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DTSTAMP:20230124T171521Z
LOCATION:C141
DTSTART;TZID=America/Chicago:20221114T094000
DTEND;TZID=America/Chicago:20221114T095000
UID:submissions.supercomputing.org_SC22_sess437_ws_scc108@linklings.com
SUMMARY:Software Resource Disaggregation for HPC with Serverless Computing
DESCRIPTION:Workshop\n\nSoftware Resource Disaggregation for HPC with Serv
 erless Computing\n\nCopik, Chrapek, Calotoiu, Hoefler\n\nThe aggregated HP
 C resources with rigid allocation systems and programming models struggle 
 to adapt to diverse and changing workloads. Thus, HPC systems fail to effi
 ciently use the large pools of unused memory and increase the utilization 
 of idle computing resources. Prior work attempted to increase the throughp
 ut and efficiency of supercomputing systems through workload co-location a
 nd resource disaggregation. However, these methods fail to provide a solut
 ion that can be applied to existing systems without major hardware modific
 ations and performance losses. In this presentation, we propose to use the
  new cloud paradigm of serverless computing to improve the utilization of 
 supercomputers. We show that the FaaS programming model can satisfy the re
 quirements of high-performance applications. We demonstrate a software res
 ource disaggregation approach where the co-location of functions allows to
  utilize idle cores and accelerators while retaining near-native performan
 ce.\n\nSession Format: Recorded\n\nRegistration Category: Workshop Reg Pas
 s
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