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dc.contributor.authorPerez, Hugo
dc.contributor.authorHernandez, Benjamin
dc.contributor.authorRudomin, Isaac
dc.contributor.authorAyguadé Parra, Eduard
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.contributor.otherBarcelona Supercomputing Center
dc.date.accessioned2017-01-20T10:36:35Z
dc.date.issued2016-07-01
dc.identifier.citationPerez, H., Hernandez, B., Rudomin, I., Ayguade, E. Task-based crowd simulation for heterogeneous architectures. A: "Innovative research and applications in next-generation high performance computing". 2016, p. 194-219.
dc.identifier.isbn9781522502876
dc.identifier.urihttp://hdl.handle.net/2117/99745
dc.description.abstractIndustry trends in the coming years imply the availability of cluster computing with hundreds to thousands of cores per chip, as well as the use of accelerators. Programming presents a challenge due to this heterogeneous architecture; thus, using novel programming models that facilitate this process is necessary. In this chapter, the case of simulation and visualization of crowds is presented. The authors analyze and compare the use of two programming models: OmpSs and CUDA. OmpSs allows to take advantage of all the resources available per node by combining the CPU and GPU while automatically taking care of memory management, scheduling, communications and synchronization. Experimental results obtained from Fermi, Kepler and Maxwell GPU architectures are presented, and the different modes used for visualizing the results are described, as well.
dc.format.extent26 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Informàtica
dc.subject.lcshHigh performance computing
dc.subject.otherGeneration of Diversity (GoD)
dc.subject.otherIn-Situ Visualization
dc.subject.otherLevel of Detail (LoD)
dc.subject.otherProgramming Models
dc.subject.otherTask-based Parallelism
dc.titleTask-based crowd simulation for heterogeneous architectures
dc.typePart of book or chapter of book
dc.subject.lemacCàlcul intensiu (Informàtica)
dc.contributor.groupUniversitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions
dc.identifier.doi10.4018/978-1-5225-0287-6
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://www.igi-global.com/book/innovative-research-applications-next-generation/145466#table-of-contents
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac19378287
dc.description.versionPostprint (author's final draft)
dc.date.lift10000-01-01
local.citation.authorPerez, H.; Hernandez, B.; Rudomin, I.; Ayguade, E.
local.citation.publicationNameInnovative research and applications in next-generation high performance computing
local.citation.startingPage194
local.citation.endingPage219


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