Invention Grant
- Patent Title: Pre-characterization mixed-signal design, placement, and routing using machine learning
-
Application No.: US17384895Application Date: 2021-07-26
-
Publication No.: US11704470B2Publication Date: 2023-07-18
- Inventor: Wen-Shen Chou , Jie-Ren Huang , Yu-Tao Yang , Yung-Chow Peng , Yung-Hsu Chuang
- Applicant: Taiwan Semiconductor Manufacturing Company Limited
- Applicant Address: TW Hsinchu
- Assignee: Taiwan Semiconductor Manufacturing Company Limited
- Current Assignee: Taiwan Semiconductor Manufacturing Company Limited
- Current Assignee Address: TW Hsinchu
- Agency: Jones Day
- Main IPC: G06F7/50
- IPC: G06F7/50 ; G06F30/398 ; G06N20/00 ; G06F30/20 ; G06F111/04

Abstract:
Systems, methods, and devices are disclosed herein for developing a cell design. Operations of a plurality of electrical cells are simulated to collect a plurality of electrical parameters. A machine learning model is trained using the plurality of electrical parameters. The trained machine learning model receives data having cell layout design constraints. The trained machine learning model determines a cell layout for the received data based on the plurality of electrical parameters. The cell layout is provided for further characterization of electrical performance within the cell layout design constraints.
Public/Granted literature
- US20210350063A1 PRE-CHARACTERIZATION MIXED-SIGNAL DESIGN, PLACEMENT, AND ROUTING USING MACHINE LEARNING Public/Granted day:2021-11-11
Information query