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DTSTAMP:20260422T000712Z
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DTSTART;TZID=America/Denver:20231114T171500
DTEND;TZID=America/Denver:20231114T184500
UID:submissions.supercomputing.org_SC23_sess370_bof132@linklings.com
SUMMARY:Go with the (Energy) Flow:  Adaptive Capacity Computing
DESCRIPTION:Felix Wolf (Technical University of Darmstadt); Hans-Christian
  Hoppe (Forschungszentrum Jülich); Andrew Chien (University of Chicago, Ar
 gonne National Laboratory (ANL)); Michael Ott (Leibniz Supercomputing Cent
 re); and Ana Radovanovic and Utkarsh Shah (Google LLC)\n\nThe increasing r
 eliance on inherently variable Green energy is poised to impact HPC center
 s fundamentally: they cannot count on a guaranteed supply of grid power, y
 et could play a significant role in stabilizing the Grid by quickly adapti
 ng their load. \n\n“Adaptive Capacity Computing” touches on system archite
 cture, hardware, scheduling and resource management, programming models, a
 nd applications with the objective of enabling future HPC centers to react
  gracefully to varying power profiles, achieving optimal throughput and av
 oiding loss of computational state wherever possible.\n\nThis BoF discusse
 s challenges and approaches to support this paradigm, should it become nec
 essary to do so.\n\nTag: Middleware and System Software\n\nRegistration Ca
 tegory: Tech Program Reg Pass, Exhibits Reg Pass\n\n
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