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DTSTAMP:20210402T160553Z
LOCATION:Track 10
DTSTART;TZID=America/New_York:20201111T143500
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UID:submissions.supercomputing.org_SC20_sess205_pec194@linklings.com
SUMMARY:Reproducible Scientific Computing: Progress and Challenges
DESCRIPTION:Workshop\n\nReproducible Scientific Computing: Progress and Ch
 allenges\n\nBailey\n\nThe field of high-performance computing has long bee
 n plagued by reproducibility problems. In the early 1990s, lax standards f
 or reporting performance led to considerable confusion and some loss of cr
 edibility for the field. Even today, the HPC field significantly lags othe
 r fields of scientific research in establishing standards for reproducible
  research, even for such basic practices as thoroughly documenting compute
 r runs with algorithm statements, source code, system environment and othe
 r key details. Recently the issue of numerical reproducibility has risen t
 o the fore, spurred both by the rapidly increasing scope and sophisticatio
 n of large applications, which greatly magnify numerical sensitivities and
  precision requirements, as well as increased interest in machine learning
  and artificial intelligence, which has driven usage of half-precision and
  other forms of reduced-precision computing. This talk will briefly summar
 ize current work in the field and outline challenges that lie ahead.\n\nTa
 g: Correctness, Floating Point, Reproducibility and Transparency, Software
  Engineering\n\nRegistration Category: Workshop Reg Pass
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