Remote parallel rendering for high-resolution tiled display walls

Daniel Nachbaur; Raphael Dumusc; Ahmet Bilgili; Juan Hernando; Stefan Eilemann

doi:10.1109/ldav.2014.7013217

Remote parallel rendering for high-resolution tiled display walls

Daniel Nachbaur, Raphael Dumusc, Ahmet Bilgili, Juan Hernando, Stefan Eilemann

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

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.

Original language	English (US)
Title of host publication	2014 IEEE 4th Symposium on Large Data Analysis and Visualization (LDAV)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	117-118
Number of pages	2
ISBN (Print)	9781479952151
DOIs	https://doi.org/10.1109/ldav.2014.7013217
State	Published - Nov 2014
Externally published	Yes

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: 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.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.

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10.1109/ldav.2014.7013217

Cite this

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title = "Remote parallel rendering for high-resolution tiled display walls",

abstract = "{\textcopyright} 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.",

author = "Daniel Nachbaur and Raphael Dumusc and Ahmet Bilgili and Juan Hernando and Stefan Eilemann",

note = "KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: 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. This publication acknowledges KAUST support, but has no KAUST affiliated authors.",

year = "2014",

month = nov,

doi = "10.1109/ldav.2014.7013217",

language = "English (US)",

isbn = "9781479952151",

pages = "117--118",

booktitle = "2014 IEEE 4th Symposium on Large Data Analysis and Visualization (LDAV)",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

}

TY - GEN

T1 - Remote parallel rendering for high-resolution tiled display walls

AU - Nachbaur, Daniel

AU - Dumusc, Raphael

AU - Bilgili, Ahmet

AU - Hernando, Juan

AU - Eilemann, Stefan

N1 - KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: 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. This publication acknowledges KAUST support, but has no KAUST affiliated authors.

PY - 2014/11

Y1 - 2014/11

N2 - © 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.

AB - © 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.

UR - http://hdl.handle.net/10754/599496

UR - http://ieeexplore.ieee.org/document/7013217/

UR - http://www.scopus.com/inward/record.url?scp=84946688141&partnerID=8YFLogxK

U2 - 10.1109/ldav.2014.7013217

DO - 10.1109/ldav.2014.7013217

M3 - Conference contribution

SN - 9781479952151

SP - 117

EP - 118

BT - 2014 IEEE 4th Symposium on Large Data Analysis and Visualization (LDAV)

PB - Institute of Electrical and Electronics Engineers (IEEE)

ER -

Remote parallel rendering for high-resolution tiled display walls

Abstract

Bibliographical note

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