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» Monte Carlo Methods for Process Algebra
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GLVLSI
2009
IEEE
143views VLSI» more  GLVLSI 2009»
15 years 1 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»
15 years 1 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»
14 years 9 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»
15 years 6 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
15 years 11 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