Reinforcement Learning–Driven Task‐to‐Core Mapping and Adaptive Urgency‐Score Scheduling for Real time Multi-core Systems
As multi-core processors scale to tens or hundreds of cores, efficiently mapping dynamic application workloads becomes critical to avoid thermal hotspots, energy waste, and deadline violations. Conventional static or heuristic mapping schemes fall short under run-time variability in task sizes, thermal coupling, and lo...