• 综合
  • 标题
  • 关键词
  • 摘要
  • 学者
  • 期刊-刊名
  • 期刊-ISSN
  • 会议名称
搜索

作者:

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

收录:

EI Scopus

摘要:

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.

关键词:

Auxiliary power systems Computer architecture Cryptography Efficiency

作者机构:

  • [ 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

通讯作者信息:

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

电子邮件地址:

查看成果更多字段

相关关键词:

相关文章:

来源 :

ISSN: 1865-0929

年份: 2018

卷: 901

页码: 444-451

语种: 英文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次:

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 2

归属院系:

在线人数/总访问数:2618/2962572
地址:北京工业大学图书馆(北京市朝阳区平乐园100号 邮编:100124) 联系我们:010-67392185
版权所有:北京工业大学图书馆 站点建设与维护:北京爱琴海乐之技术有限公司