Communication-efficient algorithms for solving pressure Poisson equation for multiphase flows using parallel computers

Numerical solution of partial differential equations on parallel computers using domain decomposition usually requires synchronization and communication among the processors. These operations often have a significant overhead in terms of time and energy. In this paper, we propose communication-effic...

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Veröffentlicht in:PloS one Jg. 17; H. 11; S. e0277940
Hauptverfasser: Ghosh, Soumyadip, Lu, Jiacai, Gupta, Vijay, Tryggvason, Gretar
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States Public Library of Science 22.11.2022
Public Library of Science (PLoS)
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ISSN:1932-6203, 1932-6203
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Zusammenfassung:Numerical solution of partial differential equations on parallel computers using domain decomposition usually requires synchronization and communication among the processors. These operations often have a significant overhead in terms of time and energy. In this paper, we propose communication-efficient parallel algorithms for solving partial differential equations that alleviate this overhead. First, we describe an asynchronous algorithm that removes the requirement of synchronization and checks for termination in a distributed fashion while maintaining the provision to restart iterations if necessary. Then, we build on the asynchronous algorithm to propose an event-triggered communication algorithm that communicates the boundary values to neighboring processors only at certain iterations, thereby reducing the number of messages while maintaining similar accuracy of solution. We demonstrate our algorithms on a successive over-relaxation solver for the pressure Poisson equation arising from variable density incompressible multiphase flows in 3-D and show that our algorithms improve time and energy efficiency.
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Competing Interests: The authors have declared that no competing interests exist.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0277940