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calculation components analysis of the lattice sieve
Yang Yang; Zeng Guang; Wang Zheng; Han Wenbao
2012
Conference Name2012 International Conference on Intelligent System and Applied Material, GSAM 2012
SourceAdvanced Materials Research
Pages298-302
Conference DateJanuary 13, 2012 - January 15, 2012
Conference PlaceTaiyuan, Shanxi, China
Indexed TypeEI
ISSN1022-6680
ISBN9783037853689
Department(1) Dept. of Applied Mathematics Zhengzhou Information Science and Technology Institute Zhengzhou China; (2) State Key Laboratory of Information Security Institute of Software Chinese Academy of Sciences Beijing China
English AbstractCurrently, the best known algorithm for factoring RSA modulus is the General Number Field Sieve. Through the software optimized implementation of GNFS with RSA-768, we extracted nine main calculation components from the lattice sieve. Detail descriptions and comprehensive analysis of the properties about calculation, memory and communication to the nine components were given in this paper, which makes it possible to use of a variety of computing platforms, such as CPU, FPGA, CELL, and GPU etc, to accelerate the realization of GNFS. © (2012) Trans Tech Publications.; Currently, the best known algorithm for factoring RSA modulus is the General Number Field Sieve. Through the software optimized implementation of GNFS with RSA-768, we extracted nine main calculation components from the lattice sieve. Detail descriptions and comprehensive analysis of the properties about calculation, memory and communication to the nine components were given in this paper, which makes it possible to use of a variety of computing platforms, such as CPU, FPGA, CELL, and GPU etc, to accelerate the realization of GNFS. © (2012) Trans Tech Publications.
KeywordField Programmable Gate Arrays (Fpga) Intelligent Systems
Language英语
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/15713
Collection中国科学院软件研究所
Recommended Citation
GB/T 7714
Yang Yang,Zeng Guang,Wang Zheng,et al. calculation components analysis of the lattice sieve[C],2012:298-302.
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