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dc.contributor.authorNachbaur, Daniel
dc.contributor.authorDumusc, Raphael
dc.contributor.authorBilgili, Ahmet
dc.contributor.authorHernando, Juan
dc.contributor.authorEilemann, Stefan
dc.date.accessioned2016-02-28T05:52:12Z
dc.date.available2016-02-28T05:52:12Z
dc.date.issued2014-11
dc.identifier.citationNachbaur D, Dumusc R, Bilgili A, Hernando J, Eilemann S (2014) Remote parallel rendering for high-resolution tiled display walls. 2014 IEEE 4th Symposium on Large Data Analysis and Visualization (LDAV). Available: http://dx.doi.org/10.1109/ldav.2014.7013217.
dc.identifier.doi10.1109/ldav.2014.7013217
dc.identifier.urihttp://hdl.handle.net/10754/599496
dc.description.abstract© 2014 IEEE. We present a complete, robust and simple to use hardware and software stack delivering remote parallel rendering of complex geometrical and volumetric models to high resolution tiled display walls in a production environment. We describe the setup and configuration, present preliminary benchmarks showing interactive framerates, and describe our contributions for a seamless integration of all the software components.
dc.description.sponsorshipThis work was supported in part by the Blue Brain Project, the SwissNational Science Foundation under Grant 200020-129525, by theSpanish Ministry of Economy and Competitiveness under the CajalBlue Brain Project, the European Union Seventh Framework Programme(FP7/2007-2013) under grant agreement no. 604102 (HumanBrain Project) and the King Abdullah University of Science andTechnology (KAUST) through the KAUST-EPFL alliance for NeuroinspiredHigh Performance Computing. We would also like to thankgithub for providing an excellent infrastructure hosting our projects athttp://github.com/Bluebrain and http://github.com/Eyescale.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectinteractive remote rendering
dc.subjectparallel rendering
dc.subjecttiled displays
dc.titleRemote parallel rendering for high-resolution tiled display walls
dc.typeConference Paper
dc.identifier.journal2014 IEEE 4th Symposium on Large Data Analysis and Visualization (LDAV)
dc.contributor.institutionEPFL, Lausanne, Sweden
dc.contributor.institutionUniversidad Politecnica de Madrid, Madrid, Spain


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