Remote parallel rendering for high-resolution tiled display walls

Handle URI:
http://hdl.handle.net/10754/599496
Title:
Remote parallel rendering for high-resolution tiled display walls
Authors:
Nachbaur, Daniel; Dumusc, Raphael; Bilgili, Ahmet; Hernando, Juan; Eilemann, Stefan
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.
Citation:
Nachbaur 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.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2014 IEEE 4th Symposium on Large Data Analysis and Visualization (LDAV)
Issue Date:
Nov-2014
DOI:
10.1109/ldav.2014.7013217
Type:
Conference Paper
Sponsors:
This 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.
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Full metadata record

DC FieldValue Language
dc.contributor.authorNachbaur, Danielen
dc.contributor.authorDumusc, Raphaelen
dc.contributor.authorBilgili, Ahmeten
dc.contributor.authorHernando, Juanen
dc.contributor.authorEilemann, Stefanen
dc.date.accessioned2016-02-28T05:52:12Zen
dc.date.available2016-02-28T05:52:12Zen
dc.date.issued2014-11en
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.en
dc.identifier.doi10.1109/ldav.2014.7013217en
dc.identifier.urihttp://hdl.handle.net/10754/599496en
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.en
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.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.subjectinteractive remote renderingen
dc.subjectparallel renderingen
dc.subjecttiled displaysen
dc.titleRemote parallel rendering for high-resolution tiled display wallsen
dc.typeConference Paperen
dc.identifier.journal2014 IEEE 4th Symposium on Large Data Analysis and Visualization (LDAV)en
dc.contributor.institutionEPFL, Lausanne, Swedenen
dc.contributor.institutionUniversidad Politecnica de Madrid, Madrid, Spainen
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