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» A methodology for the characterization of process variation ...
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ISCI
2000
84views more  ISCI 2000»
13 years 7 months ago
Automating the approximate record-matching process
Data Quality has many dimensions one of which is accuracy. Accuracy is usually compromised by errors accidentally or intensionally introduced in a database system. These errors re...
Vassilios S. Verykios, Ahmed K. Elmagarmid, Elias ...
ICCD
2007
IEEE
111views Hardware» more  ICCD 2007»
14 years 4 months ago
On modeling impact of sub-wavelength lithography on transistors
As the VLSI technology marches beyond 65 and 45nm process technologies, variation in gate length has a direct impact on leakage and performance of CMOS transistors. Due to sub-wav...
Aswin Sreedhar, Sandip Kundu
DAC
2010
ACM
13 years 8 months ago
QuickYield: an efficient global-search based parametric yield estimation with performance constraints
With technology scaling down to 90nm and below, many yield-driven design and optimization methodologies have been proposed to cope with the prominent process variation and to incr...
Fang Gong, Hao Yu, Yiyu Shi, Daesoo Kim, Junyan Re...
BMCBI
2008
149views more  BMCBI 2008»
13 years 6 months ago
MD-SeeGH: a platform for integrative analysis of multi-dimensional genomic data
Background: Recent advances in global genomic profiling methodologies have enabled multidimensional characterization of biological systems. Complete analysis of these genomic prof...
Bryan Chi, Ronald J. deLeeuw, Bradley P. Coe, Raym...
DATE
2010
IEEE
171views Hardware» more  DATE 2010»
14 years 1 months 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