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QEST
2010
IEEE
13 years 8 months ago
Transient Analysis of Generalised Semi-Markov Processes Using Transient Stochastic State Classes
The method of stochastic state classes approaches the analysis of Generalised Semi Markov Processes (GSMP) through symbolic derivation of probability density functions over Differe...
András Horváth, Lorenzo Ridi, Enrico...
DATE
2005
IEEE
115views Hardware» more  DATE 2005»
14 years 4 months ago
Stochastic Power Grid Analysis Considering Process Variations
In this paper, we investigate the impact of interconnect and device process variations on voltage fluctuations in power grids. We consider random variations in the power grid’s...
Praveen Ghanta, Sarma B. K. Vrudhula, Rajendran Pa...
DAC
2009
ACM
14 years 5 months ago
PiCAP: a parallel and incremental capacitance extraction considering stochastic process variation
It is unknown how to include stochastic process variation into fast-multipole-method (FMM) for a full chip capacitance extraction. This paper presents a parallel FMM extraction us...
Fang Gong, Hao Yu, Lei He
PE
2010
Springer
123views Optimization» more  PE 2010»
13 years 5 months ago
Evaluating fluid semantics for passive stochastic process algebra cooperation
Fluid modelling is a next-generation technique for analysing massive performance models. Passive cooperation is a popular cooperation mechanism frequently used by performance engi...
Richard A. Hayden, Jeremy T. Bradley
CSDA
2006
85views more  CSDA 2006»
13 years 11 months ago
Detecting change-points in multidimensional stochastic processes
A general test statistic for detecting change-points in multidimensional stochastic processes with unknown parameters is proposed. The test statistic is specialized to the case of...
Jan G. De Gooijer