OPTIMIZED PIN ASSIGNMENT WITH CONSTRAINTS

Patent №

US 6,873,147

Granted

2005-03-29

Filed 2003

Owner

AGILENT TECHNOLOGIES, INC.

Lab

AI components

1

hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

10602339

A novel method for finding optimized solutions for assigning pins to probes in a constrained tester environment is presented. Given a test system network, including the nodes, probes, pins, resources, probe-to-resource mappings, resource-to-pin mappings, and test-to-resource mappings, and constraints including a Multiple-Resource-Per-Probe Constraint, a Same-Module Constraint, and/or a Multiplexing Constraint, the test system network is modeled as a Network Flow Problem to handle all of the constraints of the constrained pin-to-probe assignment problem, using “dummy” probes where necessary to model the constrained network. A modified Maximum Flow Algorithm that satisfies the network constraints is applied to the Network Flow Problem to generate a solution to said constrained pin-to-probe assignment problem.

AI hardwareG01R 31/2801G01R 31/2834G01R 31/2836

AI classification

AI hardware0.92
Knowledge representation0.33
Machine learning0.28
Planning0.03
Speech0.00
Vision0.00
Evolutionary computation0.00
Natural language0.00

Ownership

AGILENT TECHNOLOGIES, INC.

assignment · 138760782

Assignors

AHIRKENCHEIKH, CHERIF

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

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