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DFT assisted techniques for peak launch-to-capture power reduction during launch-on-shift at-speed testing
S. Potluri, A.S. Trinadh, , V. Kamakoti, N. Chandrachoodan
Published in Association for Computing Machinery
2015
Volume: 21
   
Issue: 1
Abstract
Scan-based testing is crucial to ensuring correct functioning of chips. In this scheme, the scan and capture phases are interleaved. It is well known that for large designs, excessive switching activity during the launch-to-capture window leads to high voltage droop on the power grid, ultimately resulting in false delay failures during at-speed test. This article proposes a new design-for-testability (DFT) scheme for launch-onshift (LOS) testing, which ensures that the combinational logic remains undisturbed between the interleaved capture phases, providing computer-aided-design (CAD) tools with extra search space for minimizing launchto-capture switching activity through test pattern ordering (TPO). We further propose a new TPO algorithm that keeps track of the don't cares during the ordering process, so that the don't care filling step after the ordering process yields a better reduction in launch-to-capture switching activity compared to any other technique in the literature. The proposed DFT-assisted technique, when applied to circuits in ITC99 benchmark suite, produces an average reduction of 17.68% in peak launch-to-capture switching activity (CSA) compared to the best known lowpower TPO technique. Even for circuits whose test cubes are not rich in don't care bits, the proposed technique produces an average reduction of 15% in peak CSA, while for the circuits with test cubes rich in don't care bits (≥75%), the average reduction is 24%. The proposed technique also reduces the average power dissipation (considering both scan cells and combinational logic) during the scan phase by about 43.5% on an average, compared to the adjacent filling technique. © 2015 ACM.
About the journal
JournalData powered by TypesetACM Transactions on Design Automation of Electronic Systems
PublisherData powered by TypesetAssociation for Computing Machinery
ISSN10844309