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Scalable Dense Factorizations for Heterogeneous Computational Clusters

机译:用于异构计算群集的可扩展密集素质

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This paper discusses the design and the implementation of the LU factorization routines included in the Heterogeneous ScaLAPACK library, which is built on top of ScaLAPACK. These routines are used in the factorization and solution of a dense system of linear equations. They are implemented using optimized PBLAS, BLACS and BLAS libraries for heterogeneous computational clusters. We present the details of the implementation as well asperformance results on a heterogeneous computingcluster.
机译:本文讨论了异构缩放库库中包含的LU分解例程的设计和实现,该程序建于缩放标签之上。这些例程用于分解和解线性方程的密集系统。它们是使用优化的PBLA,BLACS和BLAS库来实现,用于异构计算群集。我们介绍了该实施的细节,以及异构计算集团的表现结果。

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