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DTSTAMP:20250626T234541Z
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DTSTART;TZID=America/New_York:20241120T171500
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UID:submissions.supercomputing.org_SC24_sess586_bof236@linklings.com
SUMMARY:Converged HPC and Cloud Computing in the Era of Generative AI
DESCRIPTION:Daniel Milroy (Lawrence Livermore National Laboratory (LLNL));
  Rosa M. Badia (Barcelona Supercomputing Center (BSC)); Ewa Deelman (USC I
 nformation Sciences Institute); Todd Gamblin (Lawrence Livermore National 
 Laboratory (LLNL)); Andrew Jones (Microsoft Corporation); Bill Magro (Goog
 le); Seetharami Seelam (IBM TJ Watson Research Center); and Michela Taufer
  (University of Tennessee, University of Delaware)\n\nCloud computing tech
 nologies such as elastic scaling, application containerization and orchest
 ration are gaining prevalence in HPC due to their benefits of resource dyn
 amism, automation, reproducibility, and resilience. Similarly, HPC technol
 ogies are being integrated into cloud infrastructures to enable traditiona
 l HPC workloads and emerging GenAI workloads which have HPC characteristic
 s. This trend is leading to converged computing, an environment that combi
 nes the best capabilities from both worlds. In this highly interactive BoF
 , we invite the broader computing community to discuss its experiences wit
 h converged computing and share its views on the future, considering the a
 stronomical growth of GenAI and resource contention.\n\nRegistration Categ
 ory: Tech Program Reg Pass, Exhibits Reg Pass\n\n
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