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DTSTART;TZID=America/Denver:20231112T093500
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UID:submissions.supercomputing.org_SC23_sess419_ws_prot105@linklings.com
SUMMARY:Enabling Agile Analysis of I/O Performance Data with PyDarshan
DESCRIPTION:Workshop\n\nJakob Luettgau (French Institute for Research in C
 omputer Science and Automation (INRIA)); Shane Snyder (Argonne National La
 boratory (ANL)); Tyler Reddy and Nikolaus Awtrey (Los Alamos National Labo
 ratory (LANL)); Kevin Harms (Argonne National Laboratory (ANL)); Jean Bez 
 (Lawrence Berkeley National Laboratory (LBNL)); and Rui Wang, Rob Latham, 
 and Philip Carns (Argonne National Laboratory (ANL))\n\nModern scientific 
 applications utilize numerous software and hardware layers to efficiently 
 access data. This approach poses a challenge for I/O optimization because 
 of the need to instrument and correlate information across those layers. T
 he Darshan characterization tool seeks to address this challenge by provid
 ing efficient, transparent, and compact runtime instrumentation of many co
 mmon I/O interfaces. It also includes command-line tools to generate actio
 nable insights and summary reports.  However, the extreme diversity of tod
 ay's scientific applications means that not all applications are well serv
 ed by one-size-fits-all analysis tools.  \n\nIn this work, we present PyDa
 rshan, a Python-based library that enables agile analysis of I/O performan
 ce data.  PyDarshan caters to both novice and advanced users by offering r
 eady-to-use HTML reports as well as a rich collection of APIs to facilitat
 e custom analyses.  We present the design of PyDarshan and demonstrate its
  effectiveness in four diverse real-world analysis use cases.\n\nTag: Perf
 ormance Measurement, Modeling, and Tools, Programming Frameworks and Syste
 m Software\n\nRegistration Category: Workshop Reg Pass\n\nSession Chairs: 
 David Boehme (Lawrence Livermore National Laboratory (LLNL)); Anthony Dana
 lis (University of Tennessee); and Josef Weidendorfer (Leibniz Supercomput
 ing Centre, Technical University of Munich)
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