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2005

Performance-Driven Processor Allocation

J. Corbalán, X. Martorell, and J. Labarta
Implementing Phylogenetic Inference with GRID superscalar

J. Labarta, V. Dialinos, R. M. Badia, R. Sirvent, and J. M. Pérez
Development and performance of a grid computing approach to the massive exploration of potential energy hypersurfaces for spectroscopic studies

S. Reyes, C. Muñoz-Caro, A. Niño, R. M. Badia, and J M.. Cela
Grid computing performance prediction based in historical information

F. Guim, A. Goyeneche, J. Corbalán, J. Labarta, and G. Terstyansky
Lightweight Grid Platform: Design Methodology

R. M. Badia, O. Beckmann, M. Bubak, D. Caromel, V. Getov, S. Isaiadis, V. Lazarov, M. Malawski, S. Panagiotidi, and J. Thiyagalingam
Performance monitoring of GRID superscalar applications with OCM-G

R. M. Badia, M. Bubak, W. Funika, and M. Smetek
GRID superscalar and SAGA: forming a high-level and platform-independent Grid programming environment

R. Sirvent, A. Merzky, R. M. Badia, and T. Kielmann
Soporte para el análisis de workloads en el proyecto eNANOS

I. Rodero, J. Corbalán, A. Duran, and J. Labarta
Analyzing LoadLeveler historical information for performance prediction

F. Guim, J. Corbalán, and J. Labarta
eNANOS: Coordinated Scheduling in Grid Environments

I. Rodero, F. Guim, J. Corbalán, and J. Labarta

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