Impact Assessment on the Parallel Performance of Node-Core Combinations in a Multicore Cluster Environment: A Case of Study

Multicore processors have opened new paths for improving the parallel performance in cluster environments. Nevertheless, the selection of different combinations between the amount of nodes and the number of cores per node implies different results in terms of parallel performance. We performed an im...

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Detalles Bibliográficos
Autores principales: Fernández, César, Saravia, Francisco, Valle, Carlos, Allende, Héctor
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2010
Materias:
Ciencias Informáticas
Parallel Algorithms
Parallelism and Data Sharing on Multicore Architectures
Ensemble Learning
Local Negative Correlation
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/152736
http://39jaiio.sadio.org.ar/sites/default/files/39jaiio-hpc-17.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

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