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dc.contributor.authorPany, T.
dc.contributor.authorDampf, J.
dc.contributor.authorBär, W.
dc.contributor.authorWinkel, J.
dc.contributor.authorStöber, C.
dc.contributor.authorFürlinger, K.
dc.contributor.authorClosas Gómez, Pau
dc.contributor.authorGarcía Molina, J. A.
dc.date.accessioned2017-02-15T13:01:38Z
dc.date.available2017-02-15T13:01:38Z
dc.date.issued2015
dc.identifier.citationPany, T., Dampf, J., Bär, W., Winkel, J., Stöber, C., Fürlinger, K., Closas, P., García, J. Benchmarking CPUs and GPUs on embedded platforms for software receiver usage. A: International Technical Meeting of the Satellite Division of the Institute of Navigation. "Proceedings of the 28th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2015), 4-18 September, 2015, Tampa, Florida, EUA". Tampa, Florida: 2015, p. 3188-3197.
dc.identifier.urihttp://hdl.handle.net/2117/101077
dc.description.abstractSmartphones containing multi-core central processing units (CPUs) and powerful many-core graphics processing units (GPUs) bring supercomputing technology into your pocket (or into our embedded devices). This can be exploited to produce power-efficient, customized receivers with flexible correlation schemes and more advanced positioning techniques. For example, promising techniques such as the Direct Position Estimation paradigm or usage of tracking solutions based on particle filtering, seem to be very appealing in challenging environments but are likewise computationally quite demanding. This article sheds some light onto recent embedded processor developments, benchmarks Fast Fourier Transform (FFT) and correlation algorithms on representative embedded platforms and relates the results to the use in GNSS software radios. The use of embedded CPUs for signal tracking seems to be straight forward, but more research is required to fully achieve the nominal peak performance of an embedded GPU for FFT computation. Also the electrical power consumption is measured in certain load levels.
dc.format.extent10 p.
dc.language.isoeng
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
dc.subject.lcshGraphics processing units
dc.subject.otherComputer graphics
dc.subject.otherFast Fourier transforms
dc.subject.otherFiltration
dc.subject.otherProgram processors
dc.subject.otherCorrelation algorithm
dc.subject.otherCorrelation scheme
dc.subject.otherElectrical power consumption
dc.subject.otherEmbedded platforms. Embedded processors
dc.subject.otherGraphics processing units
dc.subject.otherPositioning techniques
dc.subject.otherSoftware receivers
dc.titleBenchmarking CPUs and GPUs on embedded platforms for software receiver usage
dc.typeConference report
dc.subject.lemacUnitats de processament gràfic
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.ion.org/publications/abstract.cfm?jp=p&articleID=12813
dc.rights.accessOpen Access
local.identifier.drac18785484
dc.description.versionPostprint (published version)
local.citation.authorPany, T.; Dampf, J.; Bär, W.; Winkel, J.; Stöber, C.; Fürlinger, K.; Closas, P.; García, J.
local.citation.contributorInternational Technical Meeting of the Satellite Division of the Institute of Navigation
local.citation.pubplaceTampa, Florida
local.citation.publicationNameProceedings of the 28th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2015), 4-18 September, 2015, Tampa, Florida, EUA
local.citation.startingPage3188
local.citation.endingPage3197


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    Salvo que se indique lo contrario, los contenidos de esta obra estan sujetos a la licencia de Creative Commons : Reconocimiento-NoComercial-SinObraDerivada 3.0 España