基于gpu的SIP求解器混合精度技术研究

P. Igounet, E. Dufrechou, M. Pedemonte, P. Ezzatti
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引用次数: 5

摘要

本文介绍了混合精度技术的研究和应用,以加速基于gpu的强隐式过程(SIP)求解七对角线性系统的实现。特别地,讨论了在GPU实现中结合混合精度的两种不同选择,并实现了其中一种。实验评估表明,我们的建议可以获得类似于GPU上的单精度实现的运行时,但实现了与双精度算法相当的数值精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Study on Mixed Precision Techniques for a GPU-based SIP Solver
This article presents the study and application of mixed precision techniques to accelerate a GPU-based implementation of the Strongly Implicit Procedure (SIP) to solve hepta-diagonal linear systems. In particular, two different options to incorporate mixed precision in the GPU implementation are discussed and one of them is implemented. The experimental evaluation of our proposal demonstrates that a runtime similar to a single precision implementation on GPU can be attained, but achieving a numerical accuracy comparable to double precision arithmetic.
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