Cited by 307Cryptographic Implementations and SecurityParallel Computing and Optimization TechniquesCryptography and Residue Arithmetic

CUDA Compatible GPU as an Efficient Hardware Accelerator for AES Cryptography

Manavski, Svetlin A.·2007·2007 IEEE International Conference on Signal Processing and Communications

Abstract

This paper presents a study of the efficiency in applying modern graphics processing units in symmetric key cryptographic solutions. It describes both traditional style approaches based on the OpenGL graphics API and new ones based on the recent technology trends of major hardware vendors. It presents an efficient implementation of the advanced encryption standard (AES) algorithm in the novel CUDA platform by Nvidia. AES is currently the most widely adopted modern symmetric key encryption standard. The performance of the new fastest GPU solution is compared with those of the reference sequential implementations running on an Intel Pentium IV 3.0 GHz CPU. Unlike previous research in this field, the results of this effort show for the first time the GPU can perform as an efficient cryptographic accelerator. The developed solutions run up to 20 times faster than OpenSSL and in the same range of performance of existing hardware based implementations.

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Crossref · 10.1109/icspc.2007.4728256

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References 10 · Cited by 307

Authors
Manavski, S. A.
Corresponding author
Manavski, Svetlin A.
Venue
2007 IEEE International Conference on Signal Processing and Communications
Publisher
IEEE
Published
2007
Pages
65-68
OpenAlex
W2536495848
Cited by
307
References
10
Citations by year
2026: 5 · 2025: 5 · 2024: 2 · 2023: 6 · 2022: 9 · 2021: 12 · 2020: 11 · 2019: 20 · 2018: 15 · 2017: 13 · 2016: 21 · 2015: 20 · 2014: 20 · 2013: 28 · 2012: 38
FWCI
11.05
Type
conference paper
Language
en
Open access
closed
Locations
International Conference on Signal Processing and Communications (SPCOM) (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, GPU acceleration, CUDA, symmetric encryption, OpenGL, CPU vs GPU performance comparison

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