Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
393914 | Information Sciences | 2013 | 4 Pages |
Abstract
In 2009, Wu proposed a fast modular exponentiation algorithm and claimed that the proposed algorithm on average saved about 38.9% and 26.68% of single-precision multiplications as compared to Dussé–Kaliski’s Montgomery algorithm and Ha–Moon’s Montgomery algorithm, respectively. However, in this comment, we demonstrate that Wu’s algorithm on average reduces the number of single-precision multiplications by at most 22.43% and 6.91%, when respectively compared with Dussé–Kaliski’s version and Ha–Moon’s version. That is, the computational efficiency of Wu’s algorithm is obviously overestimated.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Da-Zhi Sun, Jin-Peng Huai, Zhen-Fu Cao,