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Modeling the performance of parallel applications using model selection techniques.

, , , , and . Concurr. Comput. Pract. Exp., 26 (2): 586-599 (2014)

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Using accurate AIC-based performance models to improve the scheduling of parallel applications., , , , , and . J. Supercomput., 58 (3): 332-340 (2011)Modeling Execution Time of Selected Computation and Communication Kernels on Grids., , , , , , , , and . EGC, volume 3470 of Lecture Notes in Computer Science, page 731-740. Springer, (2005)A Load Balance Methodology for Highly Compute-Intensive Applications on Grids Based on Computational Modeling., , , , and . OTM Workshops, volume 3762 of Lecture Notes in Computer Science, page 327-336. Springer, (2005)Analytical Performance Models of Parallel Programs in Clusters., , , , and . PARCO, volume 15 of Advances in Parallel Computing, page 99-106. IOS Press, (2007)Model Selection to Characterize Performance Using Genetic Algorithms., , , , and . ISPA, page 859-860. IEEE Computer Society, (2012)Modeling the performance of parallel applications using model selection techniques., , , , and . Concurr. Comput. Pract. Exp., 26 (2): 586-599 (2014)Accurate analytical performance model of communications in MPI applications., , , , and . IPDPS, page 1-8. IEEE, (2009)Computational advances in polynomial optimization: RAPOSa, a freely available global solver., , , , , and . J. Glob. Optim., 85 (3): 541-568 (March 2023)Automatic parameter assessment of logp-based communication models in MPI environments., , , , and . ICCS, volume 1 of Procedia Computer Science, page 2155-2164. Elsevier, (2010)Performance Modeling of MPI Applications Using Model Selection Techniques., , , , and . PDP, page 95-102. IEEE Computer Society, (2010)