Efficient sparse matrix-vector multiplication for geophysical electromagnetic codes on Xeon Phi coprocessors

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Efficient sparse matrix-vector multiplication for geophysical electromagnetic codes on Xeon Phi coprocessors

Sparse matrix-vector multiplication (spMV) is a fundamental building block of iterative solvers in many scientific applications. spMV is known to perform poorly in modern processors due to excessive pressure over the memory system, overhead of irregular memory accesses and load imbalance due to non-...

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Bibliographic Details
Main Authors:	Bernabeu, S., Puzyrev, Volodymyr, Hanzich, M., Fernandez, S.
Format:	Conference Paper
Published:	2015
Online Access:	http://hdl.handle.net/20.500.11937/18477

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