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UID:submissions.supercomputing.org_SC24_sess668_bof125@linklings.com
SUMMARY:Operational Data Analytics
DESCRIPTION:Melissa Romanus (National Energy Research Scientific Computing
  Center (NERSC), Lawrence Berkeley National Laboratory (LBNL)); Ayse Cosku
 n (Boston University); Ben Schwaller (Sandia National Laboratories); Efe Ş
 encan (Boston University); Jeff Hanson (Hewlett Packard Enterprise (HPE));
  Kathleen Shoga (Lawrence Livermore National Laboratory (LLNL)); Michael O
 tt (Leibniz Supercomputing Centre (LRZ), Energy Efficient HPC Working Grou
 p); and Tim Osborne and Woong Shin (Oak Ridge National Laboratory (ORNL))\
 n\nOperational data analytics (ODA) provides unique opportunities to analy
 ze, understand, and optimize operations of HPC systems. Readily available 
 open-source frameworks make the collection of monitoring data from differe
 nt domains of the HPC system increasingly easy. However, making the data w
 ork for HPC operations is not straightforward and HPC sites are duplicatin
 g efforts to develop methods and tools to analyze and leverage the data. A
 I-based analysis methods are appealing, but certainly not the only option.
  This BoF aims to bring together practitioners in HPC operations to share 
 use cases for ODA, discuss problems and provide feedback.\n\nRegistration 
 Category: Tech Program Reg Pass, Exhibits Reg Pass\n\n
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