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	Improving performance of floating point division on GPU and MIC
	Huang, Kun ; Chen, Yifeng
	2015
英文摘要	Floating point computing ability is an important concern in high performance scientific application and engineering computing. Although as a fundamental operation, floating point division (or reciprocal) has long been much less efficiency compared with addition and multiplication. Architectures like GPU and MIC even have no instruction for such division in the instruction level. This paper proposes a fast approximation algorithm to estimate the division of floating point numbers in IEEE 754 format based on existing instructions which in most cases are accurate enough for practical computing. It consists of a predicting step and an iterating step like most iterative numerical algorithm. The predicting step makes use of the property of IEEE 754 format to calculate estimation by only one integer subtraction instruction. The iterating step improves the accuracy by fast iterations in about ten instructions. This new algorithm is extremely easy to implement and shows a great performance in practical experiments. ? Springer International Publishing Switzerland 2015.; EI; 691-703; 9529
语种	英语
出处	15th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2015
DOI标识	10.1007/978-3-319-27122-4_48
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/436881]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Huang, Kun,Chen, Yifeng. Improving performance of floating point division on GPU and MIC. 2015-01-01.

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