METHODS AND SYSTEMS FOR LEVERAGING COMPUTER-AIDED DESIGN VARIABILITY IN SYNTHESIS TUNING

Patent №

US 11,636,245

Granted

2023-04-25

Filed 2021

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

2

evo · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

17444860

Embodiments for tuning parameters to a synthesis program are provided. At least one set of parameter settings for the synthesis program is selected. A plurality of identical synthesis jobs for the at least one set of parameter settings is run in an iteration of the synthesis program. Results of the iteration of the synthesis program are analyzed utilizing a tuning optimization cost function. Combinations of the parameter settings are created based on the analysis. At least one synthesis job for is run each of the combinations of the parameter settings in a subsequent iteration of the synthesis program. The analysis of the results, the creating of the combinations of parameter settings, and the running at the at least one synthesis job for each of the combinations of parameter settings are repeated until an exit criteria has been achieved.

Evolutionary computationAI hardwareG06F 30/337G06F 30/327G06F 30/33G06F 30/392G06F 30/394G06F 2111/06

AI classification

Evolutionary computation0.99
AI hardware0.69
Natural language0.01
Machine learning0.01
Knowledge representation0.00
Vision0.00
Planning0.00
Speech0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 571480388

Assignors

ZIEGLER, MATTHEW MANTELL, REDDY, LAKSHMI N, FRANCH, ROBERT LOUIS

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

From the same owner

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