Fast Parallel Network Packet Filter System based on CUDA

C. Hung, Shih-Wei Guo
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引用次数: 5

Abstract

In recent years, with the rapid development of the network hardware and software, the network speed is enhanced to multi-gigabit. Network packet filtering is an important strategy of network security to avoid malicious attacks, and it is a computation-consuming application. Therefore, we develop two efficient GPGPU-based parallel packet classification approaches to filter packets by leveraging thousands of threads. The experiment results demonstrate that the computational efficiency of filtering packet can be significantly enhanced by using GPGPU.
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基于CUDA的快速并行网络包过滤系统
近年来,随着网络硬件和软件的飞速发展,网络速度已提升到千兆级。网络包过滤是网络安全防范恶意攻击的重要策略,也是一种计算量较大的应用。因此,我们开发了两种高效的基于gpgpu的并行数据包分类方法,利用数千个线程来过滤数据包。实验结果表明,使用GPGPU可以显著提高包过滤的计算效率。
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