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Trends Of CPU, GPU and FPGA for high-performance computing

dc.contributor.authorVéstias, Mário
dc.contributor.authorNeto, Horácio
dc.date.accessioned2015-08-19T09:59:06Z
dc.date.available2015-08-19T09:59:06Z
dc.date.issued2014-10
dc.description.abstractFloating-point computing with more than one TFLOP of peak performance is already a reality in recent Field-Programmable Gate Arrays (FPGA). General-Purpose Graphics Processing Units (GPGPU) and recent many-core CPUs have also taken advantage of the recent technological innovations in integrated circuit (IC) design and had also dramatically improved their peak performances. In this paper, we compare the trends of these computing architectures for high-performance computing and survey these platforms in the execution of algorithms belonging to different scientific application domains. Trends in peak performance, power consumption and sustained performances, for particular applications, show that FPGAs are increasing the gap to GPUs and many-core CPUs moving them away from high-performance computing with intensive floating-point calculations. FPGAs become competitive for custom floating-point or fixed-point representations, for smaller input sizes of certain algorithms, for combinational logic problems and parallel map-reduce problems. © 2014 Technical University of Munich (TUM).por
dc.identifier.citationVÉSTIAS, Mário Pereira – Trends of CPU, GPU and FPGA for high-performance computing. In Conference Digest - 24th International Conference on Field Programmable Logic and Applications, FPL 2014. New York : IEEE - Institute of Electrical and Electronics Engineers Inc., 2014. ISBN: 978-300044645-0. Art. Nr. 6927483
dc.identifier.doi10.1109/FPL.2014.6927483
dc.identifier.isbn978-300044645-0
dc.identifier.urihttp://hdl.handle.net/10400.21/4840
dc.language.isoengen
dc.peerreviewedyespor
dc.publisherIEEE - Institute of Electrical and Electronics Engineers Inc.por
dc.relationPTDC/EEAELC/122098/2010
dc.relationStrategic Project - LA 21 - 2013-2014
dc.relation.ispartofseries6927483
dc.subjectHigh-Performance Computingpor
dc.subjectField-Programmable Gate Arrays (FPGA)por
dc.titleTrends Of CPU, GPU and FPGA for high-performance computingpor
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleStrategic Project - LA 21 - 2013-2014
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/PEst-OE%2FEEI%2FLA0021%2F2013/PT
oaire.citation.conferencePlaceNew Yorkpor
oaire.citation.titleConference Digest - 24th International Conference on Field Programmable Logic and Applications, FPLpor
oaire.fundingStream6817 - DCRRNI ID
person.familyNameVéstias
person.givenNameMário
person.identifier.ciencia-id4717-C2C7-3F2C
person.identifier.orcid0000-0001-8556-4507
person.identifier.ridH-9953-2012
person.identifier.scopus-author-id14525867300
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsclosedAccesspor
rcaap.typeconferenceObjectpor
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relation.isAuthorOfPublication.latestForDiscoverya7d22b29-c961-45ac-bc09-cd5e1002f1e8
relation.isProjectOfPublicationc57bd42b-bb65-4368-b331-6c6b646fd0e9
relation.isProjectOfPublication.latestForDiscoveryc57bd42b-bb65-4368-b331-6c6b646fd0e9

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