On the design of parallel linear solvers for large scale problems

Abstract : In this talk we will discuss our research activities on the design of parallel linear solvers for large scale problems that range from dense linear algebra, to parallel sparse direct solver and hybrid iterative-direct approaches. In particular we will describe the implementations designed on top of runtime systems that should provide both code and performance portabilities. Finally, we will present some preliminary results on the integration of h-matrice kernels in our sparse direct solver framework.
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Communication dans un congrès
Mini-Symposium on Recent advances in matrix computations for extreme-scale computers at ICIAM'15 conference, Aug 2015, Beijing, China
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https://hal.inria.fr/hal-01100987
Contributeur : Pierre Ramet <>
Soumis le : mercredi 7 janvier 2015 - 15:17:17
Dernière modification le : jeudi 11 janvier 2018 - 06:22:35

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  • HAL Id : hal-01100987, version 1

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Xavier Lacoste, Mathieu Faverge, Pierre Ramet. On the design of parallel linear solvers for large scale problems. Mini-Symposium on Recent advances in matrix computations for extreme-scale computers at ICIAM'15 conference, Aug 2015, Beijing, China. 〈hal-01100987〉

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