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DTSTART:19700308T020000
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DTSTAMP:20260522T150122Z
LOCATION:C140/142
DTSTART;TZID=America/Chicago:20181114T113000
DTEND;TZID=America/Chicago:20181114T120000
UID:submissions.supercomputing.org_SC18_sess188_pap537@linklings.com
SUMMARY:Characterization of MPI Usage on a Production Supercomputer
DESCRIPTION:Sudheer Chunduri, Scott Parker, Pavan Balaji, Kevin Harms, and
  Kalyan Kumaran (Argonne National Laboratory)\n\nMPI is the most prominent
  programming model used in scientific computing today.  Despite it's impor
 tance, however, how scientific applications use it in production is not ve
 ry well understood due to the lack of low overhead profiling tools.   We u
 sed a lightweight profiling tool, called autoperf, to log the MPI usage ch
 aracteristics of production applications on a large supercomputing system 
 (Mira) and its corresponding development system (Cetus).  Autoperf limits 
 the amount of information that it records in order to keep the overhead to
  a minimum while still storing enough data to derive useful insights.  MPI
  usage statistics have been collected for over 100K jobs that were run wit
 hin a 2-year period and are analyzed.  The analysis of this data is intend
 ed as a mechanism to provide useful insights for MPI developers and networ
 k hardware developers for their next generation of improvements, and for s
 upercomputing center operators for their next system procurements.\n\nTag:
  Architectures, MPI, Networks, Performance, Programming Systems, State of 
 the Practice\n\nRegistration Category: Tech Program Reg Pass\n\nFinalist: 
 BSP Finalist\n\nSession Chair: Sriram Krishnamoorthy (Google LLC)\n\n
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