Developed initially for tasks related to computer graphics, GPUs are increasingly being used for general purpose processing, including scientific and engineering applications. In this contribution, we have analysed the performance of three graphics cards that belong to the parallel computing CUDA platform with two C++ and Java multi-threading implementations, using as an example of computation a brute-force attack on KeeLoq, one of the best known remote keyless entry applications. As it was expected, these implementations are not able to break algorithms with 64-bit keys, but the results allow us to provide valuable information regarding the compared capabilities of the tested platforms.
Acknowledgements
This work has been supported by the Eruopean Union FEDER funds distributed through Ministerio de Economía y Competitividad (Spain) under the project TIN2014-55325-CD-1-R (ProCriCis), and through Comunidad de Madrid (Spain) under the project S2013/ICE-3095-CM (CIBERDINE).
