Abstract
Aho-Corasick (AC) algorithm is a commonly used string matching algorithm. It performs multiple patterns matching for computer and network security applications. These applications impose high computational requirements, thus efficient parallelization of the AC algorithm is crucial. In this paper, we present a multi-stream based parallelization approach for the string matching using the AC algorithm on the latest Nvidia Kepler architecture. Our approach efficiently utilizes the HyperQ feature of the Kepler GPU so that multiple steams generated from a number of OpenMP threads running on the host multicore processor can be efficiently executed on a large number of fine-grain processing cores of the GPU. Experimental results show that our approach delivers up to 585Gbps throughput performance on Nvidia Tesla K20 GPU.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
