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Symbolic Mapping and Allocation for the Cholesky Factorization on NUMA machines: Results and Optimizations
Abstract : We discuss some performance issues of the tiled Cholesky factorization on non-uniform memory access-time (NUMA) shared memory machines. We show how to optimize thread and data placement in order to achieve performance gains up to 50% compared to state-of- the-art libraries such as PLASMA or MKL.
Cited literature [7 references]
https://hal.inria.fr/hal-00921611
Contributor : Emmanuel Jeannot Connect in order to contact the contributor
Submitted on : Friday, December 20, 2013 - 4:42:05 PM
Last modification on : Saturday, June 25, 2022 - 7:47:19 PM
Long-term archiving on: : Friday, March 21, 2014 - 9:18:29 AM
Contributor : Emmanuel Jeannot Connect in order to contact the contributor
Submitted on : Friday, December 20, 2013 - 4:42:05 PM
Last modification on : Saturday, June 25, 2022 - 7:47:19 PM
Long-term archiving on: : Friday, March 21, 2014 - 9:18:29 AM
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jeannot.pdf
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