Computer systems with discrete GPUs are expected to become the standard methodology for high-speed encryption processing, but they require large amounts of power consumption and are inapplicable to embedded devices. Therefore, we have specifically examined a new heterogeneous multicore processor with CPU-GPU integration architecture. We first implemented three 128-bit block ciphers (AES, Camellia, and SC2000) from several symmetric block ciphers in an e-government recommended ciphers list by CRYPTREC in Japan using OpenCL on AMD E-350 APU with CPU-GPU integration architecture and two traditional systems with discrete GPUs. Then we evaluated their respective power efficiencies. Result showed that performance per watt of AES-128 on the APU including 80 cores were 743.0 Mbps/W and 44.0 % increases compared with those on a system equipped with a discrete AMD Radeon HD 6770 including 800 cores. This paper is the first to describe a study to evaluate the per-watt performance of block ciphers on GPUs. © 2012 Springer-Verlag.
CITATION STYLE
Nishikawa, N., Iwai, K., & Kurokawa, T. (2012). Power efficiency evaluation of block ciphers on GPU-integrated multicore processor. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7439 LNCS, pp. 347–361). https://doi.org/10.1007/978-3-642-33078-0_25
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