Performance effects of gram-schmidt orthogonalization on multi-core infiniband clusters
Gudula Rünger, Michael Schwind · Proceedings - IEEE International Parallel and Distributed Processing Symposium · 2008
In this article, we investigate how the distribution of dense matrices in a cluster of multi-core systems affects the performance of linear algebra codes. These codes have the property of communicating only within rows or columns of a processor grid. Especially, we consider orthogonalization methods like the Gram-Schmidt orthogonalization. Experiments show the performance for different topology aware mappings on two different multi-core clusters connected with InfiniBand. We show how the performance is influenced by these mappings.