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dc.contributor.authorValero-Lara, Pedro
dc.contributor.authorSirvent, Raul
dc.contributor.authorPena, A. J.
dc.contributor.authorMartorell Bofill, Xavier
dc.contributor.authorLabarta Mancho, Jesús José
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.contributor.otherBarcelona Supercomputing Center
dc.date.accessioned2019-01-08T15:09:57Z
dc.date.issued2018
dc.identifier.citationValero-Lara, P., Sirvent, R., Pena, A., Martorell, X., Labarta, J. MPI+OpenMP tasking scalability for the simulation of the human brain. A: European MPI Users' Group Meeting. "EuroMPI 2018: proceedings of the 25th European MPI Users’ Group Meeting: Barcelona, Spain: September 23-26, 2018". New York: Association for Computing Machinery (ACM), 2018, p. 1-8.
dc.identifier.isbn978-1-4503-6492-8
dc.identifier.urihttp://hdl.handle.net/2117/126301
dc.description.abstractThe simulation of the behavior of the Human Brain is one of the most ambitious challenges today with a non-end of important applications. We can find many different initiatives in the USA, Europe and Japan which attempt to achieve such a challenging target. In this work we focus on the most important European initiative (Human Brain Project) and on one of the tools (Arbor). This tool simulates the spikes triggered in a neuronal network by computing the voltage capacitance on the neurons' morphology, being one of the most precise simulators today. In the present work, we have evaluated the use of MPI+OpenMP tasking on top of the Arbor simulator. In this paper, we present the main characteristics of the Arbor tool and how these can be efficiently managed by using MPI+OpenMP tasking. We prove that this approach is able to achieve a good scaling even when computing a relatively low workload (number of neurons) per node using up to 32 nodes. Our target consists of achieving not only a highly scalable implementation based on MPI, but also to develop a tool with a high degree of abstraction without losing control and performance by using MPI+OpenMP tasking.
dc.description.sponsorshipWe would like to apreciate the valuable feedback and help provided by Benjamin Cumming and Alexander Peyser. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 720270 (HBP SGA1 and HBP SGA2), from the Spanish Ministry of Economy and Competitiveness under the project Computacion de Altas Prestaciones VII (TIN2015- ´ 65316-P) and the Departament d’Innovacio, Universitats i ´ Empresa de la Generalitat de Catalunya, under project MPEXPAR: Models de Programacio i Entorns d’Execuci ´ o Paral ´ ·lels (2014-SGR-1051). This project has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska Curie grand agreement No.749516
dc.format.extent8 p.
dc.language.isoeng
dc.publisherAssociation for Computing Machinery (ACM)
dc.subjectÀrees temàtiques de la UPC::Informàtica::Arquitectura de computadors::Arquitectures paral·leles
dc.subject.lcshParallel programming (Computer science)
dc.subject.otherArbor
dc.subject.otherHuman brain
dc.subject.otherMPI
dc.subject.otherOpenMP
dc.subject.otherSimulation
dc.subject.otherTasking application programming interfaces (API)
dc.subject.otherBehavioral research
dc.subject.otherBrain
dc.subject.otherCapacitance
dc.subject.otherNeural networks
dc.subject.otherArbor
dc.subject.otherHuman brain
dc.subject.otherOpenMP
dc.subject.otherSimulation
dc.subject.otherTasking
dc.subject.otherNeurons
dc.titleMPI+OpenMP tasking scalability for the simulation of the human brain
dc.typeConference report
dc.subject.lemacProgramació en paral·lel (Informàtica)
dc.contributor.groupUniversitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions
dc.identifier.doi10.1145/3236367.3236373
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://dl.acm.org/citation.cfm?id=3236373
dc.rights.accessOpen Access
local.identifier.drac23546935
dc.description.versionPostprint (author version)
dc.relation.projectidinfo:eu-repo/grantAgreement/AGAUR/PRI2005-2008/2009 SGR 980
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO//TIN2015-65316-P/ES/COMPUTACION DE ALTAS PRESTACIONES VII/
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/720270/EU/Human Brain Project Specific Grant Agreement 1/HBP SGA1
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/749516/EU/Advanced Ecosystem for Broad Heterogeneous Memory Usage/ECO-H-MEM
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/785907/EU/Human Brain Project Specific Grant Agreement 2/HBP SGA2
dc.date.lift10000-01-01
local.citation.authorValero-Lara, P.; Sirvent, R.; Pena, A.; Martorell, X.; Labarta, J.
local.citation.contributorEuropean MPI Users' Group Meeting
local.citation.pubplaceNew York
local.citation.publicationNameEuroMPI 2018: proceedings of the 25th European MPI Users’ Group Meeting: Barcelona, Spain: September 23-26, 2018
local.citation.startingPage1
local.citation.endingPage8


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