GPU-Accelerated Montgomery Exponentiation

The computing power and programmability of graphics processing units (GPUs) has been successfully exploited for calculations unrelated to graphics, such as data processing, numerical algorithms, and secret key cryptography. In this paper, a new variant of the Montgomery exponentiation algorithm that exploits the processing power and parallelism of GPUs is designed and implemented. Furthermore, performance tests are conducted and the suitability of the proposed algorithm for accelerating public key encryption is discussed.

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