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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:Workshop\n\nWoong Shin, Tim Osborne, Ahmad Maroof Karimi, Rach
 el Palumbo, Alex May, Corwin Lester, Jesse Hines, Naw Safrin Sattar, Leah 
 Huk, Scott Simmerman, Wesley Brewer, Jeffrey Miller, Ryan Adamson, Olga Ku
 char, Ryan Prout, Feiyi Wang, Scott Atchley, and Sarp Oral (Oak Ridge Nati
 onal Laboratory (ORNL))\n\nIn this paper, we address the challenges in ach
 ieving sustainable data-driven efficiency by providing a detailed explorat
 ion of the end-to-end operational data analytics (ODA) framework that evol
 ved through two generations of supercomputer systems at the Oak Ridge Lead
 ership Computing Facility (OLCF). This framework addresses large data stre
 ams ingested from heavily instrumented HPC environment that accumulates mu
 lti-terabytes per day. We outline the multifaceted data life cycle across 
 HPC procurement, operations, and research & development, identifying key o
 bstacles and design decisions that shape effective strategies in building 
 and supporting data pipelines end-to-end.\nBy sharing key insights and les
 sons learned from our experience, we offer recommendations for the HPC com
 munity on enabling sustainable operational data analytics and beyond.\nOur
  contributions aim to bridge the gap between potential and real benefits o
 f operational data, guiding future efforts towards integrated and sustaina
 ble operational intelligence in high-performance computing environments.\n
 \nTag: Energy Efficiency, HPC Infrastructure, Sustainability\n\nRegistrati
 on Category: Workshop Reg Pass\n\nSession Chairs: Cate Berard (US Departme
 nt of Energy); James H. Rogers (Oak Ridge National Laboratory (ORNL)); Fum
 iyoshi Shoji (RIKEN, Center for Computational Science); Michèle Weiland (E
 PCC, The University of Edinburgh; The University of Edinburgh); and Mike W
 oodacre (Hewlett Packard Enterprise (HPE))
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