Abstract— String matching is the most computation-intensive process in many applications, such as network intrusion detection system, web searching and biological matching. The Aho-Corasick algorithm is the most popular string matching algorithm because of its ability to use one thread to match all patterns in parallel. In our previous work, we propose a string matching algorithm called Parallel Failureless Aho-Corasick algorithm to parallelize the traditional Aho-Corasick algorithm by adopting multiple threads on graphic processing units. Due to the advancing technology of multi-core processors, in this paper, we accelerate the Parallel Failureless Aho-Corasick algorithm on multi-core processors using multi-threaded implementation. Experimental results show that for processing large scale of inputs and patterns, the Parallel Failureless Aho-Corasick algorithm performing on multi-core processors delivers throughput up to 33 Gbps, 4 times faster than the traditional multi-threaded Aho-Corasick algorithm. Both the performance and scalability of the Parallel Failureless Aho-Corasick algorithm is improved on multi-core processors.
Keywords— string matching, parallel processing, Aho-Corasick, multi-core.
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