半精度浮点运算的数值基准

P. Luszczek, J. Kurzak, I. Yamazaki, J. Dongarra
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引用次数: 11

摘要

通过NVIDIA Tegra Jetson X1和Pascal P100 gpu, NVIDIA在FP16上引入了基于硬件的计算,也称为半精度算法。在这次演讲中,我们将介绍为这种新的算术格式构建一个可行的基准所需的步骤。这将包括与已建立的IEEE浮点标准和现有HPC基准的连接。讨论将集中在性能和数值稳定性问题上,这对这种基准测试很重要,以及它们与NVIDIA平台的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards numerical benchmark for half-precision floating point arithmetic
With NVIDA Tegra Jetson X1 and Pascal P100 GPUs, NVIDIA introduced hardware-based computation on FP16 numbers also called half-precision arithmetic. In this talk, we will introduce the steps required to build a viable benchmark for this new arithmetic format. This will include the connections to established IEEE floating point standards and existing HPC benchmarks. The discussion will focus on performance and numerical stability issues that are important for this kind of benchmarking and how they relate to NVIDIA platforms.
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