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ICCAD
2007
IEEE
134views Hardware» more  ICCAD 2007»
13 years 11 months ago
Efficient decoupling capacitance budgeting considering operation and process variations
This paper solves the variation-aware on-chip decoupling capacitance (decap) budgeting problem. Unlike previous work assuming the worst-case current load, we develop a novel stocha...
Yiyu Shi, Jinjun Xiong, Chunchen Liu, Lei He
AAAI
2011
12 years 8 months ago
Sparse Matrix-Variate t Process Blockmodels
We consider the problem of modeling network interactions and identifying latent groups of network nodes. This problem is challenging due to the facts i) that the network nodes are...
Zenglin Xu, Feng Yan, Yuan Qi
3DPVT
2006
IEEE
216views Visualization» more  3DPVT 2006»
14 years 1 months ago
Shape Measure for Identifying Perceptually Informative Parts of 3D Objects
We propose a mathematical approach for quantifying shape complexity of 3D surfaces based on perceptual principles of visual saliency. Our curvature variation measure (CVM), as a 3...
Sreenivas R. Sukumar, David Page, Andrei V. Gribok...
WSC
2004
13 years 9 months ago
Automated Response Surface Methodology for Stochastic Optimization Models with Unknown Variance
Response Surface Methodology (RSM) is an optimization tool that was introduced in the early 50
Robin P. Nicolai, Rommert Dekker, Nanda Piersma, G...
DATE
2009
IEEE
113views Hardware» more  DATE 2009»
14 years 2 months ago
New simulation methodology of 3D surface roughness loss for interconnects modeling
— As clock frequencies exceed giga-Hertz, the extra power loss due to conductor surface roughness in interconnects and packagings is more evident and thus demands a proper accou...
Quan Chen, Ngai Wong