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UID:submissions.supercomputing.org_SC23_sess411_bof108@linklings.com
SUMMARY:Analyzing Parallel I/O
DESCRIPTION:Hendrik Nolte (GWDG, Germany); Shane Snyder (Argonne National 
 Laboratory (ANL)); Julian Kunkel (University of Göttingen; GWDG, Germany);
  Sven Breuner (VAST Data Inc); Andre Brinkman (Johannes Gutenberg Universi
 ty Mainz); and Radita Liem (RWTH Aachen University)\n\nParallel I/O perfor
 mance can be a critical bottleneck for applications, yet users often need 
 to be equipped for identifying and diagnosing I/O performance issues. Incr
 easingly complex hierarchies of storage hardware and software deployed on 
 many systems only compound this problem. Tools that can effectively captur
 e, analyze, and tune I/O behavior for these systems empower users to reali
 ze performance gains for many applications.\n\nIn this BoF, we form a comm
 unity around best practices in analyzing parallel I/O and cover recent adv
 ances to help address the above-mentioned problem, drawing on the expertis
 e of users, I/O researchers, and administrators in attendance.\n\nTag: Dat
 a Analysis, Visualization, and Storage\n\nRegistration Category: Tech Prog
 ram Reg Pass, Exhibits Reg Pass\n\n
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