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NUMA-ICTM: A Parallel Version of ICTM Exploiting Memory Placement Strategies for NUMA Machines

Abstract : In geophysics, the appropriate subdivision of a region into segments is extremely important. ICTM (interval categorizer tesselation model) is an application that categorizes geographic regions using information extracted from satellite images. The categorization of large regions is a computational intensive problem, what justifies the proposal and development of parallel solutions in order to improve its applicability. Recent advances in multiprocessor architectures lead to the emergence of NUMA (non-uniform memory access) machines. In this work, we present NUMA-ICTM: a parallel solution of ICTM for NUMA machines. First, we parallelize ICTM using OpenMP. After, we improve the OpenMP solution using the MAI (memory affinity interface) library, which allows a control of memory allocation in NUMA machines. The results show that the optimization of memory allocation leads to significant performance gains over the pure OpenMP parallel solution.
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Contributor : Arnaud Legrand Connect in order to contact the contributor
Submitted on : Friday, February 15, 2013 - 1:46:24 PM
Last modification on : Thursday, January 20, 2022 - 5:31:08 PM

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Marcio Bastos Castro, Luiz Gustavo Fernandes, Christiane Pousa Ribeiro, Jean-François Mehaut, M. Aguiar. NUMA-ICTM: A Parallel Version of ICTM Exploiting Memory Placement Strategies for NUMA Machines. Proceedings of the 10th International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC), 2009, Roma, Italy. pp.1-8, ⟨10.1109/IPDPS.2009.5161155⟩. ⟨hal-00788917⟩



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