Title :
Design sensitivities to variability: extrapolations and assessments in nanometer VLSI
Author :
Cao, Y. ; Gupta, P. ; Kahng, A.B. ; Sylvester, D. ; Yang, J.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
Abstract :
We propose a new framework for assessing (1) the impact of process variation on circuit performance and product value, and (2) the respective returns on investment for alternative process improvements. Elements of our framework include accurate device models and circuit simulation, along with Monte-Carlo analyses, to estimate parametric yields. We evaluate the merits of taking into account such previously unconsidered phenomena as correlations among process parameters. We also evaluate the impact of process variation with respect to such relevant metrics as parametric yield at selling point, and amount of required design guardbanding. Our experimental results yield insights into the scaling of process variation impacts through the next two ITRS technology nodes.
Keywords :
Monte Carlo methods; VLSI; circuit simulation; extrapolation; integrated circuit design; integrated circuit economics; integrated circuit modelling; integrated circuit yield; nanoelectronics; parameter estimation; ITRS technology nodes; Monte-Carlo analysis; circuit performance; circuit simulation; design guardbanding; design sensitivity; device models; extrapolations; nanometer VLSI; parametric yields; process improvements; process metrics; process parameter correlations; process variation; process variation scaling; product value; return on investment; selling point; Circuit optimization; Circuit simulation; Electronics industry; Extrapolation; Investments; Performance analysis; Process control; Taxonomy; Very large scale integration; Yield estimation;
Conference_Titel :
ASIC/SOC Conference, 2002. 15th Annual IEEE International
Print_ISBN :
0-7803-7494-0
DOI :
10.1109/ASIC.2002.1158094