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Shared memory pipelined parareal
Publikationstyp
Journal Article
Date Issued
2017
Sprache
English
Author(s)
TORE-URI
Start Page
669
End Page
681
Citation
Euro-Par 2017: parallel processing : 23rd International Conference on Parallel and Distributed Computing, Santiago de Compostela, Spain, August 28 – September 1, 2017 : proceedings / Francisco F. Rivera, Tomás F. Pena, José C. Cabaleiro (eds.). - Cham : Springer, 2017. - (Lecture notes in computer science ; 10417). - Seite 669-681
Contribution to Conference
Publisher DOI
Scopus ID
Publisher
Springer
For the parallel-in-time integration method Parareal, pipelining can be used to hide some of the cost of the serial correction step and improve its efficiency. The paper introduces a basic OpenMP implementation of pipelined Parareal and compares it to a standard MPI-based variant. Both versions yield almost identical runtimes, but, depending on the compiler, the OpenMP variant consumes about 7% less energy and has a significantly smaller memory footprint. However, its higher implementation complexity might make it difficult to use in legacy codes and in combination with spatial parallelisation.
Subjects
OpenMP
Parallel-in-time integration
Parareal
Pipelining
DDC Class
510: Mathematik