Padding Free Bank Conflict Resolution for CUDA-Based Matrix Transpose Algorithm

The advances of Graphic Processing Units (GPU) technology and the introduction of CUDA programming model facilitates developing new solutions for sparse and dense linear algebra solvers. Matrix Transpose is an important linear algebra procedure that has deep impact in various computational science a...

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Vydáno v:	The International journal of networked and distributed computing (Online) Ročník 2; číslo 3; s. 124 - 134
Hlavní autoři:	Khan, Ayaz ul Hassan, Al-Mouhamed, Mayez, Fatayer, Allam, Almousa, Anas, Baqais, Abdulrahman, Assayony, Mohammed
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Dordrecht Springer Netherlands 01.01.2014 Springer
Témata:	Bank conflict free coalesced memory access CUDA GPU linear Algebra solvers matrix transpose Research Article CUDA solving system of linear equations Bank conflict free coalesced memory access matrix transpose linear Algebra solvers GPU
ISSN:	2211-7938, 2211-7946, 2211-7946
On-line přístup:	Získat plný text
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