2017Unpublished venueRequires access

Cell-aware test generation time reduction by using switch-level ATPG

Po-Yao Chuang, Cheng‐Wen Wu, Harry H. Chen

Open publisher page 7 citations

Abstract

In this paper, we propose an efficient test flow for Cell-Aware Test (CAT) to drastically reduce the time for CAT-enhanced test generation at the cell level. In CAT, the detail transistor-level circuit simulation is used to find appropriate test patterns and it has been considered as very time consuming. To solve this problem, first, we exploit Switch-Level ATPG (SL-ATPG) and experimentally show that it can efficiently generate test patterns in the CAT flow. Second, based on layout-oriented defect generation method, we propose an algorithm to automatically inject those defects into the switching network used in SL-ATPG, for cells in the library. Third, note that the traditional ATPG is primarily based on the stuck-at-fault and transition-fault models, it is difficult to find small-delay faults. However, the same defects are likely to be detected by observing the short-circuit current, so we propose current-based checks for a pattern generation method which are able to detect the existence of a short-circuit path. Finally, we compare the simulation time of detailed circuit simulation and of SL-ATPG in CAT. The experiment is based on a commercial 180nm CMOS standard cell library. Moreover, it shows that SL-ATPG method can successfully reduce the simulation time by about 403X.

About this research paper

What this paper is about

In this paper, we propose an efficient test flow for Cell-Aware Test (CAT) to drastically reduce the time for CAT-enhanced test generation at the cell level. In CAT, the detail transistor-level circuit simulation is used to find appropriate test patterns and it has been considered as very time consuming. To solve this problem, first, we exploit Switch-Level ATPG (SL-ATPG) and experimentally show that it can efficiently generate test patterns in the CAT flow. Second, based on layout-oriented defect generation method, we propose an algorithm to automatically inject those defects into the switching network used in SL-ATPG, for cells in the library. Third, note that the traditional ATPG is primarily based on the stuck-at-fault and transition-fault models, it is difficult to find small-delay faults. However, the same defects are likely to be detected by observing the short-circuit current, so we propose current-based checks for a pattern generation method which are able to detect the existence of a short-circuit path. Finally, we compare the simulation time of detailed circuit simulation and of SL-ATPG in CAT. The experiment is based on a commercial 180nm CMOS standard cell library. Moreover, it shows that SL-ATPG method can successfully reduce the simulation time by about 403X.

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Available abstract

In this paper, we propose an efficient test flow for Cell-Aware Test (CAT) to drastically reduce the time for CAT-enhanced test generation at the cell level. In CAT, the detail transistor-level circuit simulation is used to find appropriate test patterns and it has been considered as very time consuming. To solve this problem, first, we exploit Switch-Level ATPG (SL-ATPG) and experimentally show that it can efficiently generate test patterns in the CAT flow. Second, based on layout-oriented defect generation method, we propose an algorithm to automatically inject those defects into the switching network used in SL-ATPG, for cells in the library. Third, note that the traditional ATPG is primarily based on the stuck-at-fault and transition-fault models, it is difficult to find small-delay faults. However, the same defects are likely to be detected by observing the short-circuit current, so we propose current-based checks for a pattern generation method which are able to detect the existence of a short-circuit path. Finally, we compare the simulation time of detailed circuit simulation and of SL-ATPG in CAT. The experiment is based on a commercial 180nm CMOS standard cell library. Moreover, it shows that SL-ATPG method can successfully reduce the simulation time by about 403X.

Key concepts: Automatic test pattern generation, Computer science, Fault coverage, CMOS, Reduction (mathematics), Path (computing), Test compression, Fault (geology)

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