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Acceleration of Differential Power Analysis through the Parallel Use of GPU and CPU

Sung Jae LEE, Seog Chung SEO, Dong-Guk HAN, Seokhie HONG, Sangjin LEE

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Summary :

This paper proposes methods for accelerating DPA by using the CPU and the GPU in a parallel manner. The overhead of naive DPA evaluation software increases excessively as the number of points in a trace or the number of traces is enlarged due to the rapid increase of file I/O overhead. This paper presents some techniques, with respect to DPA-arithmetic and file handling, which can make the overhead of DPA software become not extreme but gradual as the increase of the amount of trace data to be processed. Through generic experiments, we show that the software, equipped with the proposed methods, using both CPU and GPU can shorten the time for evaluating the DPA resistance of devices by almost half.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E93-A No.9 pp.1688-1692
Publication Date
2010/09/01
Publicized
Online ISSN
1745-1337
DOI
10.1587/transfun.E93.A.1688
Type of Manuscript
LETTER
Category
Cryptography and Information Security

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