In this paper, we propose an approach for the analysis of power supply noise in the frequency domain for power/ground (P/G) networks of tree topologies. We model the P/G network a...
Abstract. We advocate to analyze the average complexity of learning problems. An appropriate framework for this purpose is introduced. Based on it we consider the problem of learni...
We provide a general framework for learning precise, compact, and fast representations of the Bayesian predictive distribution for a model. This framework is based on minimizing t...
Recent advances on language based software toolkit generation enables performance driven exploration of embedded systems by exploiting the application behavior. There is a need fo...
Research in high-speed interconnect requires physical test to validate circuit models and design assumptions. At multi-Gbit/sec rates, physical implementations require custom circ...