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Author:

Bao, Zhenshan (Bao, Zhenshan.) | Chen, Chong (Chen, Chong.) | Zhang, Wenbo (Zhang, Wenbo.)

Indexed by:

EI Scopus

Abstract:

DES (Data Encryption Standard) is one of the most classical algorithms of cryptography and its higher security makes it hard to be broke for a very long time. However, along with the constant development of computer technology, especially in the 21st century, DES cannot be applied widely because of its low efficiency. Recently, the novel heterogeneous multi-core architecture represented by APU (Accelerated Processing Unit), provides a new solution for the above problems. APU integrates CPU and GPU in a groundbreaking manner and makes the algorithm to make full use of the performance advantage of heterogeneous multi-core system by realizing the HSA (Heterogeneous System Architecture) standard. This paper realizes DES on the fresh APU processor. By analyzing the performance, two kinds of improved schemes are proposed. The experimental results show that the running efficiency of algorithm can be greatly improved by using APU with reasonable optimization. In the same way, the other DES-like algorithm would also be optimized on these heterogeneous multi-core architecture. © Springer Nature Singapore Pte Ltd. 2018.

Keyword:

Computer architecture Efficiency Cryptography Auxiliary power systems

Author Community:

  • [ 1 ] [Bao, Zhenshan]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Chen, Chong]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Zhang, Wenbo]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China

Reprint Author's Address:

  • [chen, chong]faculty of information technology, beijing university of technology, beijing; 100124, china

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Source :

ISSN: 1865-0929

Year: 2018

Volume: 901

Page: 444-451

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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