Processing tester information by trellising in integrated circuit technology development

• US 6,766,265 B2
• Filed: 12/18/2002
• Issued: 07/20/2004
• Est. Priority Date: 12/18/2002
• Status: Active Grant

• Current Assignee: Advanced Micro Devices, Inc.
• Original Assignee: Advanced Micro Devices, Inc.
• Inventors: Shetty, Shivananda S., Erhardt, Jeffrey P.
• Primary Examiner(s): Barlow, John
• Assistant Examiner(s): PRETLOW, DEMETRIUS R
• Application Number:
  US10/323,000
• Publication Number:
  US 20040122601A1
• Time in Patent Office: 580 Days
• Field of Search: 702/35, 702/108, 702/113, 702/117, 702/179, 702/182, 324/158.1, 716/4
• US Class Current: 702/108
• CPC Class Codes: G06T 11/206 Drawing of charts or graphs
• CPC Class Codes: H01L 22/20 Sequence of activities consisting of a plurality of measurements, corrections, marking or sorting steps

Abstract

A method for processing tester information is provided. The number of clusters of data in the tester information is determined to determine the number of data clusters. A basis is determined from the tester information to be used for plotting the data clusters. The data clusters are plotted on a plurality of trellis charts to form a trellising plot with a trellis of trellis charts.

Claims

1. A method for processing tester information comprising:

determining the number of clusters of data in the tester information to determine the number of data clusters;

determining a basis from the tester information to be used for plotting the data clusters; and

plotting the data clusters on a plurality of trellis charts to form a trellising plot with a trellis of the trellis charts.

2. The method as claimed in claim 1 wherein determining the basis for the data clusters determines a different basis for each of the data clusters.

3. The method as claimed in claim 1 wherein plotting the data clusters includes determining positions for the trellis charts in the trellising plot based on distance from the origin of one of the trellis charts in the trellising plot.

4. The method as claimed in claim 1 wherein plotting the data clusters includes having different trellis charts for different parameters of the tester information.

5. The method as claimed in claim 1 wherein plotting the data clusters plots different data clusters from different devices tested on a tester.

6. A method for processing tester information comprising:

determining the number of clusters of data in the tester information to determine the number of data clusters;

determining a scale from the tester information to be used for plotting the data clusters; and

plotting the data clusters on a plurality of trellis charts to form an automated trellising plot with a trellis of the trellis charts.

7. The method as claimed in claim 6 wherein determining the scale for the data clusters determines a different scale for each of the data clusters.

8. The method as claimed in claim 6 wherein plotting the data clusters includes determining positions for the trellis charts in the trellising plot based approximately the same relative positions that the data clusters would appear on a single X-Y plot.

9. The method as claimed in claim 6 wherein plotting the data clusters includes having different trellis charts for different parameters of the tester information and different types of trellis charts for the different parameters.

10. The method as claimed in claim 6 wherein plotting the data clusters plots different data clusters from the same or different devices tested on a tester.

11. A tester information processing system comprising

means for determining the number of clusters of data in the tester information to determine the number of data clusters;

means for determining a basis from the tester information to be used for plotting the data clusters; and

means for plotting the data clusters on a plurality of trellis charts to form a trellising plot with a trellis of the trellis charts.

12. The method as claimed in claim 11 wherein the means for determining the basis for the data clusters determines a different basis for each of the data clusters.

13. The method as claimed in claim 11 wherein the means for plotting the data clusters includes determining positions for the trellis charts in the trellising plot based on distance from the origin of one of the trellis charts in the trellising plot.

14. The method as claimed in claim 11 wherein the means for plotting the data clusters includes having different trellis charts for different parameters of the tester information.

15. The method as claimed in claim 11 wherein the means for plotting the data clusters plots different data clusters from different devices tested on a tester.

16. A tester information processing system comprising:

circuitry to determine the number of data clusters in the tester information;

scaling circuitry to determine a scale from the tester information to be used for plotting the data clusters; and

automation circuitry to plot the data clusters on a plurality of trellis charts to form an automated trellising plot with a trellis of the trellis charts.

17. The method as claimed in claim 16 wherein the circuitry for determining the scale for the data clusters determines a different scale for each of the data clusters.

18. The method as claimed in claim 16 wherein the automation circuitry includes determining positions for the trellis charts in the trellising plot based approximately the same relative positions that the data clusters would appear on a single X-Y plot.

19. The method as claimed in claim 16 wherein the automation circuitry for plotting the data clusters includes having different trellis charts for different parameters of the tester information and different types of trellis charts for the different parameters.

20. The method as claimed in claim 16 wherein the automation circuitry for plotting the data clusters plots different data clusters from the same or different devices tested on a tester.