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- W2291863757 abstract "In this paper, we present an architecture to support the execution of data mining applications on high performance computing environments such as clusters, SMP and grids. This architecture automates the process of parallel applications sizing, presenting tools for automatic construction of parallel tasks, automatic scheduling, managing and execution of these applications on high performance computing environments. The mechanisms created for executing mining applications make it possible to explore both data and instruction parallelism. The main contributions of this work are the organization of the proposed architecture and the creation of an algorithm for mapping parallel data mining applications on heterogeneous computational environments. The support of multi-core resources is taken on account. Furthermore, we present the parallelization of a data mining algorithm for regression." @default.
- W2291863757 created "2016-06-24" @default.
- W2291863757 creator A5066349851 @default.
- W2291863757 date "2010-01-01" @default.
- W2291863757 modified "2023-09-26" @default.
- W2291863757 title "PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO GRANDE DO SUL FACULDADE DE INFORMÁTICA PROGRAMA DE PÓS-GRADUAÇÃO EM CIÊNCIA DA COMPUTAÇÃO Uma Arquitetura para Suporte à Mineração de Dados Paralela e Distribuída em Ambientes de Computação de Alto Desempenho" @default.
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