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DTSTAMP:20260422T000713Z
LOCATION:607
DTSTART;TZID=America/Denver:20231116T121500
DTEND;TZID=America/Denver:20231116T131500
UID:submissions.supercomputing.org_SC23_sess394_bof142@linklings.com
SUMMARY:Operational Data Analytics
DESCRIPTION:Rachel Palumbo (Oak Ridge National Laboratory (ORNL)); Kadidia
  Konaté and Melissa Romanus (Lawrence Berkeley National Laboratory (LBNL))
 ; Norm Bourassa (Lawrence Berkeley National Laboratory (LBNL), Energy Effi
 cient HPC Working Group); Jim Brandt (Sandia National Laboratories); Jeff 
 Hanson (Hewlett Packard Enterprise (HPE)); Tim Osborne (Oak Ridge National
  Laboratory (ORNL)); Michael Ott (Leibniz Supercomputing Centre, Energy Ef
 ficient HPC Working Group); Ben Schwaller (Sandia National Laboratories); 
 Woong Shin (Oak Ridge National Laboratory (ORNL)); Kathleen Shoga (Lawrenc
 e Livermore National Laboratory (LLNL)); and Keiji Yamamoto (RIKEN)\n\nOpe
 rational Data Analytics (ODA) provides unique opportunities to analyze, un
 derstand, and optimize operations of HPC systems. Readily available open-s
 ource frameworks make the collection of monitoring data from different dom
 ains of the HPC system increasingly easy. However, making the data work fo
 r HPC operations is not straight-forward and effort being duplicated at ma
 ny HPC sites to develop methods and tools to analyze the data and leverage
  it for operations. There is a clear demand to collaborate on this within 
 the community but as standards in terms of semantics and naming of monitor
 ing data are currently missing, such collaboration is severely hampered.\n
 \nTag: Energy Efficiency, State of the Practice, Sustainability\n\nRegistr
 ation Category: Tech Program Reg Pass, Exhibits Reg Pass\n\n
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