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Linear Algebra Libraries with DAG Runtimes on GPUs

Abstract : Nowadays many clusters integrate GPUs accelerators in their architectures that provide a huge amount of computational units rarely fully exploited. We present in this talk how tile algorithms and DAG schedulers as PaRSEC or StarPU can allow the programmer to integrate GPUs in their algorithms. We will present dense linear algebra algorithms as Cholesky or LU factorizations that exploit distributed architectures equipped with GPUs.
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Contributor : Mathieu Faverge Connect in order to contact the contributor
Submitted on : Wednesday, January 22, 2014 - 11:44:16 AM
Last modification on : Monday, December 20, 2021 - 4:50:14 PM


  • HAL Id : hal-00934573, version 1



George Bosilca, Aurélien Bouteiller, Mathieu Faverge, Thomas Hérault. Linear Algebra Libraries with DAG Runtimes on GPUs. SIAM Conference on Computational Science and Engineering (SIAM CSE 2013), Feb 2013, Boston, United States. ⟨hal-00934573⟩



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