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UID:submissions.supercomputing.org_SC24_sess533_post193@linklings.com
SUMMARY:Generalizing ExaDigiT Datacenter Digital Twin Framework for Multip
 le Architectures
DESCRIPTION:Sedrick Bouknight and Matthias Maiterth (Oak Ridge National La
 boratory (ORNL)); Tim Dykes (Hewlett Packard Enterprise (HPE)); Rashadul K
 abir (Colorado State University); and Vineet Kumar, Scott Greenwood, Jesse
  Hines, Wes Brewer, and Feiyi Wang (Oak Ridge National Laboratory (ORNL))\
 n\nExaDigiT is an open-source framework for developing comprehensive digit
 al twins (DTs) of liquid-cooled supercomputers. DTs merge telemetry, simul
 ations, and AI/ML/RL to create a complete virtual representation of a syst
 em. This provides an effective tool for testing a variety of system optimi
 zations, determining the impact and outcomes of hypothetical “what-if” sce
 narios, and creating virtual prototypes of future systems with performance
  and cost insights. Our framework consists of three primary modules includ
 ing (1) a resource allocator and power simulator, (2) a thermofluidic cool
 ing model, and (3) an augmented reality model of a supercomputing cluster 
 and its cooling plant. ExaDigiT can predict the power and energy losses of
  synthetic and real workloads, simulate complex transient dynamics to prov
 ide accurate cooling predictions, and provide an interactive means of anal
 yzing relevant data. ExaDigiT is released under Apache and MIT licenses.\n
 \nRegistration Category: Tech Program Reg Pass, Exhibits Reg Pass\n\nSessi
 on Chairs: Ayesha Afzal (Friedrich-Alexander University, Erlangen-Nurember
 g; Erlangen National High Performance Computing Center); Sally Ellingson (
 University of Kentucky); and Alan Sussman (University of Maryland)\n\n
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