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» Monte Carlo Methods for Process Algebra
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GLVLSI
2009
IEEE
143views VLSI» more  GLVLSI 2009»
13 years 11 months ago
Unified P4 (power-performance-process-parasitic) fast optimization of a Nano-CMOS VCO
In this paper, we present the design of a P4 (Power-PerformanceProcess-Parasitic) aware voltage controlled oscillator (VCO) at nanoCMOS technologies. Through simulations, we have ...
Dhruva Ghai, Saraju P. Mohanty, Elias Kougianos
ISLPED
1996
ACM
89views Hardware» more  ISLPED 1996»
13 years 11 months ago
A novel methodology for transistor-level power estimation
Transistlw-level power simulators, which are more accurate than logic-level power estimators, have been popularly used to estimate the power dissipation of CMOS circuits. In thisp...
Shi-Yu Huang, Kwang-Ting Cheng, Kuang-Chien Chen, ...
NECO
2007
108views more  NECO 2007»
13 years 7 months ago
Spike-Frequency Adapting Neural Ensembles: Beyond Mean Adaptation and Renewal Theories
We propose a Markov process model for spike-frequency adapting neural ensembles which synthesizes existing mean-adaptation approaches, population density methods, and inhomogeneou...
Eilif Mueller, Lars Buesing, Johannes Schemmel, Ka...
ICCD
2006
IEEE
157views Hardware» more  ICCD 2006»
14 years 4 months ago
Statistical Analysis of Power Grid Networks Considering Lognormal Leakage Current Variations with Spatial Correlation
— As the technology scales into 90nm and below, process-induced variations become more pronounced. In this paper, we propose an efficient stochastic method for analyzing the vol...
Ning Mi, Jeffrey Fan, Sheldon X.-D. Tan
CVPR
2005
IEEE
14 years 9 months ago
MosaicShape: Stochastic Region Grouping with Shape Prior
A method that combines shape-based object recognition and image segmentation is proposed for shape retrieval from images. Given a shape prior represented in a multiscale curvature...
Jingbin Wang, Erdan Gu, Margrit Betke