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UID:submissions.supercomputing.org_SC24_sess739_ws_ss113@linklings.com
SUMMARY:Navigating Exascale Operational Data Analytics: From Inundation to
  Insight
DESCRIPTION:Woong Shin, Tim Osborne, Ahmad Maroof Karimi, Rachel Palumbo, 
 Alex May, Corwin Lester, Jesse Hines, Naw Safrin Sattar, Leah Huk, Scott S
 immerman, Wesley Brewer, Jeffrey Miller, Ryan Adamson, Olga Kuchar, Ryan P
 rout, Feiyi Wang, Scott Atchley, and Sarp Oral (Oak Ridge National Laborat
 ory (ORNL))\n\nIn this paper, we address the challenges in achieving susta
 inable data-driven efficiency by providing a detailed exploration of the e
 nd-to-end operational data analytics (ODA) framework that evolved through 
 two generations of supercomputer systems at the Oak Ridge Leadership Compu
 ting Facility (OLCF). This framework addresses large data streams ingested
  from heavily instrumented HPC environment that accumulates multi-terabyte
 s per day. We outline the multifaceted data life cycle across HPC procurem
 ent, operations, and research & development, identifying key obstacles and
  design decisions that shape effective strategies in building and supporti
 ng data pipelines end-to-end.\nBy sharing key insights and lessons learned
  from our experience, we offer recommendations for the HPC community on en
 abling sustainable operational data analytics and beyond.\nOur contributio
 ns aim to bridge the gap between potential and real benefits of operationa
 l data, guiding future efforts towards integrated and sustainable operatio
 nal intelligence in high-performance computing environments.\n\nTag: Energ
 y Efficiency, HPC Infrastructure, Sustainability\n\nRegistration Category:
  Workshop Reg Pass\n\nSession Chairs: Cate Berard (US Department of Energy
 ); James H. Rogers (Oak Ridge National Laboratory (ORNL)); Fumiyoshi Shoji
  (RIKEN Center for Computational Science (R-CCS), Center for Computational
  Science); Michèle Weiland (EPCC, The University of Edinburgh; The Univers
 ity of Edinburgh); and Mike Woodacre (Hewlett Packard Enterprise (HPE))\n\
 n
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