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» Optimizing efficiency of perturbative Monte Carlo method
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71
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DAC
2004
ACM
15 years 10 months ago
Statistical optimization of leakage power considering process variations using dual-Vth and sizing
timing analysis tools to replace standard deterministic static timing analyzers whereas [8,27] develop approaches for the statistical estimation of leakage power considering within...
Ashish Srivastava, Dennis Sylvester, David Blaauw
TVLSI
2008
176views more  TVLSI 2008»
14 years 9 months ago
A Fuzzy Optimization Approach for Variation Aware Power Minimization During Gate Sizing
Abstract--Technology scaling in the nanometer era has increased the transistor's susceptibility to process variations. The effects of such variations are having a huge impact ...
Venkataraman Mahalingam, N. Ranganathan, J. E. Har...
69
Voted
DAC
2009
ACM
15 years 4 months ago
Variational capacitance extraction of on-chip interconnects based on continuous surface model
In this paper we present a continuous surface model to describe the interconnect geometric variation, which improves the currently used model for better accuracy while not increas...
Wenjian Yu, Chao Hu, Wangyang Zhang
TWC
2010
14 years 4 months ago
Distributed Multicell-MISO Precoding Using the Layered Virtual SINR Framework
In this letter, we address the problem of distributed multi-antenna cooperative transmission in a cellular system. Most research in this area has so far assumed that base stations ...
Randa Zakhour, David Gesbert
AE
2005
Springer
15 years 3 months ago
Algorithms (X, sigma, eta): Quasi-random Mutations for Evolution Strategies
Randomization is an efficient tool for global optimization. We here define a method which keeps : – the order 0 of evolutionary algorithms (no gradient) ; – the stochastic as...
Anne Auger, Mohamed Jebalia, Olivier Teytaud