R. A. Solovyev, D. V. Telpukhov, E. D. Demidov, I. I. Shafeev, “Fast analysis of static IR drop effect based on machine learning methods”, Proceedings of ISP RAS, 2023, Volume 35, Issue 5,Pages <nobr>127

Fast analysis of static IR drop effect based on machine learning methods

R. A. Solovyev^a, D. V. Telpukhov^a, E. D. Demidov^b, I. I. Shafeev^a

^a Institute for Design Problems in Microelectronics of Russian Academy of Sciences
^b National Research University of Electronic Technology

Abstract: As part of the ICCAD Contest 2023 (Problem C) competition, the paper describes a methodology for applying ML models to perform static IR drop analysis. Methods for obtaining a database for training a neural network to solve this problem are given. We consider a technique for training an ML model to analyze the static IR-drop effect. The generation of input data for training a neural network from SPICE netlists is also discussed in this paper. This solution is ranked in the TOP 3 at the ICCAD Contest 2023 competition.

Keywords: IR drop analysis, ML-model, neural network, machine learning, database

DOI: 10.15514/ISPRAS-2023-35(5)-9