SC21 Proceedings

SC Panels Archives



  1. Beyond the Hype: Is There a Typical AI/ML Storage Workload?. Dean Hildebrand (Google LLC), Ana Klimovic (ETH Zürich), Feiyi Wang (Oak Ridge National Laboratory (ORNL)), Anthony Kougkas (Illinois Institute of Technology), Chris (CJ) Newburn (NVIDIA Corporation), and Abdulrahman Salem (Google LLC)

  2. Bioinformatics, HPC and AI : Convergence, Perspectives and the Future for Biomedical Applications. Eric Stahlberg (Frederick National Laboratory for Cancer Research), Patricia Kovatch (Icahn School of Medicine at Mount Sinai), Martha (Marti) Head (Oak Ridge National Laboratory (ORNL)), Erin Crowgey (Nemours Alfred I duPont Hospital for Children), Sean Davis (University of Colorado), David Jaffray (MD Anderson Cancer Center), and Jill Barnholtz-Sloan (National Cancer Institute (NCI))

  3. The Computing Cambrian Explosion: The Future of HPC with Non-Von Neumann Computing. Catherine Schuman (Oak Ridge National Laboratory (ORNL)), Dhireesha Kudithipudi (University of Texas, San Antonio); Michael Frank (Sandia National Laboratories); Catherine Graves (Hewlett Packard Labs); Jennifer Hasler (Georgia Institute of Technology); Travis Humble (Oak Ridge National Laboratory (ORNL)); and Advait Madhavan (National Institute of Standards and Technology (NIST), University of Maryland)

  4. Great Edge-pectations: How Edge and Exascale Found Love. Pete Beckman (Argonne National Laboratory (ANL), Northwestern University), Lavanya Ramakrishnan (Lawrence Berkeley National Laboratory (LBNL)); Rick Stevens (Argonne National Laboratory (ANL), University of Chicago); Satoshi Matsuoka (RIKEN, Tokyo Institute of Technology); and Eric Van Hensbergen (ARM Ltd)

  5. Heterogeneity in Hardware: Opportunities and Challenges for Software and Applications. Hatem Ltaief and Bilel Hadri (King Abdullah University of Science and Technology (KAUST)), Anima Anandkumar (NVIDIA Corporation, California Institute of Technology); Laura Grigori (National Institute for Research in Computer Science and Automation (Inria), France); Robert W. Wisniewski (Intel Corporation); Piotr Luszczek (University of Tennessee, Knoxville); James Lin (Shanghai Jiao Tong University); and Satoshi Matsuoka (RIKEN Center for Computational Science (R-CCS))

  6. High-Performance Statistical Computing: Building a Statistics Community within Supercomputing. George Ostrouchov (Oak Ridge National Laboratory (ORNL); University of Tennessee, Knoxville), Marc G. Genton (King Abdullah University of Science and Technology (KAUST)); David Keyes (King Abdullah University of Science and Technology (KAUST), Columbia University); Norman Matloff (University of California, Davis); Douglas Nychka (Colorado School of Mines); Georgia Tourassi (Oak Ridge National Laboratory (ORNL)); and Rio Yokota (Tokyo Institute of Technology)

  7. HPC Response to the COVID-19 Pandemic. Piotr Luszczek (University of Tennessee, Knoxville) and Hatem Ltaief (King Abdullah University of Science and Technology (KAUST)), David Keyes (King Abdullah University of Science and Technology (KAUST)); Rick Stevens (Argonne National Laboratory (ANL), University of Chicago); Florent Duchaine (CERFACS, France); Makoto Tsubokura (Kobe University, Japan); Daniel Jacobson (Oak Ridge National Laboratory (ORNL)); and Patricia Kovatch (Icahn School of Medicine at Mount Sinai, Columbia University)

  8. HPC’s Growing Sustainability Challenges and Emerging Approaches. Andrew Chien (University of Chicago, Argonne National Laboratory (ANL)), Steve Hammond (National Renewable Energy Laboratory (NREL)), Bill Magro (Google LLC), Michael McNamara (Lancium), and Erik Riedel (ITRenew)

  9. Performance and Correctness Tools for Extreme-Scale Computing. Ignacio Laguna (Lawrence Livermore National Laboratory), Barton Miller (University of Wisconsin, Madison); David Abramson (University of Queensland); Heidi Poxon (Amazon); Marta Garcia-Gasulla (Barcelona Supercomputing Center (BSC)); and Todd Gamblin (Lawrence Livermore National Laboratory)

  10. A Precipice of Transformation: Programming Models for Future HPC Systems. Hal Finkel (US Department of Energy), Justin Gottschlich (Intel Corporation); Saman Amarasinghe (Massachusetts Institute of Technology (MIT)); Torsten Hoefler (ETH Zürich); Maya Gokhale (Lawrence Livermore National Laboratory); and Kathy Yelick (University of California, Berkeley)

  11. Reproducibility in HPC: Passing Fad or a Work in Progress?. Daniel Reed (University of Utah), Beth Plale (Indiana University); Fernando Perez (University of California, Berkeley); Lorena Barba (George Washington University); Tanu Malik (DePaul University); and Tom Scogland (Lawrence Livermore National Laboratory)

  12. Resource Disaggregation in High-Performance Computing. Balazs Gerofi (RIKEN) and John Shalf (Lawrence Berkeley National Laboratory (LBNL)), Keren Bergman (Columbia University), Doug Carmean (Microsoft Corporation), Larry Dennison (NVIDIA Corporation), Mark Wade (Ayar Labs), and Takashi Miyoshi (Fujitsu Ltd)

  13. Runtime Systems for Zettascale. Rosa M. Badia (Barcelona Supercomputing Center (BSC), Polytechnic University of Catalonia), Rajeev Thakur (Argonne National Laboratory (ANL)); Samuel Thibault (University of Bordeaux (IMB); National Institute for Research in Computer Science and Automation (Inria), France); Didem Unat (Koç University, Turkey); Mitsuhisa Sato (RIKEN Center for Computational Science (R-CCS)); and Vicenç Beltran (Barcelona Supercomputing Center (BSC))

  14. SmartNICs: The Future or Folly?. Ryan Eric Grant (Sandia National Laboratories, University of New Mexico), Gordon Brebner (Xilinx Inc), Richard Graham (Mellanox Technologies Ltd), Steve Poole (Los Alamos National Laboratory), Duncan Roweth (Hewlett Packard Enterprise), and Roxana Rusitoru (ARM Ltd)

  15. Strategies for Working Remotely: Sustainable Hybrid Approaches for HPC. Elaine Raybourn (Sandia National Laboratories), Sadaf Alam (Swiss National Supercomputing Centre (CSCS)), Christian Bischof (Technical University Darmstadt), Helen Cademartori (Lawrence Berkeley National Laboratory (LBNL)), Devin Hodge (Argonne National Laboratory (ANL)), Kengo Nakajima (University of Tokyo), and Pat Quillen (MathWorks)



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