Advanced Micro Devices Corporation

Globalfoundries Inc.

Rajesh Vijayaraghavan

Elfido Coss, Jr

Eric Omar Green

Daniel Kadosh

Kevin R Lensing

Gregory A Cherry

James E Routh

Luis De La Fuente

Paul A Ferno

Carl I Bowen

Benjamin Ertle

A method includes receiving a first set of parameters associated with a plurality of die. A first die performance metric associated with a selected die is determined based on the first set of parameters. At least one neighborhood die performance metric associated with a set comprised of a plurality of die that neighbor the selected die is determined based on the first set of parameters. A second die performance metric is determined for the selected die based on the first die performance metric and the neighborhood die performance metric.

Determining die performance by incorporating neighboring die performance metrics

A method includes performing burn-in testing of a device in a tester to generate post burn-in data. Pre-burn-in data associated with the device is compared to the post burn-in data. The device is identified as an outlier device based on the comparison.

Method and apparatus for identifying outliers following burn-in testing

A method includes collecting trace data associated with a first device tester. A tester health metric is generated for the first device tester. At least one device tested by the first device tester is retested responsive to determining the tester health metric violates a predetermined threshold. A system includes a first device tester operable to test devices and a tester monitoring unit. The tester monitoring unit is operable to collect trace data associated with the first device tester, generate a tester health metric for the first device tester, and initiate a retest of at least one device tested by the first device tester responsive to determining the tester health metric violates a predetermined threshold.

Method and apparatus for correlating test equipment health and test results

A method includes collecting trace data associated with a plurality of device testers. Tester health metrics are generated for each of the device testers. The tester health metrics are analyzed to identify a selected tester health metric that diverges from the plurality of tester health metrics. A corrective action is initiated for the tester associated with the selected tester health metric. A method includes collecting trace data associated with a plurality of device testers. The trace data for each of the device testers is compared to a reference trace data set to generate tester health metrics for each of the device testers based on the difference therebetween. The tester health metrics are analyzed to identify a selected tester health metric that diverges from the plurality of tester health metrics. A corrective action is initiated for the tester associated with the selected tester health metric.

Method and apparatus for matching test equipment calibration

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Austin, TX, United States of America

Rajesh Vijayaraghavan