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-...
| Main Authors: | , , , |
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| Format: | Conference Paper |
| Published: |
2015
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| Online Access: | http://hdl.handle.net/20.500.11937/18477 |