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Locality Optimization on a NUMA Architecture for Hybrid LU Factorization
Adrien Rémy, Marc Baboulin, Masha Sosonkina, Brigitte Rozoy
153 - 162
10.3233/978-1-61499-381-0-153
Advances in Parallel Computing
Volume 25: Parallel Computing: Accelerating Computational Science and Engineering (CSE)
Abstract

We study the impact of non-uniform memory accesses (NUMA) on the solution of dense general linear systems using an LU factorization algorithm. In particular we illustrate how an appropriate placement of the threads and memory on a NUMA architecture can improve the performance of the panel factorization and consequently accelerate the global LU factorization. We apply these placement strategies and present performance results for a hybrid multicore/GPU LU algorithm as it is implemented in the public domain library MAGMA.

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