Output Compression for IC Fault Detection Using Compressive Sensing

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Output Compression for IC Fault Detection Using Compressive Sensing

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dc.contributor.author Tarsa, Stephen John
dc.contributor.author Kung, H.T. T.
dc.date.accessioned 2012-12-06T14:43:11Z
dc.date.issued 2012-12-06
dc.identifier.citation Tarsa, Stephen J. and H.T. Kung. 2012. Output compression for IC fault detection using compressive sensing. Paper presented at Military Communications Conference (MILCOM 2012,) Orlando, Florida, October 29 - November 1, 2012. en_US
dc.identifier.uri http://nrs.harvard.edu/urn-3:HUL.InstRepos:10000990
dc.description.abstract The process of detecting logical faults in integrated circuits (ICs) due to manufacturing variations is bottlenecked by the I/O cost of scanning in test vectors and offloading test results. Traditionally, the output bottleneck is alleviated by reducing the number of bits in output responses using XOR networks, or computing signatures from the responses of multiple tests. However, these many-to-one computations reduce test time at the cost of higher detection failure rates, and lower test granularity. In this paper, we propose an output compression approach that uses compressive sensing to exploit the redundancy of correlated outputs from closely related tests, and of correlated faulty responses across many circuits. Compressive sensing's simple encoding method makes our approach attractive because it can be implemented on-chip using only a small number of accumulators. Through simulation, we show that our method can reduce the output I/O bottleneck without increasing failure rates, and can reconstruct higher granularity results off-chip than current compaction approaches. en_US
dc.description.sponsorship Engineering and Applied Sciences en_US
dc.language.iso en_US en_US
dc.publisher Institute of Electrical and Electronics Engineers en_US
dc.relation.hasversion http://www.eecs.harvard.edu/~htk/publication/2012-milcom-tarsa-kung.pdf en_US
dash.license LAA
dc.title Output Compression for IC Fault Detection Using Compressive Sensing en_US
dc.type Conference Paper en_US
dc.description.version Author's Original en_US
dc.relation.journal Military Communications Conference (MILCOM 2012) en_US
dash.depositing.author Kung, H.T. T.
dc.date.available 2012-12-06T14:43:11Z

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  • FAS Scholarly Articles [7106]
    Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University

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