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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Bibliographic Details

Published in:	The International journal of networked and distributed computing (Online) Vol. 2; no. 3; pp. 124 - 134
Main Authors:	Khan, Ayaz ul Hassan, Al-Mouhamed, Mayez, Fatayer, Allam, Almousa, Anas, Baqais, Abdulrahman, Assayony, Mohammed
Format:	Journal Article
Language:	English
Published:	Dordrecht Springer Netherlands 01.01.2014 Springer
Subjects:	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
Online Access:	Get full text
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