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dc.contributor.authorAguilar, Xavier
dc.contributor.authorSchliephake, Michael
dc.contributor.authorVahtras, Olav
dc.contributor.authorGiménez Lucas, Judit
dc.contributor.authorLaure, Erwin
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.date.accessioned2013-11-13T19:45:09Z
dc.date.created2013-10
dc.date.issued2013-10
dc.identifier.citationAguilar, X. [et al.]. Scalability analysis of Dalton, a molecular structure program. "Future generation computer systems", Octubre 2013, vol. 29, núm. 8, p. 2197-2204.
dc.identifier.issn0167-739X
dc.identifier.urihttp://hdl.handle.net/2117/20601
dc.description.abstractDalton is a molecular electronic structure program featuring common methods of computational chemistry that are based on pure quantum mechanics (QM) as well as hybrid quantum mechanics/molecular mechanics (QM/MM). It is specialized and has a leading position in calculation of molecular properties with a large world-wide user community (over 2000 licenses issued). In this paper, we present a performance characterization and optimization of Dalton. We also propose a solution to avoid the master/worker design of Dalton to become a performance bottleneck for larger process numbers. With these improvements we obtain speedups of 4x, increasing the parallel efficiency of the code and being able to run in it in a much bigger number of cores.
dc.format.extent8 p.
dc.language.isoeng
dc.publisherElsevier
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica
dc.subjectÀrees temàtiques de la UPC::Física::Mecànica quàntica
dc.subject.lcshQuantum theory
dc.subject.lcshMolecular structure
dc.subject.otherOptimization
dc.subject.otherPerformance analysis
dc.subject.otherScalability
dc.titleScalability analysis of Dalton, a molecular structure program
dc.typeArticle
dc.subject.lemacQuàntums, Teoria dels
dc.subject.lemacEstructura molecular
dc.identifier.doi10.1016/j.future.2013.04.013
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://www.sciencedirect.com/science/article/pii/S0167739X13000733
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac12883333
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/FP7/261523/EU/Scalable Software Services for Life Science/SCALALIFE
dc.date.lift10000-01-01
local.citation.authorAguilar, X.; Schliephake, M.; Vahtras, O.; Gimenez, J.; Laure, E.
local.citation.publicationNameFuture generation computer systems
local.citation.volume29
local.citation.number8
local.citation.startingPage2197
local.citation.endingPage2204


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