US 11,704,470 B2
Pre-characterization mixed-signal design, placement, and routing using machine learning
Wen-Shen Chou, Hsinchu County (TW); Jie-Ren Huang, Hsinchu (TW); Yu-Tao Yang, Hsinchu County (TW); Yung-Chow Peng, Hsinchu (TW); and Yung-Hsu Chuang, Hsinchu (TW)
Assigned to Taiwan Semiconductor Manufacturing Company Limited, Hsinchu (TW)
Filed by Taiwan Semiconductor Manufacturing Company Limited, Hsinchu (TW)
Filed on Jul. 26, 2021, as Appl. No. 17/384,895.
Application 17/384,895 is a continuation of application No. 16/572,651, filed on Sep. 17, 2019, granted, now 11,106,855.
Prior Publication US 2021/0350063 A1, Nov. 11, 2021
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 7/50 (2006.01); G06F 30/398 (2020.01); G06N 20/00 (2019.01); G06F 30/20 (2020.01); G06F 111/04 (2020.01)
CPC G06F 30/398 (2020.01) [G06F 30/20 (2020.01); G06N 20/00 (2019.01); G06F 2111/04 (2020.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
training a machine learning model using a plurality of electrical parameters associated with a plurality of electrical cells;
receiving, by the trained machine learning model, data comprising cell layout design constraints;
determining, by the trained machine learning model, a cell layout for the received data based on the plurality of electrical parameters by:
positioning at least two electrical cells of the plurality of electrical cells within the cell layout; and
generating at least two transition cells surrounding the at least two electrical cells, each transition cell surrounding an electrical cell; and
providing the cell layout for further characterization of electrical performance within the cell layout design constraints.