LU分解:用无查找算法隐藏通信开销

T. Nguyen, S. Baden
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引用次数: 3

摘要

在矩阵分解中,前向是一种众所周知的屏蔽通信的技术,但其代价是使应用软件变得复杂。我们提出了一种基于自动代码重构的新方法,它实现了前瞻性的好处,同时避免了复杂性。我们将我们的技术应用于HPL,即用于评估超级计算机性能的Linpack基准测试。从应用程序的更简单的非前瞻性版本开始,我们能够满足Stampede大型机上的前瞻性性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
LU Factorization: Towards Hiding Communication Overheads with a Lookahead-Free Algorithm
Lookahead is a well-known technique for masking communication in matrix factorization, but at the cost of complicating application software. We present a new approach, based on automated code-restructuring, that realizes the benefits of lookahead while avoiding the complications. We apply our technique to HPL, the Linpack benchmark used to assess the performance of supercomputers. Starting with the simpler non-lookahead version of the application, we are able to meet the performance of lookahead on the Stampede mainframe.
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