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DTSTAMP:20230124T171521Z
LOCATION:C155
DTSTART;TZID=America/Chicago:20221114T160000
DTEND;TZID=America/Chicago:20221114T163000
UID:submissions.supercomputing.org_SC22_sess453_ws_pmbsf102@linklings.com
SUMMARY:WfBench: Automated Generation of Scientific Workflow Benchmarks
DESCRIPTION:Workshop\n\nWfBench: Automated Generation of Scientific Workfl
 ow Benchmarks\n\nColeman, Casanova, Maheshwari, Pottier, Wilkinson...\n\nT
 he prevalence of scientific workflows with high computational demands call
 s for their execution on various distributed computing platforms, includin
 g large-scale leadership-class HPC clusters. To handle deployment, monitor
 ing, and optimization of workflow executions, many workflow systems have b
 een developed over the past decade, creating a need for workflow benchmark
 s to evaluate the performance of these WMSs on current and future software
  stacks and hardware platforms.\n\nWe present a generator of realistic wor
 kflow benchmark specifications that can be translated into benchmark code 
 and executed with current workflow systems. Our approach generates workflo
 w tasks with arbitrary performance characteristics (CPU, memory, and I/O u
 sage) and with realistic task dependency structures based on those seen in
  production workflows. Our experimental results show that our approach gen
 erates benchmarks representative of production workflows and conducts a ca
 se study to demonstrate the use/usefulness of our generated benchmarks to 
 evaluate the performance of workflow systems under different configuration
  scenarios.\n\nSession Format: Recorded\n\nTag: Applications, Architecture
 s, Benchmarking, Exascale Computing, Modeling and Simulation, Performance,
  Performance Portability\n\nRegistration Category: Workshop Reg Pass
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