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Fast statistical methods of interconnect delay and slew in the presence of process fluctuations are proposed. Using an optimized quadratic model to describe the effects of process variations,the proposed method enables closedform expressions of interconnect delay and slew for the given variations in relevant process parameters.Simulation results show that the method,which has a statistical characteristic similar to traditional methodology,is more efficient compared to HSPICE-based Monte Carlo simulations and traditional methodology.
Fast statistical methods of interconnect delay and slew in the presence of process fluctuations are proposed. Using an optimized quadratic model to describe the effects of process variations, the proposed method enables closedform expressions of interconnect delay and slew for the given variations in relevant process parameters. Simulation results show that the method, which has a statistical characteristic similar to traditional methodology, is more efficient compared to HSPICE-based Monte Carlo simulations and traditional methodology.