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首页> 外文会议>International Conference on Computer, Control, Informatics and its Applications >Performance factors of a CUDA GPU parallel program: A case study on a PDF password cracking brute-force algorithm
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Performance factors of a CUDA GPU parallel program: A case study on a PDF password cracking brute-force algorithm

机译：CUDA GPU并行程序的性能因素：以PDF密码破解蛮力算法为例

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摘要

Brute-force algorithm needs large amount of computational resources. CUDA is one of computing platforms which are suitable to support this algorithm. In this paper, we discussed about 5 factors of which may be affecting a GPU based parallel program performance indicator. We had constructed custom and testbed algorithms to evaluate those factors. Testbed algorithms were constructed based on a previous thesis work regarding PDF password cracking. The final algorithm was constructed from significantly affecting factors. All parallel algorithms were implemented on Tesla C2075. Speedup result of final algorithm implementations are 2.92 for 2 bytes alphanumeric passwords and 4.77 for 6 bytes numeric passwords.
机译：蛮力算法需要大量的计算资源。 CUDA是适合支持该算法的计算平台之一。在本文中，我们讨论了可能影响基于GPU的并行程序性能指标的5个因素。我们已经构建了定制和测试平台算法来评估这些因素。测试床算法是基于先前有关PDF密码破解的论文工作而构建的。最终算法是从显着影响因素构建的。所有并行算法均在Tesla C2075上实现。最终算法实现的加速结果是2字节的字母数字密码为2.92，6字节的数字密码为4.77。

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