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- W2275777722 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, which combine the efficiency and scalability of MPP (Massively Parallel Processing) machines with the programming facility of the SMP (Symmetric Multiprocessors) machines. In this work, NUMA-ICTM is presented: a parallel solution of ICTM for NUMA machines exploiting memory placement strategies. First, ICTM is parallelized using only OpenMP. After, the OpenMP solution is improved 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." @default.
- W2275777722 created "2016-06-24" @default.
- W2275777722 creator A5018384192 @default.
- W2275777722 date "2009-01-01" @default.
- W2275777722 modified "2023-09-27" @default.
- W2275777722 title "NUMA-ICTM: Uma Versão Paralela do ICTM Explorando Estratégias de Alocação de Memória para Máquinas NUMA" @default.
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- W2275777722 hasPublicationYear "2009" @default.
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