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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Concurrency and computation Jg. 32; H. 20
Hauptverfasser:	Leandro Nesi, Lucas, da Silva Serpa, Matheus, Mello Schnorr, Lucas, Navaux, Philippe Olivier Alexandre
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hoboken Wiley Subscription Services, Inc 25.10.2020
Schlagworte:	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-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!