Abstract
The ease of programming offered by the CUDA programming model attracted a lot of programmers to try the platform for acceleration of many non-graphics applications. Cryptography, being no exception, also found its share of exploration efforts, especially block ciphers. In this contribution we present a detailed walk-through of effective mapping of HC-128 and HC-256 stream ciphers on GPUs. Due to inherent inter-S-Box dependencies, intra-S-Box dependencies and a high number of memory accesses per keystream word generation, parallelization of HC series of stream ciphers remains challenging. For the first time, we present various optimization strategies for HC-128 and HC-256 speedup in tune with CUDA device architecture. The peak performance achieved with a single data-stream for HC-128 and HC-256 is 0.95 Gbps and 0.41 Gbps respectively. Although these throughput figures do not beat the CPU performance (10.9 Gbps for HC-128 and 7.5 Gbps for HC-256), our multiple parallel data-stream implementation is benchmarked to reach approximately 31 Gbps for HC-128 and 14 Gbps for HC-256 (with 32768 parallel data-streams). To the best of our knowledge, this is the first reported effort of mapping HC-Series of stream ciphers on GPUs.
This work was done in part while the second author was a summer intern and the third author was an Alexander von Humboldt Fellow at RWTH Aachen, Germany.
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Khalid, A., Bagchi, D., Paul, G., Chattopadhyay, A. (2013). Optimized GPU Implementation and Performance Analysis of HC Series of Stream Ciphers. In: Kwon, T., Lee, MK., Kwon, D. (eds) Information Security and Cryptology – ICISC 2012. ICISC 2012. Lecture Notes in Computer Science, vol 7839. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37682-5_21
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DOI: https://doi.org/10.1007/978-3-642-37682-5_21
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