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dc.contributor.authorSakalis, Christos
dc.contributor.authorJimborean, Alexandra
dc.contributor.authorKaxiras, Stefanos
dc.contributor.authorSjälander, Magnus
dc.date.accessioned2020-03-02T08:54:46Z
dc.date.available2020-03-02T08:54:46Z
dc.date.created2019-11-29T08:50:05Z
dc.date.issued2019
dc.identifier.issn1550-4832
dc.identifier.urihttp://hdl.handle.net/11250/2644541
dc.description.abstractThere exist extensive ongoing research efforts on emerging atomic-scale technologies that have the potential to become an alternative to today’s complementary metal--oxide--semiconductor technologies. A common feature among the investigated technologies is that of multi-level devices, particularly the possibility of implementing quaternary logic gates and memory cells. However, for such multi-level devices to be used reliably, an increase in energy dissipation and operation time is required. Building on the principle of approximate computing, we present a set of combinational logic circuits and memory based on multi-level logic gates in which we can trade reliability against energy efficiency. Keeping the energy and timing constraints constant, important data are encoded in a more robust binary format while error-tolerant data are encoded in a quaternary format. We analyze the behavior of the logic circuits when exposed to transient errors caused as a side effect of this encoding. We also evaluate the potential benefit of the logic circuits and memory by embedding them in a conventional computer system on which we execute jpeg, sobel, and blackscholes approximately. We demonstrate that blackscholes is not suitable for such a system and explain why. However, we also achieve dynamic energy reductions of 10% and 13% for jpeg and sobel, respectively, and improve execution time by 38% for sobel, while maintaining adequate output quality.nb_NO
dc.language.isoengnb_NO
dc.publisherACM Publicationsnb_NO
dc.titleEvaluating the Potential Applications of Quaternary Logic for Approximate Computingnb_NO
dc.typeJournal articlenb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.volume16nb_NO
dc.source.journalACM Journal on Emerging Technologies in Computing Systemsnb_NO
dc.source.issue1nb_NO
dc.identifier.doi10.1145/3359620
dc.identifier.cristin1754219
dc.description.localcode© ACM, 2019. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published here, http://dx.doi.org/10.1145/3359620nb_NO
cristin.unitcode194,63,10,0
cristin.unitnameInstitutt for datateknologi og informatikk
cristin.ispublishedtrue
cristin.fulltextpostprint


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