Skip to Main content Skip to Navigation
New interface
Journal articles

Dense Linear Algebra Kernels on Heterogeneous Platforms: Redistribution Issues

Olivier Beaumont 1 Arnaud Legrand 1 Fabrice Rastello 1 Yves Robert 1 
1 REMAP - Regularity and massive parallel computing
Inria Grenoble - Rhône-Alpes, LIP - Laboratoire de l'Informatique du Parallélisme
Abstract : Redistribution algorithms for dense linear algebra kernels on heterogeneous platforms are considered. In this context, processor speeds may well vary during the execution of a large kernel, which requires efficient strategies for redistributing the data along the computations. The proposed strategy is to redistribute data after some well-identified static phases and therefore is neither fully static nor fully dynamic. An optimal algorithm (under some assumptions) for redistributing data when computing the product of two matrices is presented.
Complete list of metadata
Contributor : Arnaud Legrand Connect in order to contact the contributor
Submitted on : Monday, February 18, 2013 - 11:51:05 AM
Last modification on : Tuesday, October 25, 2022 - 4:18:10 PM

Links full text



Olivier Beaumont, Arnaud Legrand, Fabrice Rastello, Yves Robert. Dense Linear Algebra Kernels on Heterogeneous Platforms: Redistribution Issues. Parallel Computing, 2002, 28, pp.155―185. ⟨10.1016/S0167-8191(01)00134-X⟩. ⟨hal-00789434⟩



Record views