Parametric yield enhancement system via circuit level device optimization using statistical circuit simulation

To achieve high yield products without degrading the performance, it is important to optimize the device condition, considering the process variation. We present a model parameter extraction methodology to extract the process variation from the E-T (Electrical Test) data. We have estimated the parametric yield of a 0.20 /spl mu/m process SRAM test chip using Monte Carlo simulation and have obtained good agreement compared to measurement. We also performed device optimization using a critical path to improve the parametric yield.