Implementation of bitsliced AES encryption on CUDA-Enabled GPU

Naoki Nishikawa, Hideharu Amano, Keisuke Iwai

研究成果: Conference contribution

10 被引用数 (Scopus)

抄録

Table-based implementations have been mainly reported in research related to high-performance AES on GPUs, in which tables are stored in the shared memory. On the other hand, this kind of implementations is subject to timing attacks, due to the latency required to access tables in the shared memory. Thanks to the increasing number of registers every year, GPU programming has enabled memory intensive applications such as bitsliced AES algorithm to be easily implemented. However, researches of implementation of bitsliced AES algorithm on GPU have not so far been conducted sufficiently in terms of several parameters. For this reason, in this paper, we present an implementation of bitsliced AES encryption on CUDA-enabled GPU with several parameters, especially focusing on three kinds of parallel processing granularities. According to the conducted experiments, the throughput of bitsliced AES-ECB encryption with Bs64 granularity achieves 605.9 Gbps on Nvidia Tesla P100-PCIe resulting in an enhancement of 8.0% when compared to the table-based implementation.

本文言語English
ホスト出版物のタイトルNetwork and System Security - 11th International Conference, NSS 2017, Proceedings
出版社Springer Verlag
ページ273-287
ページ数15
10394 LNCS
ISBN(印刷版)9783319647005
DOI
出版ステータスPublished - 2017
イベント11th International Conference on Network and System Security, NSS 2017 - Helsinki, Finland
継続期間: 2017 8 212017 8 23

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
10394 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other11th International Conference on Network and System Security, NSS 2017
CountryFinland
CityHelsinki
Period17/8/2117/8/23

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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