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ASPDAC
2007
ACM
144views Hardware» more  ASPDAC 2007»
13 years 8 months ago
Parameter Reduction for Variability Analysis by Slice Inverse Regression (SIR) Method
With semiconductor fabrication technologies scaled below 100 nm, the design-manufacturing interface becomes more and more complicated. The resultant process variability causes a nu...
Alexander V. Mitev, Michael Marefat, Dongsheng Ma,...
DATE
2010
IEEE
163views Hardware» more  DATE 2010»
13 years 9 months ago
A methodology for the characterization of process variation in NoC links
—Associated with the ever growing integration scales is the increase in process variability. In the context of networkon-chip, this variability affects the maximum frequency that...
Carles Hernandez, Federico Silla, José Duat...
ICCAD
2006
IEEE
169views Hardware» more  ICCAD 2006»
14 years 1 months ago
Microarchitecture parameter selection to optimize system performance under process variation
Abstract— Design variability due to within-die and die-todie process variations has the potential to significantly reduce the maximum operating frequency and the effective yield...
Xiaoyao Liang, David Brooks
VLSID
2007
IEEE
149views VLSI» more  VLSID 2007»
14 years 5 months ago
Efficient and Accurate Statistical Timing Analysis for Non-Linear Non-Gaussian Variability With Incremental Attributes
Title of thesis: EFFICIENT AND ACCURATE STATISTICAL TIMING ANALYSIS FOR NON-LINEAR NON-GAUSSIAN VARIABILITY WITH INCREMENTAL ATTRIBUTES Ashish Dobhal, Master of Science, 2006 Thes...
Ashish Dobhal, Vishal Khandelwal, Ankur Srivastava