Scalable Dense Factorizations for Heterogeneous Computational Clusters

Ravi Reddy, Alexey L. Lastovetsky, P. Alonso
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引用次数: 2

Abstract

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 as performance results on a heterogeneous computing cluster.
异构计算集群的可扩展密集分解
本文讨论了基于ScaLAPACK构建的异构ScaLAPACK库中的逻辑单元分解例程的设计和实现。这些例程用于密集线性方程组的分解和求解。它们是使用针对异构计算集群的优化PBLAS、BLACS和BLAS库实现的。我们给出了实现的细节以及在异构计算集群上的性能结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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