Enhancing Soft Defect Localization with Software Automated Intelligent Laser Scanning (SAILS)

Abstract Soft defect localization (SDL) is a fault isolation (FI) technique used to root cause device marginalities and/or defects. The variety of test modes and their marginalities that can be solved with SDL is increasing as we find new ways to utilize this technique to our needs. However, SDL analysis can be time consuming if the test times are slow since millions of test executions are needed to get a statistically significant result. To solve this problem, we propose an improvement named software automated intelligent laser scanning (SAILS) to modulate laser dwell time on the fly. This software and hardware implementation can be applied to any test method, now or in the future, and to any of the SDL tools available in the market. In this paper, we discuss the successful implementation of this approach and show its ability to judiciously mask out sites in real-time and use this mask to modulate laser dwell time.

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Publication Details

Journal
Proceedings - International Symposium for Testing and Failure Analysis
Published
2024-10-23
DOI
https://doi.org/10.31399/asm.cp.istfa2024p0035
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
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article

Enhancing Soft Defect Localization with Software Automated Intelligent Laser Scanning (SAILS)

Aaron Liao, Joseph Caroselli, Arun Karunanithi, Wei Gao
Proceedings - International Symposium for Testing and Failure Analysis
Industrial Vision Systems and Defect Detection
article

Enhancing Soft Defect Localization with Software Automated Intelligent Laser Scanning (SAILS)

Aaron Liao, Joseph Caroselli, Arun Karunanithi, Wei Gao
article en

Abstract

Abstract Soft defect localization (SDL) is a fault isolation (FI) technique used to root cause device marginalities and/or defects. The variety of test modes and their marginalities that can be solved with SDL is increasing as we find new ways to utilize this technique to our needs. However, SDL analysis can be time consuming if the test times are slow since millions of test executions are needed to get a statistically significant result. To solve this problem, we propose an improvement named software automated intelligent laser scanning (SAILS) to modulate laser dwell time on the fly. This software and hardware implementation can be applied to any test method, now or in the future, and to any of the SDL tools available in the market. In this paper, we discuss the successful implementation of this approach and show its ability to judiciously mask out sites in real-time and use this mask to modulate laser dwell time.

Proceedings - International Symposium for Testing and Failure AnalysisVol. 84918
Advanced Micro Devices (United States) (US), The University of Texas at Austin (US)
Openalex Percentile: Top 73%
Industrial Vision Systems and Defect Detection
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