A Digital Compute-in-Memory Architecture for NFA Evaluation
Summary
A research paper proposing a digital compute-in-memory architecture to accelerate NFA evaluation, reducing data movement and energy for automata-based workloads. The approach targets efficient pattern matching and related applications, with potential relevance to AI and security workloads that rely on fast automata processing.