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DAC
2007
ACM

Compact State Machines for High Performance Pattern Matching

9 years 10 months ago
Compact State Machines for High Performance Pattern Matching
Pattern matching is essential to a wide range of applications such as network intrusion detection, virus scanning, etc. Pattern matching algorithms normally rely on state machines to detect predefined patterns. Recently, parallel pattern matching engines, based on ASICs, FPGAs or network processors, perform matching with multiple state machines. The state migration in the matching procedure incurs intensive memory accesses. Thus, it is critical to minimize the storage of state machines such that they can be fit in on-chip or other fast memory modules to achieve high-speed pattern matching. This paper proposes novel optimization techniques, namely state re-labeling and memory partition, to reduce state machine storage. The paper also presents architectural designs based on the optimization strategy. We evaluate our design using realistic pattern sets, and the results show state machine memory reduction up to 80.1%. Categories and Subject Descriptors C.3 [Special-purpose and Application...
Piti Piyachon, Yan Luo
Added 12 Nov 2009
Updated 12 Nov 2009
Type Conference
Year 2007
Where DAC
Authors Piti Piyachon, Yan Luo
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