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An FFT Performance Model for Optimizing General-Purpose Processor Architecture
Li, Ling1; Chen, Yun-Ji; Liu, Dao-Fu; Qian, Cheng; Hu, Wei-Wu
2011-09-01
发表期刊JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
ISSN1000-9000
卷号26期号:5页码:875-889
摘要General-purpose processor (GPP) is an important platform for fast Fourier transform (FFT), due to its flexibility, reliability and practicality. FFT is a representative application intensive in both computation and memory access, optimizing the FFT performance of a GPP also benefits the performances of many other applications. To facilitate the analysis of FFT, this paper proposes a theoretical model of the FFT processing. The model gives out a tight lower bound of the runtime of FFT on a GPP, and guides the architecture optimization for GPP as well. Based on the model, two theorems on optimization of architecture parameters are deduced, which refer to the lower bounds of register number and memory bandwidth. Experimental results on different processor architectures (including Intel Core i7 and Godson-3B) validate the performance model. The above investigations were adopted in the development of Godson-3B, which is an industrial GPP. The optimization techniques deduced from our performance model improve the FFT performance by about 40%, while incurring only 0.8% additional area cost. Consequently, Godson-3B solves the 1024-point single-precision complex FFT in 0.368 is with about 40 Watt power consumption, and has the highest performance-per-watt in complex FFT among processors as far as we know. This work could benefit optimization of other GPPs as well.
关键词fast Fourier transform (FFT) general-purpose processor (GPP) performance prediction model vector unit DMA
DOI10.1007/s11390-011-0186-z
收录类别SCI
语种英语
资助项目National Science and Technology Major Project[2009ZX01028-002-003] ; National Science and Technology Major Project[2009ZX01029-001-003] ; National Science and Technology Major Project[2010ZX01036-001-002] ; National Natural Science Foundation of China[61050002] ; National Natural Science Foundation of China[61003064] ; National Natural Science Foundation of China[60921002]
WOS研究方向Computer Science
WOS类目Computer Science, Hardware & Architecture ; Computer Science, Software Engineering
WOS记录号WOS:000297212300013
出版者SCIENCE PRESS
引用统计
被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/12560
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Li, Ling
作者单位1.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
2.Loongson Technol Corp Ltd, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Li, Ling,Chen, Yun-Ji,Liu, Dao-Fu,et al. An FFT Performance Model for Optimizing General-Purpose Processor Architecture[J]. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,2011,26(5):875-889.
APA Li, Ling,Chen, Yun-Ji,Liu, Dao-Fu,Qian, Cheng,&Hu, Wei-Wu.(2011).An FFT Performance Model for Optimizing General-Purpose Processor Architecture.JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,26(5),875-889.
MLA Li, Ling,et al."An FFT Performance Model for Optimizing General-Purpose Processor Architecture".JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 26.5(2011):875-889.
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