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Joy of GPU Computing: A Performance Comparison of AES and RSA in GPU and CPU

机译：GPU计算的快乐：GPU和CPU中AES和RSA的性能比较

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摘要

The impact of social media evolution has led to the development of big data where the two Vs, volume of data handled and velocity of data retrieval, have grown exponentially. The volume of data being handled has reached the level of terabyte's and even exabyte's. On other hand, the velocity of data retrieval has also matured through the fourth- and fifth-generation Web. To cope up this fastest-growing generation, the processing units also have been improved. The challenge lies in the secured transmission of data at a high speed irrespective of its size. Encryption and decryption are a time-consuming process in a general-purpose computer. The capability of graphical processing units (GPUs) has been proven for general-purpose computing in many research areas. With the computation capability of GPU, fast encryption and decryption could be achieved. In this paper, GPU-based symmetric and public encryption algorithms are proposed to render high performance. The performance analysis is performed based on the execution time of two security algorithms RSA and AES in normal computing platform, central processing unit (CPU) and GPU platform. The parallel versions of the RSA and AES are written in CUDA C. Results show that the performance of the encryption algorithm has greatly increased by using GPU computing.
机译：社交媒体演化的影响导致了大数据的发展，其中两个与数据检索的数据量和数据速度，已经指数增长。处理的数据量已达到Terabyte甚至Exabyte的水平。另一方面，数据检索的速度也通过第四代和第五代网络成熟。为了应对这种增长最快的一代，处理单元也得到了改善。不管其尺寸，挑战在于高速安全传输数据。加密和解密是通用计算机中的耗时过程。图形处理单元（GPU）的能力已被证明在许多研究领域的通用计算中被证明。随着GPU的计算能力，可以实现快速加密和解密。在本文中，提出了基于GPU的对称和公共加密算法来呈现高性能。基于正常计算平台，中央处理单元（CPU）和GPU平台中的两个安全算法RSA和AES的执行时间来执行性能分析。 RSA和AES的并行版本在CUDA C中写入。结果表明，通过使用GPU计算，加密算法的性能大大增加。

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