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The Cartographer
Trie Compression for GPU Accelerated Multi-Pattern Matching
February 13, 2017 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Xavier Bellekens, Amar Seeam, Christos Tachtatzis, Robert Atkinson
arXiv ID
1702.03657
Category
cs.DS: Data Structures & Algorithms
Cross-listed
cs.DC
Citations
0
Venue
arXiv.org
Last Checked
5 months ago
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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