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Numerical Computations With GPUs 2014
DOI: 10.1007/978-3-319-06548-9_6
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Sparse Matrix-Vector Product

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Cited by 4 publications
(3 citation statements)
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“…The DSMC Method Like other publicly-available CFD packages, OpenFOAM has been designed for parallel processing, on CPU and recently on GPU. [82] The solver initially proposed for use in this thesis, dsmcFoam, was released in 2010 as part of OpenFOAM, with the intent of being fully-capable and customizable. [64,83] Since its release, it has been tested for both speed and accuracy, with satisfying results.…”
Section: 21 Algorithmmentioning
confidence: 99%
“…The DSMC Method Like other publicly-available CFD packages, OpenFOAM has been designed for parallel processing, on CPU and recently on GPU. [82] The solver initially proposed for use in this thesis, dsmcFoam, was released in 2010 as part of OpenFOAM, with the intent of being fully-capable and customizable. [64,83] Since its release, it has been tested for both speed and accuracy, with satisfying results.…”
Section: 21 Algorithmmentioning
confidence: 99%
“…Hence, reducing the traffic should directly lead to a performance improvement. It is often assumed that computing the Sparse Matrix Vector (SpMV) product is memory-bound; see, for example, [1][2][3]. The biggest contributor to the overall SpMV traffic is the matrix.…”
Section: Introductionmentioning
confidence: 99%
“…[82] The solver initially proposed for use in this thesis, dsmcFoam, was released in 2010 as part of OpenFOAM, with the intent of being fully-capable and customizable. [64,83] Since its release, it has been tested for both speed and accuracy, with satisfying results.…”
Section: Openfoam Is a Toolbox (Written In C++) For Numerical Solversmentioning
confidence: 99%