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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.
https://hal.inria.fr/hal-00788917
Contributor : Arnaud Legrand <>
Submitted on : Friday, February 15, 2013 - 1:46:24 PM
Last modification on : Thursday, November 19, 2020 - 1:00:28 PM
Contributor : Arnaud Legrand <>
Submitted on : Friday, February 15, 2013 - 1:46:24 PM
Last modification on : Thursday, November 19, 2020 - 1:00:28 PM
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