期刊论文、会议论文

Fei, Xiongwei

英文

Parallel Computing

0167-8191

2020

94-95

102621

2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)

2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)

May 2019

Rio de Janeiro, Brazil

IEEE

978-1-7281-3511-3

10.1016/j.parco.2020.102621

The authors would like to thank the anonymous reviewers for their insightful comments and valuable suggestions, and the support of the Key Program of National Natural Science Foundation of China (Grant nos. 61133005 , 61432005 ), Natural Science Foundation of Hunan Province (Grant no. 2018JJ2025 ), and Scientific Research Fund of Hunan Provincial Education Department (Grant no. 18B442). The authors would like to thank the anonymous reviewers for their insightful comments and valuable suggestions, and the support of the Key Program of National Natural Science Foundation of China (Grant nos. 61133005, 61432005), Natural Science Foundation of Hunan Province (Grant no. 2018JJ2025), and Scientific Research Fund of Hunan Provincial Education Department (Grant no. 18B442).

本校为其他机构

Encryption plays an important role in protecting data, especially data transferred on the Internet. However, encryption is computationally expensive and this leads to high energy costs. Parallel encryption solutions using more CPU/GPU cores can achieve high performance. If we consider energy efficiency to be cost effective using parallel encryption solutions at the same time, this problem can be alleviated effectively. Because many CPU/GPU cores and encryption are pervasive currently, saving energy cost by parallel encrypting has become an unavoidable problem. In this paper, we propose an ener...