Workload-aware timing error prediction and mitigation via lightweight neural networks and algorithm-architecture co-design.
The rapid advent of internet of things (IoT) and smart edge–cloud infrastructures has intensified the demand for miniature embedded devices that meet tight power and performance constraints under dynamically changing conditions. While technology scaling and lower supply voltages have enabled ever-smaller, low-power sys...