Efficient GPGPU-based parallel packet classification

Che-Lun Hung, Yaw-Ling Lin, Kuan-Ching Li, Hsiao-Hsi Wang, Shih-Wei Guo
Department of Computer Science and Communication Engineering, Providence University, Taichung, Taiwan
The 6th International Conference on Frontier of Computer Science and Technology (FCST-11), 2011


   title={Efficient GPGPU-based parallel packet classification},

   author={Hung, C.L. and Wang, H.H. and Guo, S.W.},



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With the rapid growth of network technologies, many new web services have been developed to provide various applications and computing functions. These services rely deeply on the internet. Therefore, packet classification is an important issue of network security that typically adopts a flexible packet filtering system to classify each processed packet. Traditional packet classification requires hung computing time to process large amount of internet packets. Hence, we propose a GPGPU-based parallel packet classification method to decrease the computational cost. We also evaluate the performance of the proposed method with implementation on various memory architectures of CUDA device. The experiment results demonstrate that the proposed method can achieve significant speed up over the sequential packet classification algorithms on single CPU.
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