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

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

Type

Book Chapter

Authors

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

Date

2017-10-20

Online Publication Date

2017-10-20

Print Publication Date

2017

Permanent link to this record

http://hdl.handle.net/10754/626702

Metadata

Show full item record

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.

Citation

Eilemann S, Abdellah M, Antille N, Bilgili A, Chevtchenko G, et al. (2017) From Big Data to Big Displays High-Performance Visualization at Blue Brain. High Performance Computing: 662–675. Available: http://dx.doi.org/10.1007/978-3-319-67630-2_47.

Sponsors

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.