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dc.contributor.authorBelloch, José A.
dc.contributor.authorBadía, José
dc.contributor.authorIgual, Francisco D.
dc.contributor.authorGonzález, Alberto
dc.contributor.authorQuintana Ortí, Enrique S.
dc.date.accessioned2019-05-16T10:08:58Z
dc.date.available2019-05-16T10:08:58Z
dc.date.issued2018-05
dc.identifier.citationBELLOCH, Jose A., et al. Optimized Fundamental Signal Processing Operations For Energy Minimization on Heterogeneous Mobile Devices. IEEE Transactions on Circuits and Systems I: Regular Papers, 2018, 65.5: 1614-1627.ca_CA
dc.identifier.urihttp://hdl.handle.net/10234/182508
dc.description.abstractNumerous signal processing applications are emerging on both mobile and high-performance computing systems. These applications are subject to responsiveness constraints for user interactivity and, at the same time, must be optimized for energy efficiency. The increasingly heterogeneous power-versus-performance profile of modern hardware introduces new opportunities for energy savings as well as challenges. In this line, recent Systems-On-Chip (SoC) composed of low-power multicore processors, combined with a small graphics accelerator (or GPU), yield a notable increment of the computational capacity while partially retaining the appealing low power consumption of embedded systems. This paper analyzes the potential of these new hardware systems to accelerate applications that involve a large number of floating-point arithmetic operations mainly in the form of convolutions. To assess the performance, a headphone-based spatial audio application for mobile devices based on a Samsung Exynos 5422 SoC has been developed. We discuss different implementations and analyze the trade-offs between performance and energy efficiency for different scenarios and configurations. Our experimental results reveal that we can extend the battery lifetime of a device featuring such an architecture by a 238% by properly configuring and leveraging the computational resources.ca_CA
dc.format.extent28 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherIEEEca_CA
dc.rights© 2017 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.ca_CA
dc.subjectaudio systemsca_CA
dc.subjectsignal synthesisca_CA
dc.subjectparallel architecturesca_CA
dc.subjectparallel processingca_CA
dc.subjectheterogeneous (hybrid) systemsca_CA
dc.subjectperformance and energy efficiencyca_CA
dc.titleOptimized Fundamental Signal Processing Operations For Energy Minimization on Heterogeneous Mobile Devicesca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttps://doi.org/10.1109/TCSI.2017.2761909
dc.relation.projectIDSpanish Ministerio de Economía y Competitividad (TIN2014-53495- R and TEC2015-67387-C4-1-R) ; University Jaume I (UJI-B2016-20, together with the project PROMETEOII/2014/003) ; Dr. Jose A. Belloch is supported by GVA postdoctoral contract APOSTD/2016/069.ca_CA
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.relation.publisherVersionhttps://ieeexplore.ieee.org/abstract/document/8094283ca_CA
dc.type.versioninfo:eu-repo/semantics/acceptedVersionca_CA


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