Add to ORKGWe describe the use of a form of machine learning which makes efficient use of time and computing resources for developing and optimizing a transistor level IC layout. Our learning system abstracts new knowledge from examples it is provided and incorporates this new knowledge into a generalized solution graph. This generalized solution graph contains information about layout topologies known to the syste
This paper describes an innovative analog IC layout generation tool, LAYGEN II, based on evolutionar...
This paper presents a machine learning powered, procedural sizing methodology based on pre-computed ...
Very-large-scale integrated (VLSI) circuits have entered the era of 1x nm technology node and beyond...
The performance of analog circuits is critically dependent on layout parasitics, but the layout has ...
In the past few decades, there has been extensive research on automating the layout of custom integr...
Analog and mixed-signal (AMS) circuit designs still rely on human design expertise. Machine learning...
This paper describes the characteristics of a new CAD tool that enables the creation of layout libra...
The direct automated transformation of a circuit into the "best" physical layout is hard. An alterna...
The layout design of analog integrated circuits has been defying all automation attempts, and it is ...
This thesis presents the development of a layout automator for VLSI circuit design using a standard ...
Analog IC design is characterized by non-systematic re-design iterations, often requiring partial or...
In this paper, a layout synthesis tool for the design of analog integrated circuits (ICs) is present...
133 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1987.This thesis addresses the pro...
Also issued as Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineeri...
In integrated circuit design, one of the most tedious and time-consuming steps is the generation of...
This paper describes an innovative analog IC layout generation tool, LAYGEN II, based on evolutionar...
This paper presents a machine learning powered, procedural sizing methodology based on pre-computed ...
Very-large-scale integrated (VLSI) circuits have entered the era of 1x nm technology node and beyond...
The performance of analog circuits is critically dependent on layout parasitics, but the layout has ...
In the past few decades, there has been extensive research on automating the layout of custom integr...
Analog and mixed-signal (AMS) circuit designs still rely on human design expertise. Machine learning...
This paper describes the characteristics of a new CAD tool that enables the creation of layout libra...
The direct automated transformation of a circuit into the "best" physical layout is hard. An alterna...
The layout design of analog integrated circuits has been defying all automation attempts, and it is ...
This thesis presents the development of a layout automator for VLSI circuit design using a standard ...
Analog IC design is characterized by non-systematic re-design iterations, often requiring partial or...
In this paper, a layout synthesis tool for the design of analog integrated circuits (ICs) is present...
133 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1987.This thesis addresses the pro...
Also issued as Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineeri...
In integrated circuit design, one of the most tedious and time-consuming steps is the generation of...
This paper describes an innovative analog IC layout generation tool, LAYGEN II, based on evolutionar...
This paper presents a machine learning powered, procedural sizing methodology based on pre-computed ...
Very-large-scale integrated (VLSI) circuits have entered the era of 1x nm technology node and beyond...