DocumentCode :
2087790
Title :
Statistical circuit simulation and yield analysis for IC´s
Author :
Shahsavasi, M.M. ; Sanders, Thomas J. ; Means, Dale P. ; Moye, Kevin J.
Author_Institution :
Dept. of Electr. & Comput. Eng., Florida Inst. of Technol., Melbourne, FL, USA
fYear :
1994
fDate :
10-13 Apr 1994
Firstpage :
128
Lastpage :
130
Abstract :
The importance of running statistically based process, device and circuit simulations is becoming critical to IC design for manufacturing techniques. Thus arises the need for software-based packages that couple statistical techniques to conventional simulators. Monte Carlo techniques have been implemented in various such packages, but the nature of Monte Carlo designs often lead to time-consuming and inefficient techniques. This paper concentrates on coupling more efficient statistical techniques (based on a Design of Experiments methodology) and conventional simulators with the aid of software tools for the purpose of characterizing circuit performances in terms of equipment and material variables
Keywords :
circuit CAD; circuit analysis computing; large scale integration; software packages; statistical analysis; Design of Experiments methodology; IC design; circuit performances; material variables; software tools; software-based packages; statistical circuit simulation; yield analysis; Circuit simulation; Coupling circuits; Design methodology; Fabrication; Manufacturing processes; Monte Carlo methods; Packaging; Predictive models; Software packages; Virtual manufacturing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Southeastcon '94. Creative Technology Transfer - A Global Affair., Proceedings of the 1994 IEEE
Conference_Location :
Miami, FL
Print_ISBN :
0-7803-1797-1
Type :
conf
DOI :
10.1109/SECON.1994.324281
Filename :
324281
Link To Document :
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