Title :
Parametric yield estimation for deep sub-micron VLSI circuits
Author_Institution :
Tech. Univ. Eindhoven, Netherlands
Abstract :
Summary form only given. Experimental silicon production facilities currently approach the region of circuits exhibiting 70 and 50 nanometer feature sizes. These will enter the market in a few years. By that time the industrial design environments have to be ready to serve the needs of such technologies. Experiments performed in new fabrication facilities indicate that there will be a new challenge: the control of the statistical variations of layout dimensions and material parameters due to imperfect processing. Some experiments indicate that such variations may lead to fluctuations of the speed of circuits of about 14% within one die. This fosters the conclusion that those statistical variations must enter the design flow. First of all the statistical features of device and layout parameters have to adequately characterized by appropriate mathematical models on the basis of advanced metrology. Secondly the libraries of logic components have to be updated to capture the statistical device features. Thirdly the simulation engines have to be prepared to produce not only nominal (and possibly worst case) data but also statistical performance distributions and densities.
Keywords :
VLSI; circuit CAD; circuit simulation; integrated circuit design; integrated circuit economics; integrated circuit measurement; integrated circuit modelling; integrated circuit yield; logic CAD; nanoelectronics; semiconductor process modelling; statistical analysis; technological forecasting; 50 nm; 70 nm; IC design environments; VLSI deep sub-micron circuits; advanced metrology mathematical modeling; circuit speed fluctuations; design flow statistical variation requirements; device/layout parameters statistical feature characterization; experimental fabrication facilities; imperfect processing; layout dimensions/material parameters statistical variation control; logic component library updating; nanometer feature size IC; parametric yield estimation; simulation engine nominal/worst case data production; statistical performance distributions/densities; Circuits; Fabrication; Fluctuations; Libraries; Mathematical model; Metrology; Production facilities; Silicon; Very large scale integration; Yield estimation;
Conference_Titel :
Integrated Circuits and Systems Design, 2002. Proceedings. 15th Symposium on
Print_ISBN :
0-7695-1807-9
DOI :
10.1109/SBCCI.2002.1137689