Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
Deterministic gate delay models have been widely used to find the transition probabilities at the nodes of a circuit for calculating the power dissipation. However, with progress...
— This paper presents a method for correct-by-construction microarchitectural pipelining that handles cyclic systems with dependencies between iterations. Our method combines pre...
Timothy Kam, Michael Kishinevsky, Jordi Cortadella...
Increasing effects of fabrication variability have inspired a growing interest in statistical techniques for design optimization. In this work, we propose a Monte-Carlo driven sto...
Abstract—Interconnects (wires, buffers, clock distribution networks, multiplexers and busses) consume a significant fraction of total circuit power. In this work, we demonstrat...