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» Monte Carlo simulation approach to stochastic programming
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DAC
2005
ACM
16 years 7 months ago
Robust gate sizing by geometric programming
We present an efficient optimization scheme for gate sizing in the presence of process variations. Using a posynomial delay model, the delay constraints are modified to incorporat...
Jaskirat Singh, Vidyasagar Nookala, Zhi-Quan Luo, ...
ECML
2006
Springer
15 years 9 months ago
Bayesian Active Learning for Sensitivity Analysis
Abstract. Designs of micro electro-mechanical devices need to be robust against fluctuations in mass production. Computer experiments with tens of parameters are used to explore th...
Tobias Pfingsten
FCCM
2008
IEEE
212views VLSI» more  FCCM 2008»
16 years 14 days ago
Map-reduce as a Programming Model for Custom Computing Machines
The map-reduce model requires users to express their problem in terms of a map function that processes single records in a stream, and a reduce function that merges all mapped out...
Jackson H. C. Yeung, C. C. Tsang, Kuen Hung Tsoi, ...
DAC
2007
ACM
16 years 7 months ago
PV-PPV: Parameter Variability Aware, Automatically Extracted, Nonlinear Time-Shifted Oscillator Macromodels
Abstract-- The PPV is a robust phase domain macromodel for oscillators. It has been proven to predict oscillators' responses correctly under small signal perturbations, and ca...
Zhichun Wang, Xiaolue Lai, Jaijeet S. Roychowdhury
ICASSP
2010
IEEE
15 years 6 months ago
A robust minimum volume enclosing simplex algorithm for hyperspectral unmixing
Hyperspectral unmixing is a process of extracting hidden spectral signatures (or endmembers) and the corresponding proportions (or abundances) of a scene, from its hyperspectral o...
Arul-Murugan Ambikapathi, Tsung-Han Chan, Wing-Kin...