The emergence of power as a first-class design constraint has fueled the proposal of a growing number of run-time power optimizations. Many of these optimizations trade-off power...
Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...
Shrinking time-to-market and high demand for productivity has driven traditional hardware designers to use design methodologies that start from high-level languages. However, meet...
Ever-increasing integrated circuit (IC) power densities and peak temperatures threaten reliability, performance, and economical cooling. To address these challenges, thermal analy...
Ever shrinking device sizes and innovative micro-architectural and circuit design techniques have made it possible to have multi-million transistor systems running at multi-gigahe...