INTEGRATED CIRCUIT MODELS HAVING ASSOCIATED TIMING EXCEPTION INFORMATION THEREWITH FOR USE WITH ELECTRONIC DESIGN AUTOMATION

Patent №

US 6,678,644

Granted

2004-01-13

Filed 1999

Owner

SYNOPSYS, INC.

Lab

AI components

1

ml

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

09395096

Integrated circuit models having associated timing and tag information therewith for use with electronic design automation to effectively model timing exception information. The present invention includes a circuit block model which allows automated circuit optimization to be performed on extremely large circuits without the need to load all of the details of the circuit into computer memory. The circuit models of the present invention effectively model timing including timing exception information. The model of the present invention is associated with command information, e.g., textual commands, that describe tags (which model exceptions) and arrival and required times associated with the tags. Specifically, for the input pins of a circuit to be modeled, the present invention writes out a command defining each unique required tag associated with an input pin and also writes out commands associating each required tag with its input pin. For the output pins of a circuit to be modeled, the present invention writes out a command defining each unique arrival tag associated with an output pin and also writes out commands associating each arrival tag with its output pin. The tag, arrival and required information is then associated with the model. Timing exceptions are thereby effectively and efficiently modeled using this process. The present invention also includes various circuit optimization processes that utilize the above described circuit model with command information. These circuit optimizations can be used for incremental optimization of a large circuit.

Machine learningG06F 30/3312G06F 30/398G06F 2119/12

AI classification

Machine learning0.60
Planning0.50
AI hardware0.12
Evolutionary computation0.01
Speech0.00
Vision0.00
Knowledge representation0.00
Natural language0.00

Ownership

SYNOPSYS, INC.

assignment · 102590539

Assignors

SEGAL, RUSSELL B.

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

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