Novel March Test Algorithm Optimization Strategy for Improving Unlinked Faults Detection | IEEE Conference Publication | IEEE Xplore

Novel March Test Algorithm Optimization Strategy for Improving Unlinked Faults Detection


Abstract:

March-series test algorithms have proven to be popular choices for Memory BIST implementation, owing to their simplicity yet having a good fault coverage. However, March ...Show More

Abstract:

March-series test algorithms have proven to be popular choices for Memory BIST implementation, owing to their simplicity yet having a good fault coverage. However, March test algorithms with low test complexities are incapable to detect some unlinked static Single-Cell faults and many Double-Cell faults. This paper presents a new optimization strategy to improve the fault coverage of the existing March algorithms by detecting the previously undetectable Single-Cell faults and Double-Cell faults. It is achieved by optimizing the test operation sequences of the existing March test algorithms through an automation program, to achieve higher fault coverage while maintaining the same test complexity as the original March algorithm. Performance analysis shows that the fault coverage of March LR and March SR algorithms can be improved from 44% to 72% and from 61% to 69%, respectively, by using the proposed optimization strategy.
Date of Conference: 22-26 November 2021
Date Added to IEEE Xplore: 02 February 2022
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Conference Location: Penang, Malaysia

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