Impact of Asynchronism on GPU Accelerated Parallel Iterative Computations
Identifieur interne : 001E27 ( Main/Exploration ); précédent : 001E26; suivant : 001E28Impact of Asynchronism on GPU Accelerated Parallel Iterative Computations
Auteurs : Sylvain Contassot-Vivier [France] ; Thomas Jost [France] ; Stéphane Vialle [France]Source :
- Lecture Notes in Computer Science [ 0302-9743 ]
Abstract
Abstract: We study the impact of asynchronism on parallel iterative algorithms in the particular context of local clusters of workstations including GPUs. The application test is a classical PDE problem of advection-diffusion-reaction in 3D. We propose an asynchronous version of a previously developed PDE solver using GPUs for the inner computations. The algorithm is tested with two kinds of clusters, a homogeneous one and a heterogeneous one (with different CPUs and GPUs).
Url:
- https://api.istex.fr/ark:/67375/HCB-4VSW25R0-4/fulltext.pdf
- https://hal-supelec.archives-ouvertes.fr/hal-00685153
DOI: 10.1007/978-3-642-28151-8_5
Affiliations:
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<front><div type="abstract" xml:lang="en">Abstract: We study the impact of asynchronism on parallel iterative algorithms in the particular context of local clusters of workstations including GPUs. The application test is a classical PDE problem of advection-diffusion-reaction in 3D. We propose an asynchronous version of a previously developed PDE solver using GPUs for the inner computations. The algorithm is tested with two kinds of clusters, a homogeneous one and a heterogeneous one (with different CPUs and GPUs).</div>
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