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Software . 2020
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NLESC-JCER/EigenCuda: Version 0.4.0

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 10 Feb 2020Publisher:Zenodo
Authors: Zapata, Felipe; Renaud, Nicolas;
Code repository: https://github.com/NLESC-JCER/EigenCuda/tree/v0.4.0

doi: 10.5281/zenodo.3660936 , 10.5281/zenodo.3660935

NLESC-JCER/EigenCuda: Version 0.4.0

Abstract

Offload the Eigen3 matrix-matrix multiplication to an Nvidia GPU using CUBLAS. Changed Split the memory management (CudaMatrix) from the CUBLAS invocation (CudaPipeline) Moved all the allocation to the smart pointers inside CudaMatrix Removed unused headers

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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