NEURAL NETWORK BASED PHYSICAL SYNTHESIS FOR CIRCUIT DESIGNS

Patent №

US 10,192,016

Granted

2019-01-29

Filed 2017

Owner

XILINX, INC.

Lab

AI components

3

ml · evo · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15407875

Physical synthesis for a circuit design can include determining, using a processor, features relating to a signal path of the circuit design not meeting a timing requirement, processing the features through a first neural network model using the processor, wherein the first neural network model is trained to indicate an effectiveness of a first physical synthesis optimization, and selectively performing, using the processor, the first physical synthesis optimization for the signal path based upon a result from the first neural network model.

Machine learningEvolutionary computationAI hardwareG06F 30/347G06F 30/327G06F 30/34G06F 30/39G06F 30/398G06F 2119/06G06F 2119/12

AI classification

Machine learning1.00
AI hardware1.00
Evolutionary computation0.80
Knowledge representation0.06
Natural language0.05
Vision0.01
Speech0.01
Planning0.00

Ownership

XILINX, INC.

assignment · 409890266

Assignors

NG, AARON, DAS, SABYASACHI, BASU, PRABAL

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

© 2026 NYSGPT2525 LLC