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DTSTART;TZID=America/Denver:20231113T163000
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UID:submissions.supercomputing.org_SC23_sess447_ws_pmbsf126@linklings.com
SUMMARY:Evaluating the Potential of Elastic Jobs in HPC Systems
DESCRIPTION:Workshop\n\nDavid Eberius, Md. Wasi-ur- Rahman, and David Ozog
  (Intel Corporation)\n\nIt is generally assumed that elastic parallel appl
 ications, with the ability to dynamically resize their process count, woul
 d provide numerous benefits to High-Performance Computing (HPC) systems an
 d applications.  Supporting this capability, however, requires significant
  effort at several layers of the HPC software stack.  At a minimum, the re
 source management system, the distributed communication libraries, and the
  distributed applications themselves would have to explicitly support elas
 ticity.  With this level of widespread support required, there must be sig
 nificant motivation for developers to commit to adding this capability.  W
 e aim to determine whether there are practical benefits to supporting elas
 ticity by simulating HPC systems with support for elastic jobs using real-
 world job data.  Our simulations show significant improvements of adding e
 lastic jobs with up to 35.34% higher system utilization, 75.3% lower runti
 me, 99.76% lower wait time, and 75.22% lower total turnaround time.\n\nTag
 : Modeling and Simulation, Performance Measurement, Modeling, and Tools\n\
 nRegistration Category: Workshop Reg Pass\n\nSession Chairs: Simon Hammond
  (National Nuclear Security Administration (NNSA)); Stephen Jarvis (Univer
 sity of Birmingham, UK); and Steven A. Wright (University of York, England
 )
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