Cited by 42Cryptographic Implementations and SecurityParallel Computing and Optimization TechniquesCryptography and Residue Arithmetic

Implementation of Bitsliced AES Encryption on CUDA-Enabled GPU

Nishikawa, Naoki, Amano, Hideharu, Iwai, Keisuke·2017·Lecture Notes in Computer Science

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Crossref · 10.1007/978-3-319-64701-2_20

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  • Another AES implementation in [30] reaches 74.73 GB/s on a Tesla P100 GPU, corresponding to approximately 11% of its memory bandwidth.

    “Another AES implementation with notable throughput is presented in [30], reaching a throughput of 74.73 GB/s on a Tesla P100 GPU, with a memory bandwidth of 733.3 GB, hence the throughput corresponds to approximately 11% of the memory bandwidth.”
  • The proposed cipher's throughput corresponds to approximately 28% of the memory bandwidth on a Tesla V100 GPU, whereas the AES implementation of [30] corresponds to approximately 11% of the memory bandwidth on a Tesla P100 GPU.

    “We achieved a throughput of 251.6 GB/s with a memory bandwidth of 900 GB, i.e., a throughput of approximately 28% of the memory bandwidth, which further demonstrates the superior performance of our approach.”

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Authors
Nishikawa, N., Amano, H., & Iwai, K.
Affiliations
  • Keio University (JP)
  • National Defense Academy of Japan (JP)
Corresponding author
Nishikawa, Naoki
Venue
Lecture Notes in Computer Science
Published
2017
Pages
273-287
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
OpenAlex
W2737356556
Cited by
42
References
0
Citations by year
2026: 3 · 2025: 3 · 2024: 5 · 2023: 5 · 2022: 4 · 2021: 9 · 2020: 7 · 2019: 2 · 2018: 3 · 2017: 1
FWCI
1.62
Type
conference paper
Language
en
Open access
closed
Locations
Lecture notes in computer science (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Cryptographic Implementations and Security
  • Physical Sciences › Computer Science › Hardware and Architecture › Parallel Computing and Optimization Techniques
  • Physical Sciences › Computer Science › Information Systems › Cryptography and Residue Arithmetic
Keywords
AES encryption, GPU acceleration, CUDA, timing attacks, shared memory, throughput

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