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dc.contributor.authorFuentes Sáez, Pablo
dc.contributor.authorBenito, Mariano
dc.contributor.authorVallejo, Enrique
dc.contributor.authorBosque Orero, José Luis
dc.contributor.authorBeivide Palacio, Ramon
dc.contributor.authorAnghel, Andreea
dc.contributor.authorRodríguez Herrera, Germán
dc.contributor.authorGusat, Mitch
dc.contributor.authorMinkenberg, Cyriel
dc.contributor.authorValero Cortés, Mateo
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.contributor.otherBarcelona Supercomputing Center
dc.date.accessioned2018-02-01T07:28:38Z
dc.date.available2018-07-05T00:30:16Z
dc.date.issued2017-12-25
dc.identifier.citationFuentes, P., Benito, M., Vallejo, E., Bosque, J., Beivide, R., Anghel, A., Rodríguez, G., Gusat, M., Minkenberg, C., Valero, M. A scalable synthetic traffic model of Graph500 for computer networks analysis. "Concurrency and computation. Practice and experience", 25 Desembre 2017, vol. 29, núm. 24, p. 1-15.
dc.identifier.issn1532-0626
dc.identifier.urihttp://hdl.handle.net/2117/113505
dc.description.abstractThe Graph500 benchmark attempts to steer the design of High-Performance Computing systems to maximize the performance under memory-constricted application workloads. A realistic simulation of such benchmarks for architectural research is challenging due to size and detail limitations. By contrast, synthetic traffic workloads constitute one of the least resource-consuming methods to evaluate the performance. In this work, we provide a simulation tool for network architects that need to evaluate the suitability of their interconnect for BigData applications. Our development is a low computation- and memory-demanding synthetic traffic model that emulates the behavior of the Graph500 communications and is publicly available in an open-source network simulator. The characterization of network traffic is inferred from a profile of several executions of the benchmark with different input parameters. We verify the validity of the equations in our model against an execution of the benchmark with a different set of parameters. Furthermore, we identify the impact of the node computation capabilities and network characteristics in the execution time of the model in a Dragonfly network
dc.description.sponsorshipThe authors would like to thank the European HiPEAC Network of Excellence for partially funding this work through a Collaboration Grant. They would like to thank as well Crist´obal Camarero for his help. This work has been supported by the Spanish Ministry of Education, FPU grants FPU13/00337 and FPU14/02253, the Spanish Ministry of Economy, Industry and Competitiveness under contract TIN2016-76635-C2-2-R (AEI/FEDER, UE), and by the Mont-Blanc project. The Mont-Blanc project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 671697. Santander Supercomputacion support group from the University of Cantabria provided access to the Altamira Supercomputer at the Institute of Physics of Cantabria (IFCA-CSIC).
dc.format.extent15 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
dc.subject.lcshComputer networks -- Design and construction
dc.subject.lcshBig data
dc.subject.lcshTelecommunication -- Traffic -- Management
dc.subject.lcshParallel processing (Electronic computers)
dc.subject.otherGraph500 benchmark
dc.subject.otherNetwork evaluation
dc.subject.otherScalable simulation tools
dc.subject.otherSystem interconnect
dc.titleA scalable synthetic traffic model of Graph500 for computer networks analysis
dc.typeArticle
dc.subject.lemacOrdinadors, Xarxes d' -- Disseny i construcció
dc.subject.lemacMacrodades
dc.subject.lemacTelecomunicació -- Tràfic -- Gestió
dc.subject.lemacProcessament en paral·lel (Ordinadors)
dc.contributor.groupUniversitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions
dc.identifier.doi10.1002/cpe.4231
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://onlinelibrary.wiley.com/resolve/doi?DOI=10.1002/cpe.4231
dc.rights.accessOpen Access
local.identifier.drac21682185
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO/PE2013-2016/TIN2016-76635-C2-2- R
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/671697/EU/Mont-Blanc 3, European scalable and power efficient HPC platformbased on low-power embedded technology/Mont-Blanc 3
local.citation.authorFuentes, P.; Benito, M.; Vallejo, E.; Bosque, J.; Beivide, R.; Anghel, A.; Rodríguez, G.; Gusat, M.; Minkenberg, C.; Valero, M.
local.citation.publicationNameConcurrency and computation. Practice and experience
local.citation.volume29
local.citation.number24
local.citation.startingPage1
local.citation.endingPage15


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