This paper shows some ways of combining empirical studies with the theoretical modellization of parallel linear algebra routines. With this combination the accuracy of the model is improved, and the model can be used to take some decisions which facilitate the reduction of the execution time. Experiments with the QR and Cholesky factorizations are shown. © Springer-Verlag Berlin Heidelberg 2004.
CITATION STYLE
Cuenca, J., García, L. P., Giménez, D., González, J., & Vidal, A. (2004). Empirical modelling of parallel linear algebra routines. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3019, 169–174. https://doi.org/10.1007/978-3-540-24669-5_22
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