We present a neural-network-based statistical parser, trained and tested on the Penn Treebank. The neural network is used to estimate the parameters of a generative model of left-...
The improved T and improved n models are proposed for onchip interconnect macromodeling. Using global approximations, simple approximation frames are derived and applied to modeli...
Abstract – In this paper, we propose a modeling approach for the average power consumption of macro-blocks that are typically used in digital signal processing (DSP) systems, suc...
—Dynamic voltage scaling (DVS) provides power savings for systems with varying performance requirements. One low overhead implementation of DVS uses PMOS power switches to connec...
Liang Di, Mateja Putic, John Lach, Benton H. Calho...
This paper presents our work on the static task scheduling model using the mean-field annealing (MFA) technique. Mean-field annealing is a technique of thermostatic annealing that...