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Bucket Sieving

Kazumaro AOKI, Hiroki UEDA

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Summary :

This paper proposes a new sieving algorithm that employs a bucket sort as a part of a factoring algorithm such as the number field sieve. The sieving step requires an enormous number of memory updates; however, these updates usually cause cache hit misses. The proposed algorithm significantly reduces the number of cache hit misses when the size of the sieving region is roughly less than the square of the cache size, and the memory updates are several times faster than the straightforward implementation according to the PC experiments.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E92-A No.8 pp.1845-1850
Publication Date
2009/08/01
Publicized
Online ISSN
1745-1337
DOI
10.1587/transfun.E92.A.1845
Type of Manuscript
Special Section PAPER (Special Section on Discrete Mathematics and Its Applications)
Category
Theory

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