Learning to Route On-Chip: A Survey of Machine Learning-Based Routing in Networks-on-Chip and Its Hardware Overheads
This survey reviews machine-learning-based NoC routing across a 48-study evidence base, and identifies three recurring gaps: limited scalability beyond small meshes, missing deadlock-freedom guarantees for learned policies, and over-reliance on synthetic traffic.
Bernardo Ibarra Infante, Remberto Sandoval Aréchiga, Víktor Iván Rodríguez Abdalá et al.
· Machine Learning and Knowled... · 0 citations