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DTSTAMP:20210402T160030Z
LOCATION:Track 8
DTSTART;TZID=America/New_York:20201118T160200
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UID:submissions.supercomputing.org_SC20_sess355_spostu103@linklings.com
SUMMARY:Enabling Graph-Based Profiling Analysis Using Hatchet
DESCRIPTION:ACM Student Research Competition: Graduate Poster, ACM Student
  Research Competition: Undergraduate Poster\n\nEnabling Graph-Based Profil
 ing Analysis Using Hatchet\n\nLumsden\n\nWe augment the Hatchet performanc
 e data analysis tool to leverage relational caller-callee data in the anal
 ysis of HPC applications. Specifically, we design a query language that en
 ables data reduction using graph path pattern matching. We demonstrate the
  capabilities of our augmented Hatchet by examining the performance of MPI
  calls in three High Performance Computing (HPC) benchmarks when using MVA
 PICH and Spectrum-MPI. In doing so, we can identify hidden performance los
 ses in specific MPI functions.\n\nTag: Student Program\n\nRegistration Cat
 egory: Tech Program Reg Pass
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