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Pipeline Schwarz Waveform Relaxation

  • Benjamin Ong
  • Scott High
  • Felix Kwok
Part of the Lecture Notes in Computational Science and Engineering book series (LNCSE, volume 104)

Abstract

To leverage the computational capability of modern supercomputers, existing algorithms need to be reformulated in a manner that allows for many concurrent operations. In this paper, we outline a framework that reformulates classical Schwarz waveform relaxation so that successive waveform iterates can be computed in a parallel pipeline fashion after an initial start-up cost. The communication costs for various implementations are discussed, and numerical scaling results are presented.

Keywords

Transmission Condition Waveform Relaxation Pipeline Fashion Pipeline Parallelism Euler Time Integrator 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgement

This work was supported in part by Michigan State University through computational resources provided by the Institute for Cyber-Enabled Research and AFOSR Grant FA9550-12-1-0455. This work also used the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by National Science Foundation grant number OCI-1053575.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Michigan Technological UniversityHoughtonUSA
  2. 2.University of Illinois at Urbana-ChampaignUrbanaUSA
  3. 3.Hong Kong Baptist UniversityKowloon TongHong Kong

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