2010
DOI: 10.1145/1870109.1870119
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Scan-Cell Reordering for Minimizing Scan-Shift Power Based on Nonspecified Test Cubes

Abstract: This article presents several scan-cell reordering techniques to reduce the signal transitions during the test mode while preserving the don't-care bits in the test patterns for a later optimization. Combined with a pattern-filling technique, the proposed scan-cell reordering techniques can utilize both high response correlations and pattern correlations to simultaneously minimize scan-out and scan-in transitions. Those scan-shift transitions can be further reduced by selectively using the inverse connections … Show more

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Cited by 7 publications
(5 citation statements)
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“…Therefore, the shift-out transitions must be considered. The proposed method also outperformed the methods in [ 26 ] and [ 27 ], which considers both the shift-in and -out transitions. The experimental results demonstrated that when applying the proposed method, the power consumption was decreased by 28.31% on average in all the experimental benchmark circuits compared with the previous method.…”
Section: Resultsmentioning
confidence: 84%
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“…Therefore, the shift-out transitions must be considered. The proposed method also outperformed the methods in [ 26 ] and [ 27 ], which considers both the shift-in and -out transitions. The experimental results demonstrated that when applying the proposed method, the power consumption was decreased by 28.31% on average in all the experimental benchmark circuits compared with the previous method.…”
Section: Resultsmentioning
confidence: 84%
“…Synopsys Design Compiler was used to synthesize the benchmark circuits, Synopsys DFT Compiler was used for the DFT insertion, and Synopsys TetraMax was used to generate patterns and apply X-filling technology. The proposed method was compared with the pattern-based scan chain reordering method [ 26 , 27 ] and the logic topology-based scan chain stitching method [ 28 ] for shift-power reduction. The experiments were conducted using the SAED 32 nm library supported by the Synopsys ARMENIA Education Department.…”
Section: Resultsmentioning
confidence: 99%
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