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» Performance modeling using Monte Carlo simulation
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ICCAD
2004
IEEE
145views Hardware» more  ICCAD 2004»
15 years 8 months ago
Asymptotic probability extraction for non-normal distributions of circuit performance
While process variations are becoming more significant with each new IC technology generation, they are often modeled via linear regression models so that the resulting performanc...
Xin Li, Jiayong Le, Padmini Gopalakrishnan, Lawren...
PKDD
2000
Springer
108views Data Mining» more  PKDD 2000»
15 years 3 months ago
Application of Reinforcement Learning to Electrical Power System Closed-Loop Emergency Control
This paper investigates the use of reinforcement learning in electric power system emergency control. The approach consists of using numerical simulations together with on-policy M...
Christophe Druet, Damien Ernst, Louis Wehenkel
FOCS
1999
IEEE
15 years 4 months ago
Torpid Mixing of Some Monte Carlo Markov Chain Algorithms in Statistical Physics
We study two widely used algorithms, Glauber dynamics and the Swendsen-Wang algorithm, on rectangular subsets of the hypercubic lattice
Christian Borgs, Jennifer T. Chayes, Alan M. Friez...
ISQED
2007
IEEE
151views Hardware» more  ISQED 2007»
15 years 6 months ago
Gate Level Statistical Simulation Based on Parameterized Models for Process and Signal Variations
We propose gate level statistical simulation to bridge the gap between the most accurate Monte Carlo SPICE simulation and the most efficient circuit level statistical static timi...
Bao Liu
TSP
2008
91views more  TSP 2008»
14 years 11 months ago
A Sequential Monte Carlo Method for Motif Discovery
We propose a sequential Monte Carlo (SMC)-based motif discovery algorithm that can efficiently detect motifs in datasets containing a large number of sequences. The statistical di...
Kuo-ching Liang, Xiaodong Wang, Dimitris Anastassi...