Publication
SCOPES 2016
Conference paper

Scalable DFA compilation for high-performance regular-expression matching

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Abstract

Regular-expression accelerators often rely on sophisticated compilers to fully exploit the available hardware capabilities for achieving wire-speed scan rates of multiple tens of gigabits per second. This paper presents a method for the efficient compilation of pattern-matching functions specified by deterministic finite automata (DFAs) into executable structures targeted at accelerators based on B-FSM programmable state machines. The compilation scheme presented is able to effectively exploit an adaptive compression mechanism to obtain one of the most compact statetransition-table structures in the industry, in combination with fast compilation times. The heuristic-based approach scales to very large DFAs having tens of millions of transitions, while achieving an approximately linear growth of the storage needs as a function of the DFA size.

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Publication

SCOPES 2016

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