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arXiv · 1702.03657

Trie Compression for GPU Accelerated Multi-Pattern Matching

Xavier Bellekens·Amar Seeam·Christos Tachtatzis·Robert Atkinson
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Abstract

Graphics Processing Units allow for running massively parallel applications offloading the CPU from computationally intensive resources, however GPUs have a limited amount of memory. In this paper a trie compression algorithm for massively parallel pattern matching is presented demonstrating 85% less space requirements than the original highly efficient parallel failure-less aho-corasick, whilst demonstrating over 22 Gbps throughput. The algorithm presented takes advantage of compressed row storage matrices as well as shared and texture memory on the GPU.

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Xavier Bellekens, Amar Seeam, Christos Tachtatzis, Robert Atkinson. 2017-02-13. Trie Compression for GPU Accelerated Multi-Pattern Matching. https://arxiv.org/abs/1702.03657

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