17th International Symposium on Design and Diagnostics of Electronic Circuits &Amp; Systems 2014
DOI: 10.1109/ddecs.2014.6868774
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Timing-aware ATPG for critical paths with multiple TSVs

Abstract: International audienceThrough-Silicon-Vias (TSVs) are the key enablers of 3D integration technology. Therefore, the reliability of 3D-ICs rely on the quality of TSV testing. TSVs are prone to defects that may introduce small delay variations that can cause quality and reliability issues. Moreover, physical and electrical conditions, such as TSV dimensions, coupling and IR-drop, may affect path delay variations and consequently affect the detectability of small delay faults (SDF) induced by defective TSVs. In t… Show more

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“…ATPGs usually address faults within a maximum timing margin (max_tmgn), representing the slack limit for targeting faults at their minimum slacks. To provide more expressive test quality measures with respect to fault coverage, different metrics are described in the literature, such as Delay Effectiveness (DE, [16][17], which takes into account the size of the delay fault and the minimum slack of a path that can activate it, and probabilistic models considering slack and fault size distributions (e.g., ). DE is defined as the ratio between the integral of the cumulative distribution of detected fault slacks FD and the integral of the cumulative distribution of total fault slacks FT within max_tmgn:…”
Section: Related Workmentioning
confidence: 99%
“…ATPGs usually address faults within a maximum timing margin (max_tmgn), representing the slack limit for targeting faults at their minimum slacks. To provide more expressive test quality measures with respect to fault coverage, different metrics are described in the literature, such as Delay Effectiveness (DE, [16][17], which takes into account the size of the delay fault and the minimum slack of a path that can activate it, and probabilistic models considering slack and fault size distributions (e.g., ). DE is defined as the ratio between the integral of the cumulative distribution of detected fault slacks FD and the integral of the cumulative distribution of total fault slacks FT within max_tmgn:…”
Section: Related Workmentioning
confidence: 99%