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» Statistical reliability analysis under process variation and...
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GLVLSI
2006
IEEE
144views VLSI» more  GLVLSI 2006»
14 years 1 months ago
Crosstalk analysis in nanometer technologies
Process variations have become a key concern of circuit designers because of their significant, yet hard to predict impact on performance and signal integrity of VLSI circuits. St...
Shahin Nazarian, Ali Iranli, Massoud Pedram
SIGMOD
2007
ACM
195views Database» more  SIGMOD 2007»
14 years 7 months ago
Effective variation management for pseudo periodical streams
Many database applications require the analysis and processing of data streams. In such systems, huge amounts of data arrive rapidly and their values change over time. The variati...
Lv-an Tang, Bin Cui, Hongyan Li, Gaoshan Miao, Don...
DAC
2006
ACM
14 years 8 months ago
Statistical timing based on incomplete probabilistic descriptions of parameter uncertainty
Existing approaches to timing analysis under uncertainty are based on restrictive assumptions. Statistical STA techniques assume that the full probabilistic distribution of parame...
Wei-Shen Wang, Vladik Kreinovich, Michael Orshansk...
DATE
2010
IEEE
171views Hardware» more  DATE 2010»
14 years 19 days ago
Digital statistical analysis using VHDL
—Variations of process parameters have an important impact on reliability and yield in deep sub micron IC technologies. One methodology to estimate the influence of these effects...
Manfred Dietrich, Uwe Eichler, Joachim Haase
DATE
2007
IEEE
130views Hardware» more  DATE 2007»
14 years 1 months ago
A novel criticality computation method in statistical timing analysis
Abstract— The impact of process variations increases as technology scales to nanometer region. Under large process variations, the path and arc/node criticality [18] provide effe...
Feng Wang 0004, Yuan Xie, Hai Ju