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DTSTART:19700308T020000
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DTSTART:19701101T020000
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BEGIN:VEVENT
DTSTAMP:20260422T000711Z
LOCATION:205-207
DTSTART;TZID=America/Denver:20231115T153000
DTEND;TZID=America/Denver:20231115T170000
UID:submissions.supercomputing.org_SC23_sess193_pan110@linklings.com
SUMMARY:HPC and Cloud Converged Computing: Merging Infrastructures and Com
 munities
DESCRIPTION:Daniel Milroy (Lawrence Livermore National Laboratory (LLNL));
  Michela Taufer (University of Tennessee, University of Delaware); Seethar
 ami Seelam (IBM TJ Watson Research Center); Bill Magro (Google LLC); Heidi
  Poxon (Amazon Web Services); and Todd Gamblin (Lawrence Livermore Nationa
 l Laboratory (LLNL))\n\nThe end of Dennard scaling and tapering of Moore’s
  law has led to economic conditions that favor cloud hyperscalers. Consequ
 ently, cloud is projected to be the largest sector of computing by revenue
  by 2025. The tremendous growth translates into substantial investment in 
 research and development to manage the complexity of emerging systems. Clo
 ud technologies such as elasticity, containerization and orchestration, an
 d automation are gaining prevalence in HPC due to their abilities to manag
 e new composite scientific workflows. Similarly, HPC techniques for perfor
 mance optimization, scheduling, and fine-grained resource management are b
 eing integrated into the cloud to improve performance. The trend of integr
 ating technologies from each community into the other leads to Converged C
 omputing, an environment that combines the best capabilities from both wor
 lds. In this highly interactive panel, we invite experts from industry, na
 tional laboratories, and academia to discuss their experiences with conver
 ged computing and share their views on its future.\n\nTag: Artificial Inte
 lligence/Machine Learning, Cloud Computing, Heterogeneous Computing\n\nReg
 istration Category: Tech Program Reg Pass\n\nSession Chair: Daniel J Milro
 y (Lawrence Livermore National Laboratory (LLNL))\n\n
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