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Empirical Modelling of Parallel Linear Algebra Routines

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Parallel Processing and Applied Mathematics (PPAM 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3019))

Abstract

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.

This work has been funded in part by CICYT, project number TIC2000/1683-C03, and Fundación Séneca, project number PI-34/00788/FS/01, and has been developed using the systems of the CEPBA, the CESCA and the ICL at the University of Tennessee.

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References

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© 2004 Springer-Verlag Berlin Heidelberg

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Cuenca, J., García, LP., Giménez, D., González, J., Vidal, A. (2004). Empirical Modelling of Parallel Linear Algebra Routines. In: Wyrzykowski, R., Dongarra, J., Paprzycki, M., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2003. Lecture Notes in Computer Science, vol 3019. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24669-5_22

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  • DOI: https://doi.org/10.1007/978-3-540-24669-5_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21946-0

  • Online ISBN: 978-3-540-24669-5

  • eBook Packages: Springer Book Archive

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