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» Parametric yield estimation considering leakage variability
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DAGM
2010
Springer
13 years 6 months ago
Gaussian Mixture Modeling with Gaussian Process Latent Variable Models
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
Hannes Nickisch, Carl Edward Rasmussen
ASPDAC
2007
ACM
86views Hardware» more  ASPDAC 2007»
13 years 9 months ago
Fast Buffered Delay Estimation Considering Process Variations
- Advanced process technologies impose more significant challenges especially when manufactured circuits exhibit substantial process variations. Consideration of process variations...
Tien-Ting Fang, Ting-Chi Wang
TCAD
2008
118views more  TCAD 2008»
13 years 5 months ago
Variability-Aware Bulk-MOS Device Design
As CMOS technology is scaled down toward the nanoscale regime, drastically growing leakage currents and variations in device characteristics are becoming two important design chall...
Javid Jaffari, Mohab Anis
VLSID
2009
IEEE
155views VLSI» more  VLSID 2009»
14 years 6 months ago
Unified Challenges in Nano-CMOS High-Level Synthesis
: The challenges in nano-CMOS circuit design include the following: variability, leakage, power, thermals, reliability, and yield. This talk will focus on interdependent considerat...
Saraju P. Mohanty
MA
2010
Springer
94views Communications» more  MA 2010»
13 years 4 months ago
On sparse estimation for semiparametric linear transformation models
: Semiparametric linear transformation models have received much attention due to its high flexibility in modeling survival data. A useful estimating equation procedure was recent...
Hao Helen Zhang, Wenbin Lu, Hansheng Wang