Presentation
Enhancing 3-D Random Walk Capacitance Solver with Analytic Surface Green's Functions of Transition Cubes
DescriptionThe complicated dielectric profile under advanced process technologies challenges the accuracy of floating random walk (FRW) based capacitance extraction, as the latter pre-computes the surface Green's functions for a finite set of multi-dielectric transition cubes and makes approximations of transition cubes during the FRW process. In this work, we derive analytic surface Green's functions for transition cubes with arbitrary stratified dielectrics and propose a fast algorithm named AGF to compute them. A capacitance solver named FRW-AGF is then proposed to incorporate AGF into the FRW process to accurately model realistic transition cubes. Experimental results show that the proposed AGF is over 100x, faster than the state-of-the-art, and FRW-AGF largely improves the accuracy of RWCap4 [3, 17] (making all errors to golden values below 5%) without degrading computational speed and parallel scalability.
Event Type
Research Manuscript
TimeWednesday, June 2611:00am - 11:15am PDT
Location3010, 3rd Floor
EDA
Analog CAD, Simulation, Verification and Test