DocumentCode :
1891241
Title :
Monte-Carlo algorithms for layout density control
Author :
Chen, Yu ; Kahng, Andrew B. ; Robins, Gabriel ; Zelikovsky, Alexander
Author_Institution :
Dept. of Comput. Sci., California Univ., Los Angeles, CA, USA
fYear :
2000
fDate :
9-9 June 2000
Firstpage :
523
Lastpage :
528
Abstract :
Chemical-mechanical polishing (CMP) and other manufacturing steps in very deep submicron VLSI have varying effects on device and interconnect features, depending on local characteristics of the layout. To enhance manufacturability and performance predictability, we seek to make the layout uniform with respect to prescribed density criteria, by inserting "fill" geometries into the layout. We propose several new Monte-Carlo based filling methods with fast dynamic data structures and report the tradeoff between runtime and accuracy for the suggested methods. Compared to existing linear programming based approaches, our Monte-Carlo methods seem very promising as they produce nearly-optimal solutions within reasonable runtimes.
Keywords :
Monte Carlo methods; VLSI; circuit layout CAD; data structures; integrated circuit layout; Monte-Carlo algorithms; Monte-Carlo based filling methods; deep submicron VLSI; fast dynamic data structures; fill geometries insertion; layout density control; prescribed density criteria; uniform layout; Chemical technology; Computer science; Filling; Geometry; Manufacturing processes; Runtime; Size control; Slurries; Tiles; Very large scale integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design Automation Conference, 2000. Proceedings of the ASP-DAC 2000. Asia and South Pacific
Conference_Location :
Yokohama, Japan
Print_ISBN :
0-7803-5973-9
Type :
conf
DOI :
10.1109/ASPDAC.2000.835156
Filename :
835156
Link To Document :
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