System, Method, and Computer Program Product for Predicting Parasitics in an Electronic Design

Patent №

US 11,620,548

Granted

2023-04-04

Filed 2020

Owner

CADENCE DESIGN SYSTEMS, INC.

Lab

AI components

3

ml · vision · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16898702

The present disclosure relates to a computer-implemented method for electronic design is provided. Embodiments may include receiving, using at least one processor, an electronic design having an original schematic associated therewith and extracting one or more features for each net from the schematic. Embodiments may include storing one or more resistance or capacitance values for each net and applying the one or more resistance or capacitance values as labels for a machine learning model. Embodiments may also include training the machine learning model using one or more actual values to generate a trained model. Embodiments may further include receiving the trained model to predict parasitics for a stitching engine and generating a stitched schematic.

Machine learningVisionAI hardwareG06N 5/04G06F 30/27G06F 30/3308G06F 30/398G06N 5/01G06N 20/20G06V 10/82G06V 30/422+3 more

AI classification

Machine learning1.00
AI hardware0.96
Vision0.85
Natural language0.20
Planning0.04
Knowledge representation0.03
Evolutionary computation0.00
Speech0.00

Ownership

CADENCE DESIGN SYSTEMS, INC.

assignment · 529070271

Assignors

BHUSHAN, SAI, FALLON, ELIAS LEE, AHUJA, CHIRAG

On an employer assignment, the assignors are typically the inventors.

From the same owner

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