Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Jan Philipp Ecker"'
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319642024
Euro-Par
Euro-Par
The Sparse Matrix-Vector Multiplication (SpMV) is an important building block in High Performance Computing. Performance improvements for the SpMV are often gained by the development of new optimized sparse matrix formats either by utilizing special
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b51dd9478ad00efcf529b1c3c6c9654
https://doi.org/10.1007/978-3-319-64203-1_38
https://doi.org/10.1007/978-3-319-64203-1_38
Publikováno v:
Euro-Par 2016: Parallel Processing ISBN: 9783319436586
Euro-Par
Euro-Par
Predicting the runtime of a sparse matrix-vector multiplication SpMV for different sparse matrix formats and thread mappings allows the dynamic selection of the most appropriate matrix format and thread mapping for a given matrix. This paper introduc
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https://explore.openaire.eu/search/publication?articleId=doi_________::a5053fce55dc99460bfd6abf2535b09e
https://doi.org/10.1007/978-3-319-43659-3_7
https://doi.org/10.1007/978-3-319-43659-3_7
Publikováno v:
Parallel Processing and Applied Mathematics ISBN: 9783319321486
PPAM (1)
PPAM (1)
There exist various different high- and low-level approaches for GPU programming. These include the newer directive based OpenACC programming model, Nvidia’s programming platform CUDA and existing libraries like cuSPARSE with a fixed functionality.
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https://explore.openaire.eu/search/publication?articleId=doi_________::483f035bea11c5c046e5580e1fe0a35a
https://doi.org/10.1007/978-3-319-32149-3_50
https://doi.org/10.1007/978-3-319-32149-3_50