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DTSTART;TZID=America/Denver:20231115T100000
DTEND;TZID=America/Denver:20231115T170000
UID:submissions.supercomputing.org_SC23_sess303_rpost149@linklings.com
SUMMARY:Automating HPC Model Selection on Edge Devices
DESCRIPTION:Abrar Hossain and Kishwar Ahmed (University of Toledo)\n\nThe 
 increasing demand for processing power on resource-constrained edge device
 s necessitate efficient techniques for optimizing High Performance Computi
 ng (HPC) applications. We propose HPEE (HPC Parameter Exploration on Edge)
 , a novel approach that formulates the parameter search space problem as a
  pure exploration multi-armed bandit (MAB) technique. By efficiently explo
 ring the search space using the MAB framework, we achieve significant perf
 ormance improvements, while respecting the limited computational resources
  of edge devices. Experimental results, based on HPC application, demonstr
 ate the effectiveness of our approach in optimizing parameter search on ed
 ge devices, offering a promising solution for enhancing HPC performance in
  resource-constrained environments.\n\nTag: Artificial Intelligence/Machin
 e Learning, Architecture and Networks, Heterogeneous Computing, I/O and Fi
 le Systems, Performance Measurement, Modeling, and Tools, Post-Moore Compu
 ting, Programming Frameworks and System Software, Quantum Computing\n\nReg
 istration Category: Tech Program Reg Pass, Exhibits Reg Pass\n\n
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