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» Model Order Reduction for Nonlinear IC Models
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CDC
2009
IEEE
185views Control Systems» more  CDC 2009»
14 years 12 days ago
Discrete Empirical Interpolation for nonlinear model reduction
A dimension reduction method called Discrete Empirical Interpolation (DEIM) is proposed and shown to dramatically reduce the computational complexity of the popular Proper Orthogo...
Saifon Chaturantabut, Danny C. Sorensen
ISLPED
2006
ACM
99views Hardware» more  ISLPED 2006»
14 years 1 months ago
Thermal via allocation for 3D ICs considering temporally and spatially variant thermal power
All existing methods for thermal-via allocation are based on a steady-state thermal analysis and may lead to excessive number of thermal vias. This paper develops an accurate and ...
Hao Yu, Yiyu Shi, Lei He, Tanay Karnik
ICS
1999
Tsinghua U.
13 years 12 months ago
Nonlinear array layouts for hierarchical memory systems
Programming languages that provide multidimensional arrays and a flat linear model of memory must implement a mapping between these two domains to order array elements in memory....
Siddhartha Chatterjee, Vibhor V. Jain, Alvin R. Le...
SIAMADS
2010
105views more  SIAMADS 2010»
13 years 2 months ago
Model Reduction of the Nonlinear Complex Ginzburg-Landau Equation
Reduced-order models of the nonlinear complex Ginzburg
Milos Ilak, Shervin Bagheri, Luca Brandt, Clarence...
DAC
2007
ACM
14 years 8 months ago
Beyond Low-Order Statistical Response Surfaces: Latent Variable Regression for Efficient, Highly Nonlinear Fitting
The number and magnitude of process variation sources are increasing as we scale further into the nano regime. Today's most successful response surface methods limit us to lo...
Amith Singhee, Rob A. Rutenbar