Symbolic mapping and allocation for the Cholesky factorization on NUMA machines

Author:

Jeannot Emmanuel1

Affiliation:

1. Inria Bordeaux Sud-Ouest, LaBRI, France

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 improve performance. The final result is 50\% faster than PLASMA and 75\% faster than MKL.

Publisher

SAGE Publications

Subject

Hardware and Architecture,Theoretical Computer Science,Software

Reference9 articles.

1. Agullo E, Dongarra J, Hadri B, (2010) PLASMA users guide. Technical Report, Innovative Computing Laboratory, University of Tennessee , TN.

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