SCALABLE AND AUTOMATED IDENTIFICATION OF UNOBSERVABILITY CAUSALITY IN LOGIC OPTIMIZATION FLOWS

Patent №

US 9,715,564

Granted

2017-07-25

Filed 2015

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

1

planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14924898

A method for performing redundancy identification in an integrated circuit design. An optimized gate in a logic circuit is identified. A first netlist with a representation of the logic circuit is generated. An error is induced on the optimized gate. A second netlist is generated from a copy of the first netlist incorporating changes based on the error. Fan-out boundaries of the logic circuit are propagated for the first and second netlists. A redundancy report representing optimization steps performed to obtain the original logic circuit is analyzed to identify which steps are adequate to cause unobservability of the optimized gate. This is done by representing the optimization steps as constraints over the first and second netlists. Responsive to the error becoming undetectable under the constraints derived from the redundancy report, a minimal set of reductions is identified from the first netlist as the reason for unobservability of the optimized gate.

AI classification

Planning0.98
AI hardware0.23
Natural language0.00
Vision0.00
Evolutionary computation0.00
Knowledge representation0.00
Machine learning0.00
Speech0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 369850767

Assignors

BAUMGARTNER, JASON R., GAJAVELLY, RAJ K., MISRA, ASHUTOSH, NALLA, PRADEEP K.

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

From the same owner

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