About: Fast Linear Algebra on GPU

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
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. 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. (en)
Title	Fast Linear Algebra on GPU Fast Linear Algebra on GPU (en)
skos:prefLabel	Fast Linear Algebra on GPU Fast Linear Algebra on GPU (en)
skos:notation	RIV/00216305:26230/12:PU101807!RIV13-MSM-26230___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(7H10012)
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Smrž, Pavel Polok, Lukáš
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta informačních technologií
http://linked.open...dnocenehoVysledku	136211
http://linked.open...ai/riv/idVysledku	RIV/00216305:26230/12:PU101807
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	GPU, parallel reduction, linear algebra, BLAS, OpenCL, CUDA (en)
http://linked.open.../riv/klicoveSlovo	OpenCL CUDA GPU BLAS linear algebra parallel reduction
http://linked.open...ontrolniKodProRIV	[AD579E6216EA]
http://linked.open...v/mistoKonaniAkce	Liverpool
http://linked.open...i/riv/mistoVydani	Liverpool
http://linked.open...i/riv/nazevZdroje	IEEE conference proceedings
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Embedded Service Oriented Monitoring, Diagnostics and Control: Towards the Asset-aware and Self-Recovery Factory
http://linked.open...UplatneniVysledku	2012
http://linked.open...iv/tvurceVysledku	Smrž, Pavel Polok, Lukáš
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2012-06-25 (xsd:date)
number of pages	6 (xsd:int)
http://purl.org/ne...btex#hasPublisher	IEEE Computer Society
https://schema.org/isbn	978-0-7695-4749-7
http://localhost/t...ganizacniJednotka	26230

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