The continuous scaling of physical dimensions has strongly increased circuit performance variability and the traditional corner-case methodology is becoming unreliable. As a consequence, there is an urgent need for new and more accurate statistical models. In this scenario, the purpose of this paper is twofold: 1) to give the reader the basic concepts of statistical modeling, and 2) to discuss a viable statistical approach that could be adopted into a traditional IC design flow for the next technology generations
In the manufacturing of VLSI circuits, engineering designs should take into consideration random var...
In the manufacturing of VLSI circuits, engineering designs should take into consideration random var...
In the manufacturing of VLSI circuits, engineering designs should take into consideration random var...
The continuous scaling of physical dimensions has strongly increased circuit performance variability...
The continuous scaling of physical dimensions has strongly increased circuit performance variabilit...
Many methods for the statistical design and analysis of integrated circuits have been proposed over ...
Many methods for the statistical design and analysis of integrated circuits have been proposed over ...
Vita.The objective of this dissertation is to develop new and efficient methodologies for statistica...
Since process variation and chip performance uncertainties have become more pronounced as technologi...
Vita.This dissertation deals with both theoretical and practical aspects of integrated circuits (IC'...
The scaling of MOSFETs has improved performance and lowered the cost per function of CMOS integrated...
This paper presents a methodology for statistical worst-case simulation using the BSIM3v3 model with...
Statistical analysis is generally seen as the next EDA technology for timing and power sign-off. Res...
Variability continues to pose challenges to integrated circuit design. With statistical static timin...
Statistical analysis is generally seen as the next EDA technology for timing and power sign-off. Res...
In the manufacturing of VLSI circuits, engineering designs should take into consideration random var...
In the manufacturing of VLSI circuits, engineering designs should take into consideration random var...
In the manufacturing of VLSI circuits, engineering designs should take into consideration random var...
The continuous scaling of physical dimensions has strongly increased circuit performance variability...
The continuous scaling of physical dimensions has strongly increased circuit performance variabilit...
Many methods for the statistical design and analysis of integrated circuits have been proposed over ...
Many methods for the statistical design and analysis of integrated circuits have been proposed over ...
Vita.The objective of this dissertation is to develop new and efficient methodologies for statistica...
Since process variation and chip performance uncertainties have become more pronounced as technologi...
Vita.This dissertation deals with both theoretical and practical aspects of integrated circuits (IC'...
The scaling of MOSFETs has improved performance and lowered the cost per function of CMOS integrated...
This paper presents a methodology for statistical worst-case simulation using the BSIM3v3 model with...
Statistical analysis is generally seen as the next EDA technology for timing and power sign-off. Res...
Variability continues to pose challenges to integrated circuit design. With statistical static timin...
Statistical analysis is generally seen as the next EDA technology for timing and power sign-off. Res...
In the manufacturing of VLSI circuits, engineering designs should take into consideration random var...
In the manufacturing of VLSI circuits, engineering designs should take into consideration random var...
In the manufacturing of VLSI circuits, engineering designs should take into consideration random var...