The Fugaku Challenge," Prof. Satoshi Matsuoka (RIKEN Center for Computational Science and Tokyo Institute of Technology). • 11:30-11:50 Paper 1: "GPU Acceleration of Communication Avoiding Chebyshev Basis Conjugate Gradient Solver for Multiphase CFD Simulations," Yussuf Ali, Naoyuki Onodera, Yasuhiro Idomura, Takuya Ina, and Toshiyuki Imamura. • 11:50-12:10 Paper 2: "Optimization of a Solver for Computational Materials and Structures Problems on NVIDIA Volta and AMD Instinct GPUs," Mohammad Zubair, James Warner, and David Wagner. • 12:10-12:30 Paper 3: "Towards Half-Precision Computation for Complex Matrices: A Case Study for Mixed Precision Solvers on GPUs," Ahmad Abdelfattah, Stanimire Tomov, and Jack Dongarra. • 12:30-14:00 Lunch break (lunch on your own) • 14:00-15:00 Session 3 • 14:00-15:00 Keynote 3: "The Extreme-scale Scientific Software Stack and its promise for the Exascale Computing Era," Dr. Michael Heroux (Sandia National Laboratories). • 15:00-15:30 Coffee break (coffee provided) • 15:30-17:30 Session 4 • 15:30-15:50 Paper 4: "Extreme Scale Phase-Field Simulation of Sintering Processes," Henrik Hierl, Johannes Hötzer, Marco Seiz, Andreas Reiter, and Britta Nestler. • 15:50-16:10 Paper 5: "Generic matrix multiplication for multi-GPU accelerated distributed-memory platforms over PaRSEC," Thomas Herault, Yves Robert, George Bosilca, and Jack Dongarra. • 16:10-16:30 Paper 6: "Towards Accelerated Unstructured Mesh Particle-in-Cell," Gerrett Diamond, Cameron Smith, and Mark Shephard. • 16:30-16:50 Paper 7: "Parallel Multigrid Methods on Manycore Clusters with IHK/McKernel," Kengo Nakajima, Balazs Gerofi, Yutaka Ishikawa, and Masashi Horikoshi. • 16:50-17:10 Paper 8: "Making Speculative Scheduling Robust to Incomplete Data," Ana Gainaru and Guillaume Pallez. • 17:10-17:30 Paper 9: "Parallel SFC-based mesh partitioning and load balancing," Ricard Borrell, Gillermo Oyarzun, Damien Dosimont, and Guillaume Houzeaux. -- 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<mailto:engelmannc@ornl.gov> / Home: www.christian-engelmann.info<http://www.christian-engelmann.info>
We apologize if you receive multiple copies of this notice. ----------------------------------------------------------------------------- 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 November 16, 2020, Atlanta, GA, USA <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. 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/> Important Dates --------------- - Full paper submission: September 1, 2020 - Notification of acceptance: October 1, 2020 - Final paper submission (firm): TBD - Workshop/conference early registration: TBD - Workshop: November 16, 2020 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 -- 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
******************************************************************** Call for Participation Workshop on Hierarchical Parallelism for Exascale Computing ---HiPar20--- Held in conjunction with SC20, Atlanta, GA. In cooperation with: IEEE and TCHPC. www.hipar.net ******************************************************************** ================================ Summary ================================ High Performance Computing (HPC) platforms are evolving towards having fewer but more powerful nodes, driven by the increasing number of physical cores in multiple sockets and accelerators. The boundary between nodes and networks is starting to blur, with some nodes now containing tens of compute elements and memory sub-systems connected via a memory fabric. The immediate consequence is an increase in complexity due to ever more complex architectures (e.g., memory hierarchies), novel accelerator designs, and energy constraints. Spurred largely by this trend, hierarchical parallelism is gaining momentum. This approach embraces, rather than avoiding, the intrinsic complexity of current and future HPC systems by exploiting parallelism at all levels: compute, memory and network. This workshop focuses on hierarchical parallelism. It aims to bring together application, hardware, and software practitioners proposing new strategies to fully exploit computational hierarchies, and examples to illustrate their benefits to achieve extreme scale parallelism. ================================ Scope and Aims ================================ HiPar20 is designed to showcase new studies, approaches, and cutting-edge ideas on hierarchical parallelism for extreme-scale computing. We welcome papers and talks from the HPC community addressing the use of emerging architectures — focusing particularly on those characterized by fewer but more powerful nodes as well as systems with hierarchical network with tiered communication semantics. Specifically, the emphasis is on the design, implementation, and application of programming models for multi-level parallelism, including abstractions for hierarchical memory access, heterogeneity, multi-threading, vectorization, and energy efficiency, as well as scalability and performance studies thereof. Of particular interest are models addressing these concerns portably: providing ease of programming and maintaining performance in the presence of varied accelerators, hardware configurations, and execution models. Studies that explore the merits of specific approaches to addressing these concerns, such as generic programming or domain specific languages, are also in scope. The workshop is not limited to the traditional HPC software community. As one example, another key topic is the use of hierarchical parallelism in dealing with the challenges arising in machine learning due to the growing importance of this field, the large scale of systems tackled in that area, and the increasing interest from more traditional HPC areas. A goal of HiPar20 is to highlight not just success stories but also discuss drawbacks and challenges. HiPar20 welcomes HPC practitioners from all areas, ranging from hardware and compiler experts to algorithms and software developers, to present and discuss the state of the art in emerging approaches to utilize multi-level parallelism for extreme scale computing. ================================ Topics ================================ Submissions are encouraged in, but not limited to the following areas: * Hierarchical work scheduling and execution; * Hardware, software, and algorithmic advances for efficient use of memory hierarchies, multi-threading and vectorization; * Efficient use of nested parallelism, for example CUDA dynamic parallelism, for large scale simulations; * Programming heterogeneous nodes; * Leading-edge programming models, for example fully distributed task-based models and hybrid MPI+X, with X representing shared memory parallelism via threads, vectorization, tasking or parallel loop constructs. * Implementations of algorithms that are natural fits for nested work (for example approaches that use recursion); * Challenges and successes in managing computing hierarchies; * Examples demonstrating effective use of the combination of inter-node and intra-node parallelism; * Novel approaches leveraging asynchronous execution to maximize efficiency; * Challenges and successes of porting of existing applications to many-core and heterogeneous platforms; * Recent developments in compiler optimizations for emerging architectures; * Applications of hierarchical programming models from emerging AI fields, for example deep learning and extreme-scale data analytics. ================================ Submission Guidelines ================================ We solicit submissions in the following categories: (a) Regular research papers: Intended for submissions describing original work and ideas that have not appeared in another conference or journal, and are not currently under review for any other conference or journal. Regular papers must be at least (6) and must not exceed (10) letter size pages (U.S. letter – 8.5"x11"). Accepted regular papers will be published in the workshop proceedings in cooperation with IEEE TCHPC. (b) Short papers: Intended for material that is not mature enough for a full paper, to present novel, interesting ideas or preliminary results that will be formally submitted elsewhere. Short papers must not exceed four (4) pages. Short papers will NOT be included in the proceedings. Please note that: - The page limits above only apply to the core text, content-related appendices, and figures. References and reproducibility appendix do not count against the page limit. - When deciding between submissions with comparable evaluations, priority will be given to those with higher quality of presentation and whose focus relates more directly to the workshop themes. - Papers must be submitted electronically at https://submissions.supercomputing.org/ and must follow the IEEE format: www.ieee.org/conferences/publishing/templates.html ================================ Reproducibility Initiative ================================ HiPar20 follows the SC20 reproducibility and transparency initiative. The SC20 details can be found at: https://sc20.supercomputing.org/submit/transparency-reproducibility-initiati.... HiPar20 requires all submission to include an Artifact Description (AD) Appendix. Note that the AD will be auto-generated from author responses to a form embedded in the online submission system. The Artifact Evaluation (AE) remains optional. We also encourage authors to follow the transparency initiative for two reasons: (a) it helps the authors themselves with the actual writing and structuring of the paper to express the research process; (b) it helps readers understand the thinking process used by the authors to plan, obtain and explain their results. ================================ Coronavirus and HiPar20 ================================ We are monitoring the situation on a daily basis, following closely the SC20 updates: https://sc20.supercomputing.org/attend/coronavirus-sc/ https://sc20.supercomputing.org/2020/03/10/hpc-supports-pandemic-research-ef... We are brainstorming about hosting the workshop in a virtual setting, should SC20 become digital. Please refer to our HiPar20 website www.hipar.net for latest updates. ================================ Important dates ================================ Submission Deadline: August 31, 2020 (AoE) Author Notification: September 14, 2020 Camera Ready: October 5, 2020 Final Program: October 9, 2020 Workshop Date: Sun Nov 15, 9am-5:30pm ================================ Chairs and Committees ================================ Workshop chair: - Francesco Rizzi NexGen Analytics Organizing Committee: - D.S. Hollman Sandia National Labs - Lee Howes Facebook - Xiaoye Sherry Li Lawrence Berkeley National Lab Program Committee Chairs: - Christian Trott Sandia National Labs - Filippo Spiga NVIDIA Program Committee: - Mark Bull EPCC - Carlo Cavazzoni CINECA - Benjamin Cumming CSCS - Chris Forster NVIDIA - Marta Garcia Gasulla BSC - Anja Gerbes Geothe Uni.Frankfurt - Mark Hoemmen Stellar Science - Toshiyuki Imamura RIKEN - Guido Juckeland Helmholtz Center - Hartmut Kaiser LSU - Vivek Kale Brookhaven Labs - Jonathan Lifflander Sandia National Labs - James Lin Shanghai J.Tong Univ. - Aram Markosyan Xilinx - Rui Oliveira INESC TEC - Philippe Pebay NexGen Analytics - Zhiqi Tao Intel - Flavio Vella Univ. of Bozen - Michèle Weiland EPCC - Jeremiah Wilke Sandia National Labs ================================ Contact information: ================================ For questions, please email us at: hiparws@gmail.com
We apologize if you receive multiple copies of this notice. ----------------------------------------------------------------------------- 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 16, 2020, Atlanta, GA, USA <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/> 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 16, 2020 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 -- 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
We apologize if you receive multiple copies of this notice. ----------------------------------------------------------------------------- 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 16, 2020, Atlanta, GA, USA <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<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<mailto: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<https://submissions.supercomputing.org/>> - SC20 website: <http://sc20.supercomputing.org/> 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 16, 2020 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<mailto: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 -- 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<mailto:engelmannc@ornl.gov> / Home: www.christian-engelmann.info<http://www.christian-engelmann.info/>
We apologize if you receive multiple copies of this notice. The ScalA20 Workshop will be held virtual this year, in conjunction with the virtual SC20 conference. ----------------------------------------------------------------------------- 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 11-13, 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 11-13, 2020 (virtual location, details TBD) 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 -- 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
We apologize if you receive multiple copies of this notice. ----------------------------------------------------------------------------- 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 -- 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
We apologize if you receive multiple copies of this notice. The submission deadline has been extended to September 8, 2020. ----------------------------------------------------------------------------- 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 8, 2020 (extended, firm) - 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 -- 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
We apologize if you receive multiple copies of this notice. ----------------------------------------------------------------------------- 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. 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<mailto:engelmannc@ornl.gov> Workshop Program ---------------- The workshop will be held as a live online session on Thursday, November 12 2020, 10:00 - 18:30 in the US Eastern Time Zone. The live session will be recorded and available on demand afterwards. The SC20 virtual platform can be found here: https://www.eventscribe.net/2020/SC20/index.asp? All Times in US Eastern Time Zone: Session 1 10:00-10:10 Welcome 10:10-11:00 Keynote 1: "Performance Evaluation of The Supercomputer "Fugaku" and A64FX Manycore Processor," Mitsuhisa Sato (RIKEN Center for Computational Science, Japan). 11:00-11:25 Paper 1: "An Integer Arithmetic-Based Sparse Linear Solver Using a GMRES Method and Iterative Refinement," Takeshi Iwashita, Kengo Suzuki and Takeshi Fukaya. 11:25-11:50 Coffee break (coffee on your own) Session 2 11:50-12:40 Keynote 2: "High Performance Data Analytics and Some Applications," Nahid Emad (University of Paris-Saclay, France). 12:40-13:05 Paper 2: "Two-stage Asynchronous Iterative Solvers for multi-GPU Clusters," Pratik Nayak, Terry Cojean and Hartwig Anzt. 13:05-13:30 Paper 3: "Revisiting exponential integrator methods for HPC with a mini-application," James Douglas Shanks. 13:30-13:55 Paper 4: "A Survey of Singular Value Decomposition Methods for Distributed Tall/Skinny Data," Drew Schmidt. 13:55-14:30 Lunch break (lunch on your own) Session 3 14:30-15:20 Keynote 3: "ECP: Recent Experiences in Porting Complex Applications to Accelerator-based Systems," Andrew Siegel (Argonne National Laboratory, USA). 15:20-15:45 Paper 5: "Replacing Pivoting in Distributed Gaussian Elimination with Randomized Techniques," Neil Lindquist, Piotr Luszczek and Jack J. Dongarra. 15:45-16:10 Paper 6: "Recursive Basic Linear Algebra Operations on TensorCore GPU," Shaoshuai Zhang, Vivek Karihaloo and Panruo Wu. 16:10-16:35 Paper 7: "High-Order Finite Element Method using Standard and Device-Level Batch GEMM on GPUs," Natalie Beams, Ahmad Abdelfattah, Stanimire Tomov, Jack J. Dongarra, Tzanio Kolev and Yohann Dudouit. 16:35-17:00 Coffee break (coffee on your own) Session 4 17:00-17:25 Paper 8: "A Fast Scalable Iterative Implicit Solver with Green's function-based Neural Networks," Tsuyoshi Ichimura, Kohei Fujita, Muneo Hori, Lalith Maddegedara, Naonori Ueda and Yuma Kikuchi. 17:25-17:50 Paper 9: "Implementation and Numerical techniques for One Eflop/s HPL-AI benchmark on Fugaku," Toshiyuki Imamura, Shuhei Kudo, Keigo Nitadori and Takuya Ina. 17:50-18:15 Paper 10: "Performance Analysis of a Quantum Monte Carlo Application on Multiple Hardware Architectures Using the HPX Runtime," Weile Wei, Arghya Chatterjee, Kevin Huck, Oscar Hernandez and Hartmut Kaiser. 18:15-18:30 Closing The workshop program is also listed in the SC online program: https://sc20.supercomputing.org/session/?sess=sess214 -- 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@ornl.gov<mailto:engelmannc@ornl.gov> / Home: www.christian-engelmann.info<http://www.christian-engelmann.info>
We apologize if you receive multiple copies of this notice. ----------------------------------------------------------------------------- ScalA’17: 8th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems held in conjunction with the SC17: The International Conference on High Performance Computing, Networking, Storage and Analysis in cooperation with ACM SIGHPC November 13, 2017, Denver, CO, USA <http://www.csm.ornl.gov/srt/conferences/Scala/2017 <http://www.csm.ornl.gov/srt/conferences/Scala/2017>> ----------------------------------------------------------------------------- The final program of the workshop has been posted at <http://www.csm.ornl.gov/srt/conferences/Scala/2017 <http://www.csm.ornl.gov/srt/conferences/Scala/2017>>. It is also listed in the SC'17 online program at <http://sc17.supercomputing.org/session/?sess=sess425 <http://sc17.supercomputing.org/session/?sess=sess425>>. We have an awesome program with 4 keynotes, 10 paper presentations, and one invited talk. 09:00-10:05 Session 1 09:00-09:05 Introduction: Vassil Alexandrov (Barcelona Supercomputing Center, Spain). 09:05-09:45 Keynote 1: "Application Development Framework for Manycore Architectures on Post-Peta/Exascale Systems," Kengo Nakajima (The University of Tokyo, Japan). 09:45-10:05 Paper 1: "Dynamic Task Discovery in PaRSEC- A data-flow task-based Runtime," Reazul Hoque, Thomas Herault, George Bosilca, and Jack Dongarra. 10:05-10:30 Coffee break (coffee provided) 10:30-12:50 Session 2 10:30-11:10 Keynote 2: "Breakthrough Science at the Exascale," Katherine Yelick (Lawrence Berkeley National Laboratory, USA, and University of California, Berkeley, USA). 11:10-11:30 Paper 2: "Flexible Batched Sparse Matrix-Vector Product on GPUs," Hartwig Anzt, Gary Collins, Jack Dongarra, Goran Flegar, and Enrique S. Quintana-Orti. 11:30-11:50 Paper 3: "Snowpack: Efficient Parameter Choice for GPU Kernels via Static Analysis and Statistical Prediction," Ranvijay Singh, Paul Wood, Ravi Gupta, Saurabh Bagchi, and Ignacio Laguna. 11:50-12:10 Paper 4: "Leveraging NVLINK and Asynchronous Data Transfer to Scale Beyond the Memory Capacity of GPUs," David Appelhans, and Bob Walkup. 12:10-12:30 Paper 5: "Application of a communication-avoiding generalized minimal residual method to a gyrokinetic five dimensional Eulerian code on many core platforms," Yasuhiro Idomura, Takuya Ina, Akie Mayumi, Susumu Yamada, Kazuya Matsumoto, Yuuichi Asahi, and Toshiyuki Imamura. 12:30-12:50 Paper 6: "Parallel Jaccard and Related Graph Clustering Techniques," Alexandre Fender, Nahid Emad, Serge Petiton, Joe Eaton, and Maxim Naumov. 12:50-14:00 Lunch break (lunch on your own) 14:00-15:00 Session 3 14:00-14:40 Keynote 3: "An Overview of High Performance Computing and Challenges for the Future", Jack Dongarra (University of Tennessee, Knoxville, USA). 14:40-15:00 Paper 7: "Investigating Half Precision Arithmetic to Accelerate Dense Linear System Solvers," Azzam Haidar, Panruo Wu, Stanimire Tomov, and Jack Dongarra. 15:00-15:30 Coffee break (coffee provided) 15:30-17:30 Session 4 15:30-16:10 Keynote 4: "A Holistic Approach to Advancing Science & Engineering through Extreme-scale Computing," Michael A. Heroux (Sandia National Laboratories, USA). 16:10-16:30 Paper 8: "A Highly Scalable, Algorithm-Based Fault-Tolerant Solver for Gyrokinetic Plasma Simulations," Michael Obersteiner, Alfredo Parra Hinojosa, Mario Heene, Hans-Joachim Bungartz, and Dirk Pflüger. 16:30-16:50 Paper 9: "Analyzing the Criticality of Transient Faults-Induced SDCs on GPU Applications," Fernando Santos, and Paolo Rech. 16:50-17:10 Paper 10: "Dynamic Load Balancing of Massively Parallel Unstructured Meshes," Gerrett Diamond, Cameron Smith, and Mark Shephard. 17:10-17:30 Invited talk: "On Improved Monte Carlo Hybrid Methods for Preconditioner Computations," Anton Lebedev, Vassil Alexandrov, and Oscar Esquivel-Flores. Best regards, Christian Engelmann, Oak Ridge National Laboratory, USA (Workshop Program Co-chair) on behalf of, Vassil Alexandrov, Barcelona Supercomputing Center, Spain (Workshop Co-chair) Al Geist, Oak Ridge National Laboratory, USA (Workshop Co-chair) Jack Dongarra, University of Tennessee, Knoxville, USA (Workshop Co-chair) -- Christian Engelmann, Ph.D. 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 <mailto:engelmannc@ornl.gov> / Home: www.christian-engelmann.info <http://www.christian-engelmann.info/>
participants (3)
-
Christian Engelmann -
Engelmann, Christian -
Rizzi, Francesco NMN