Task‐based parallel strategies for computational fluid dynamic application in heterogeneous CPU/GPU resources

Summary Parallel applications executing in contemporary heterogeneous clusters are complex to code and optimize. The task‐based programming model is an alternative to handle the coding complexity. This model consists of splitting the problem domain into tasks with dependencies through a directed acy...

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Vydané v:	Concurrency and computation Ročník 32; číslo 20
Hlavní autori:	Leandro Nesi, Lucas, da Silva Serpa, Matheus, Mello Schnorr, Lucas, Navaux, Philippe Olivier Alexandre
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Hoboken Wiley Subscription Services, Inc 25.10.2020
Predmet:	Central processing units Computational fluid dynamics Computer simulation CPUs Fluid flow Graphics processing units Incompressible flow Mathematical models Newtonian fluids performance analysis Run time (computers) Task complexity Task scheduling task‐based programming paradigm Toolkits
ISSN:	1532-0626, 1532-0634
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