Víctor Gayoso Martínez , Luis Hernández Encinas , Agustín Martín Muñoz , Óscar Martínez Graullera , Javier Rodrigo Villazón Terrazas
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 multithreading implementations, using as an example of computation a bruteforce 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.
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