Adaptive Diagnosis Points for 100% Chain Diagnosis Coverage

A pre-silicon design-for-diagnosis flow is a critical step in IC manufacturing. It is the key to achieving high diagnosis quality, which is necessary to improve yield and meet time-to-volume business requirements. This paper introduces a novel mechanism that significantly enhances this process. By inserting an XOR gate at scan cells, we enable these cells to operate in an additional mode, thereby improving their diagnosability. The activation of this extra mode is facilitated by a combination of a diagnosis-enable signal bit and the scan-enable signal. A key aspect of our approach is using a local scan cell without an additional input pin to provide the diagnosis-enable signal, a practical innovation that enhances the efficiency of the manufacturing process.

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Publication Details

Published
2024-11-03
DOI
https://doi.org/10.1109/itc51657.2024.00033
Citations
4
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
2.83
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Adaptive Diagnosis Points for 100% Chain Diagnosis Coverage

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article

Adaptive Diagnosis Points for 100% Chain Diagnosis Coverage

Jakub Janicki, Wu-Tung Cheng, Artur Stelmach, Szczepan Urban, Manish Sharma, Preston McWithey, Xin Yang
article en
4 citations

Abstract

A pre-silicon design-for-diagnosis flow is a critical step in IC manufacturing. It is the key to achieving high diagnosis quality, which is necessary to improve yield and meet time-to-volume business requirements. This paper introduces a novel mechanism that significantly enhances this process. By inserting an XOR gate at scan cells, we enable these cells to operate in an additional mode, thereby improving their diagnosability. The activation of this extra mode is facilitated by a combination of a diagnosis-enable signal bit and the scan-enable signal. A key aspect of our approach is using a local scan cell without an additional input pin to provide the diagnosis-enable signal, a practical innovation that enhances the efficiency of the manufacturing process.

Siemens (Germany) (DE)
Openalex Percentile: Top 7%
Artificial Intelligence in Healthcare
2.83
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