A Digital Compute-in-Memory Architecture for NFA Evaluation (dl.acm.org) AI

The paper proposes a compute-in-memory digital architecture aimed at evaluating nondeterministic finite automata (NFA) more efficiently by performing computation closer to where data is stored, reducing data movement overhead compared with conventional approaches.