Improved Row-grouped CSR Format for Storing of Sparse Matrices on GPU

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F12%3A00203142" target="_blank" >RIV/68407700:21340/12:00203142 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Improved Row-grouped CSR Format for Storing of Sparse Matrices on GPU
Original language description
We present new format for storing sparse matrices on GPU. We compare it with several other formats including CUSPARSE which is today probably the best choice for processing of sparse matrices on GPU in CUDA. Contrary to CUSPARSE which works with common CSR format, our new format requires conversion. However, multiplication of sparse-matrix and vector is significantly faster for many matrices. We demonstrate it on set of 1 600 matrices and we show for what types of matrices our format is profitable.
Czech name
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Czech description
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Project
<a href="/en/project/LC06052" target="_blank" >LC06052: The Nečas Center for Mathematical Modeling</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Algoritmy 2012 Proceedings of Contributed Papers and Posters
ISBN
978-80-227-3742-5
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
282-290
Publisher name
Slovak University of Technology, Faculty of Civil Engineering
Place of publication
Bratislava
Event location
Podbanské
Event date
Sep 9, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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