会议论文

Fei, Xiongwei

英文

2019 IEEE INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM WORKSHOPS (IPDPSW)

2164-7062

2019

499-508

33rd IEEE International Parallel and Distributed Processing Symposium (IPDPS)

IEEE International Symposium on Parallel and Distributed Processing Workshops

MAY 20-24, 2019

Rio de Janeiro, BRAZIL

[Fei, Xiongwei;Li, Kenli;Yang, Wangdong] Hunan Univ, Coll Comp Sci & Elect Engn, Changsha, Peoples R China.^[Fei, Xiongwei] Hunan City Univ, Coll Informat & Elect Engn, Yiyang, Peoples R China.^[Li, Keqin] SUNY Coll New Paltz, Dept Comp Sci, New Paltz, NY USA.

IEEE, IEEE Comp Soc

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

978-1-5386-5555-9

10.1109/IPDPSW.2019.00091

Key Program of National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61133005, 61432005]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61370095, 61472124, 61572175]; Natural Science Foundation of Hunan ProvinceNatural Science Foundation of Hunan Province [2018JJ2025]; Scientific Research Fund of Hunan Provincial Education DepartmentHunan Provincial Education Department [18B442]

本校为通讯机构

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...