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DTSTART;TZID=America/Denver:20231112T161100
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UID:submissions.supercomputing.org_SC23_sess435_ws_pdsw109@linklings.com
SUMMARY:The I/O Trace Initiative:  Building a Collaborative I/O Archive to
  Advance HPC
DESCRIPTION:Nafiseh Moti, André Brinkmann, and Marc-André Vef (Johannes Gu
 tenberg University Mainz); Philippe Deniel (CEA); Jesus Carretero (Univers
 idad Carlos III de Madrid); Philip Carns (Argonne National Laboratory (ANL
 )); Jean-Thomas Acquaviva (DataDirect Networks (DDN)); and Reza Salkhordeh
  (Johannes Gutenberg University Mainz)\n\nHPC application developers and a
 dministrators need to understand the complex interplay between compute clu
 sters and storage systems to make effective optimization decisions. Ad hoc
  investigations of this interplay based on isolated case studies can lead 
 to conclusions that are incorrect or difficult to generalize. The I/O Trac
 e Initiative aims to improve the scientific community's understanding of I
 /O operations by building and making available a searchable collaborative 
 archive of I/O traces from a wide range of applications and machines, with
  a focus on high performance computing and scalable AI/ML. This initiative
  advances the accessibility of I/O trace data by enabling users to locate 
 and compare traces based on user-specified criteria. It also provides a vi
 sual analytics platform for in-depth analysis, paving the way for the deve
 lopment of advanced performance optimization techniques. By acting as a hu
 b for trace data, the initiative fosters collaborative research by encoura
 ging data sharing and collective learning.\n\nTag: Data Analysis, Visualiz
 ation, and Storage, Data Movement and Memory\n\nRegistration Category: Wor
 kshop Reg Pass\n\nSession Chairs: Suren Byna (The Ohio State University, L
 awrence Berkeley National Laboratory (LBNL)); Jay Lofstead (Sandia Nationa
 l Laboratories, University of New Mexico); Bing Xie (Microsoft Corporation
 ); and Amelie Chi Zhou (Hong Kong Baptist University)\n\n
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