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

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)1688-1692
Number of pages5
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
VolumeE93-A
Issue number9
DOIs
Publication statusPublished - 2010 Sep

Keywords

  • Compute unified device architecture (CUDA)
  • Differential power analysis (DPA)
  • Graphic processing unit (GPU)

ASJC Scopus subject areas

  • Signal Processing
  • Computer Graphics and Computer-Aided Design
  • Electrical and Electronic Engineering
  • Applied Mathematics

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