Fast Linear Algebra on GPU
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F12%3APU101807" target="_blank" >RIV/00216305:26230/12:PU101807 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Fast Linear Algebra on GPU
Original language description
GPUs have been successfully used for acceleration of many mathematical functions and libraries. A common limitation of those libraries is the minimal size of primitives being handled, in order to achieve a significant speedup compared to their CPU versions. The minimal size requirement can prove prohibitive for many applications. It can be loosened by batching operations in order to have sufficient amount of data to perform the calculation maximally efficiently on the GPU. A fast OpenCL implementation of two basic vector functions - vector reduction and vector scaling - is described in this paper. Its performance is analyzed by running benchmarks on two of the most common GPUs in use - Tesla and Fermi GPUs from NVIDIA. Reported experimental results show that our implementation significantly outperforms the current state-of-the-art GPU-based basic linear algebra library CUBLAS.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/7H10012" target="_blank" >7H10012: Embedded Service Oriented Monitoring, Diagnostics and Control: Towards the Asset-aware and Self-Recovery Factory</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IEEE conference proceedings
ISBN
978-0-7695-4749-7
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
1-6
Publisher name
IEEE Computer Society
Place of publication
Liverpool
Event location
Liverpool
Event date
Jun 25, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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