This approach improves automata processing performance for pattern-matching in network traffic, highlighting efficiency gains.
Automata processing (AP) is a key kernel in data analytics and scientific computing. AP workloads process a stream of symbols with many automata (FSMs) in parallel, e.g., pattern-matching network traffic against many malicious strings.
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Du et al. (2025) studied this question.
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