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» Performance modeling using Monte Carlo simulation
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CCE
2010
14 years 9 months ago
Multi-scale methods and complex processes: A survey and look ahead
AbstrAct A comprehensive overview of numerical methodologies currently available for analyzing and building understanding of complex processes is presented. Both equation-free and ...
Angelo Lucia
84
Voted
ICC
2009
IEEE
116views Communications» more  ICC 2009»
15 years 6 months ago
Markov Chain Monte Carlo Detection Methods for High SNR Regimes
—Statistical detectors that are based on Markov chain Monte Carlo (MCMC) simulators have emerged as promising low-complexity solutions to both multiple-input multipleoutput (MIMO...
Salam Akoum, Ronghui Peng, Rong-Rong Chen, Behrouz...
DAC
2005
ACM
15 years 1 months ago
Power grid simulation via efficient sampling-based sensitivity analysis and hierarchical symbolic relaxation
On-chip supply networks are playing an increasingly important role for modern nanometer-scale designs. However, the ever growing sizes of power grids make the analysis problem ext...
Peng Li
WSC
1997
15 years 1 months ago
Descriptive Sampling: An Improvement over Latin Hypercube Sampling
Descriptive Sampling (DS), a Monte Carlo sampling technique based on a deterministic selection of the input values and their random permutation, represents a deep conceptual chang...
Eduardo Saliby
ASPDAC
2000
ACM
154views Hardware» more  ASPDAC 2000»
15 years 4 months ago
Dynamic weighting Monte Carlo for constrained floorplan designs in mixed signal application
Simulated annealing has been one of the most popular stochastic optimization methods used in the VLSI CAD field in the past two decades for handling NP-hard optimization problems...
Jason Cong, Tianming Kong, Faming Liang, Jun S. Li...