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Research on SPH parallel acceleration strategies for multi-GPU platform

  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper proposes an acceleration strategy for SPH on single-node multi-GPU platform. First the acceleration strategy for SPH on single-GPU is studied in conjunction with the characteristics of architecture. Then the changing pattern of SPH's computation time has been discussed. Based on the fact that the changing pattern is rather slow, using a simple dynamic load balancing algorithm an acceptable load balance is obtained on multi-GPU. Finally, an almost linear speedup is achieved on multi-GPU by further optimizing dynamic load balancing algorithm and communication strategy among multiple GPUs.

Original languageEnglish
Title of host publicationAdvanced Parallel Processing Technologies - 10th International Symposium, APPT 2013, Revised Selected Papers
Pages104-118
Number of pages15
DOIs
StatePublished - 2013
Event10th International Symposium on Advanced Parallel Processing Technologies, APPT 2013 - Stockholm, Sweden
Duration: 27 Aug 201328 Aug 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8299 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Symposium on Advanced Parallel Processing Technologies, APPT 2013
Country/TerritorySweden
CityStockholm
Period27/08/1328/08/13

Keywords

  • SPH
  • communication optimization
  • dynamic load balancing
  • multi-GPU

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