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DTSTAMP:20260522T150115Z
LOCATION:D168
DTSTART;TZID=America/Chicago:20181116T110000
DTEND;TZID=America/Chicago:20181116T111500
UID:submissions.supercomputing.org_SC18_sess144_ws_pawatm106@linklings.com
SUMMARY:Semi-Static and Dynamic Load Balancing for Asynchronous Hurricane 
 Storm Surge Simulations
DESCRIPTION:Maximilian H. Bremer (University of Texas at Austin) and John 
 D. Bachan and Cy P. Chan (Lawrence Berkeley National Laboratory)\n\nThe pe
 rformance of hurricane storm surge simulations is critical to forecast and
  mitigate the deadly effects of hurricane landfall. Supercomputers play a 
 key role to run these simulations quickly; however, disruptive changes in 
 future computer architectures will require adapting simulators to maintain
  high performance, such as increasing asynchrony and improving load balanc
 e.\n\nWe introduce two new multi-constraint, fully asynchronous load balan
 cers and a new discrete-event simulator (DGSim) that is able to natively m
 odel the execution of task-based hurricane simulations based on efficient 
 one-sided, active message-based communication protocols.  We calibrate and
  validate DGSim using it to compare the algorithms' load balancing capabil
 ities and task migration costs under many parameterizations, saving over 5
 ,000x core-hours compared to running the application code directly.  Our l
 oad balancing algorithms achieve a performance improvement of up to 56 per
 cent over the original static balancer and up to 97 percent of the optimal
  speed-up.\n\nTag: Parallel Programming Languages, Libraries, and Models, 
 Productivity\n\nRegistration Category: Workshop Reg Pass\n\n
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