Implementations of hardware acceleration for MD4-family algorithms based on GPU

Authors:
Wenchao Zhou;Hongwei Wu;Xiaochao Li;Donghui Guo
Affiliations:
Department of Electronic Engineering, Xiamen University, Fujian, China;Department of Electronic Engineering, Xiamen University, Fujian, China;Department of Electronic Engineering, Xiamen University, Fujian, China;Department of Electronic Engineering, Xiamen University, Fujian, China
Venue:
ASID'09 Proceedings of the 3rd international conference on Anti-Counterfeiting, security, and identification in communication
Year:
2009

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Abstract

The MD4-family algorithms have been widely applied in cryptographic field. Nowadays, it is discovered that MD4- family algorithms are also suitable for random number generators. Since the MD4-family algorithms are computing intensive, they can be accelerated on Graphics Processing Units (GPUs) to generate massive high-quality random numbers. This paper presents acceleration of MD4-family algorithms based on GPU, and the results show that these implementations achieve 100 times speedup over AMD Sempron Processor LE-1200 CPU.