Efficient sparse matrix-vector multiplication on cache-based GPUs

Sparse matrix-vector multiplication is an integral part of many scientific algorithms. Several studies have shown that it is a bandwidth-limited operation on current hardware. On cache-based architectures the main factors that influence performance are spatial locality in accessing the matrix, and t...

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Bibliographic Details
Main Authors:	Reguly István Zoltán Giles M
Format:	Book part
Published:	IEEE Communications Society Piscataway (NJ) 2012
Series:	Innovative Parallel Computing (InPar), 2012
Subjects:	Műszaki és technológiai tudományok
mtmt:	2724105
Online Access:	https://publikacio.ppke.hu/1901

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