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DTSTAMP:20211207T055412Z
LOCATION:Online
DTSTART;TZID=America/Chicago:20211114T120000
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UID:submissions.supercomputing.org_SC21_sess327_ws_hipar107@linklings.com
SUMMARY:Did the GPU Obfuscate the Load Imbalance in My MPI Simulation?
DESCRIPTION:Workshop\n\nDid the GPU Obfuscate the Load Imbalance in My MPI
  Simulation?\n\nEberius, Boehme, Pearce\n\nThe current proliferation of GP
 U-based HPC systems necessitates a method for assessing the performance of
  simulations on heterogeneous machines.  The addition of GPUs to a system 
 adds multiple hierarchical levels of parallelism to the node architecture.
   In this paper, we demonstrate that the traditional load imbalance metric
  is insufficient for capturing the load imbalance on GPU-based machines, s
 ince it treats the GPU as a monolithic entity and ignores the internal par
 allelism.  We propose a new hierarchical metric that improves the correlat
 ion of measured performance and application workload by up to 20.61%.  Usi
 ng our metric for determining application load instead of the traditional 
 metric as the input for the load balancing algorithm reduces the residual 
 load imbalance by up to 4x in our application.\n\nTag: Online Only, Algori
 thms, Architectures, Extreme Scale Computing, Heterogeneous Systems, Memor
 y Systems, Parallel Programming Languages and Models, Resource Management 
 and Scheduling\n\nRegistration Category: Workshop Reg Pass
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