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DTSTART:19700308T020000
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DTSTAMP:20260522T150118Z
LOCATION:D161
DTSTART;TZID=America/Chicago:20181112T111000
DTEND;TZID=America/Chicago:20181112T113000
UID:submissions.supercomputing.org_SC18_sess158_ws_lasalss112@linklings.co
 m
SUMMARY:Event-Triggered Communication in Parallel Computing
DESCRIPTION:Soumyadip Ghosh, Kamal Saha, and Vijay Gupta (University of No
 tre Dame) and Gretar Tryggvason (Johns Hopkins University)\n\nCommunicatio
 n overhead in parallel systems can be a significant bottleneck in scaling 
 up parallel computation. In this paper, we propose event-triggered communi
 cation methods to reduce such communication overhead for numerical simulat
 ion of partial differential equations. As opposed to traditional communica
 tion in which processing elements exchange data at every iteration of the 
 numerical algorithm, the main idea behind event-triggered communication is
  to exchange data only\nwhen necessary as dictated by a suitably defined e
 vent. We show through numerical experiments that these methods have potent
 ial to reduce simulation time. Strong scaling plots show that the approach
  may be effective on large machines as well.\n\nTag: Algorithms, Heterogen
 eous Systems, Resiliency\n\nRegistration Category: Workshop Reg Pass\n\nSe
 ssion Chairs: Vassil Alexandrov (Hartree Centre, STFC); Jack Dongarra (Uni
 versity of Tennessee, Knoxville; Oak Ridge National Laboratory (ORNL)); Ch
 ristian Engelmann (Oak Ridge National Laboratory (ORNL)); and Al Geist (Oa
 k Ridge National Laboratory (ORNL))\n\n
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