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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Bibliographic Details

Published in:	Concurrency and computation Vol. 32; no. 20
Main Authors:	Leandro Nesi, Lucas, da Silva Serpa, Matheus, Mello Schnorr, Lucas, Navaux, Philippe Olivier Alexandre
Format:	Journal Article
Language:	English
Published:	Hoboken Wiley Subscription Services, Inc 25.10.2020
Subjects:	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
Online Access:	Get full text
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