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- W2016587141 abstract "Dictionary matching is a commonly used operation in Information Extraction (IE) systems. It involves matching a set of strings in a document against a dictionary of pre-defined patterns. In this paper, we describe a high performance and scalable hardware architecture to enable high throughput dictionary matching on very large dictionaries for text analytics applications. Our hardware accelerator employs a novel hashing based approach instead of commonly used deterministic finite automata (DFA) based algorithms. A limitation of the DFA based approaches is that they typically process one character every cycle, while the proposed hash based scheme can process a string token every cycle, thus achieving significantly higher processing throughput than the DFA based implementations. Our measurement results based on a prototype implementation on an Altera Stratix IV FPGA device indicate that our hardware dictionary matching engine can process typical document streams at a processing rate of ~1.5GB/s (~12 Gbps) while simultaneously allowing support for large dictionary sizes containing up to ~100K patterns, thus making it very useful for IE workload acceleration." @default.
- W2016587141 created "2016-06-24" @default.
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- W2016587141 date "2013-06-01" @default.
- W2016587141 modified "2023-09-26" @default.
- W2016587141 title "A high-speed and large-scale dictionary matching engine for Information Extraction systems" @default.
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- W2016587141 doi "https://doi.org/10.1109/asap.2013.6567551" @default.
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