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UID:submissions.supercomputing.org_SC24_sess732_ws_canopie108@linklings.co
 m
SUMMARY:Enabling HPC Scientific Workflows for Serverless
DESCRIPTION:Anderson Andrei Da Silva, Rolando Pablo Hong Enriquez, Gourav 
 Rattihalli, and Vijay Thurimella (Hewlett Packard Labs); Rafael Ferreira D
 a Silva (Oak Ridge National Laboratory (ORNL)); and Dejan Milojicic (Hewle
 tt Packard Labs)\n\nThe convergence of edge computing, big data analytics,
  and AI with traditional scientific calculations is increasingly being ado
 pted in HPC workflows. Workflow management systems are crucial for managin
 g and orchestrating these complex computational tasks. However, it is diff
 icult to identify patterns within the growing population of HPC workflows.
  Serverless has emerged as a novel computing paradigm, offering dynamic re
 source allocation, quick response time, fine-grained resource management a
 nd auto-scaling. \n\nIn this paper, we propose a framework to enable HPC s
 cientific workflows on serverless. Our approach integrates a widely used t
 raditional HPC workflow generator with an HPC serverless workflow manageme
 nt system to create benchmark suites of scientific workflows with diverse 
 characteristics. These workflows can be executed on different serverless p
 latforms. We comprehensively compare executing workflows on traditional lo
 cal containers and serverless computing platforms. Our results show that s
 erverless can reduce CPU and memory usage by 78.11% and 73.92%, respective
 ly, without compromising performance.\n\nTag: Cloud Computing, Middleware 
 and System Software, State of the Practice\n\nRegistration Category: Works
 hop Reg Pass\n\nSession Chairs: Richard Shane Canon (Lawrence Berkeley Nat
 ional Laboratory (LBNL)); Alberto Madonna (ETH Zürich, Swiss National Supe
 rcomputing Centre (CSCS)); Claudia Misale (CoreWeave, Inc.); and Andrew Yo
 unge (Sandia National Laboratories)\n\n
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