From Big Data to Big Displays High-Performance Visualization at Blue Brain

Stefan Eilemann, Marwan Abdellah, Nicolas Antille, Ahmet Bilgili, Grigory Chevtchenko, Raphael Dumusc, Cyrille Favreau, Juan Hernando, Daniel Nachbaur, Pawel Podhajski, Jafet Villafranca, Felix Schürmann

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Scopus citations

Abstract

Blue Brain has pushed high-performance visualization (HPV) to complement its HPC strategy since its inception in 2007. In 2011, this strategy has been accelerated to develop innovative visualization solutions through increased funding and strategic partnerships with other research institutions. We present the key elements of this HPV ecosystem, which integrates C++ visualization applications with novel collaborative display systems. We motivate how our strategy of transforming visualization engines into services enables a variety of use cases, not only for the integration with high-fidelity displays, but also to build service oriented architectures, to link into web applications and to provide remote services to Python applications.
Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science
PublisherSpringer Nature
Pages662-675
Number of pages14
ISBN (Print)9783319676296
DOIs
StatePublished - Oct 20 2017
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: This publication was supported by the Blue Brain Project (BBP), the Swiss National Science Foundation under Grant 200020-129525, the King Abdullah University of Science and Technology (KAUST) through the KAUST-EPFL alliance for Neuro-Inspired High Performance Computing, the Spanish Ministry of Science and Innovation under grant (TIN2010-21289-C02-01/02), the Cajal Blue Brain Project, Hasler Stiftung Projekt Nr. 12097, and from the European Unions Horizon 2020 research and innovation programme under grant agreement No 720270 (HBP SGA1). We would also like to thank the people from GMRV at the Rey Juan Carlos University (URJC) for their collaboration under the Cajal Blue Brain and HBP projects.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.

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