Accelerating solutions of one-dimensional unsteady PDEs with GPU-based swept time–space decomposition

•A GPU implementation of the swept time–space decomposition rule is presented.•Three versions of the scheme are considered.•The shared-memory implementation outperforms the other versions.•The best swept scheme outperforms the classic method by 2–9 times. The expedient design of precision components...

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Vydáno v:	Journal of computational physics Ročník 357; s. 338 - 352
Hlavní autoři:	Magee, Daniel J., Niemeyer, Kyle E.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Cambridge Elsevier Inc 15.03.2018 Elsevier Science Ltd
Témata:	Aerospace engineering Aerospace industry Aircraft components Communication Communication-avoiding algorithms Computational fluid dynamics Computational physics Computer simulation Decomposition Domain decomposition Exhausting Finite difference method GPU computing High-performance computing Influence Memory Parallel processing Partial differential equations Solvers Studies Partial differential equations Computational fluid dynamics High-performance computing Communication-avoiding algorithms Domain decomposition GPU computing
ISSN:	0021-9991, 1090-2716
On-line přístup:	Získat plný text
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