From Big Data to Big Displays: High-Performance Visualization at Blue Brain
| Autor: | Daniel Nachbaur, Felix Schürmann, Juan Hernando, Jafet Villafranca, Grigory Chevtchenko, Marwan Abdellah, Ahmet Bilgili, Cyrille Favreau, Stefan Eilemann, Pawel Podhajski, Raphael Dumusc, Nicolas Antille |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
FOS: Computer and information sciences
business.industry Computer science Big data 020207 software engineering 02 engineering and technology Data science Graphics (cs.GR) Visualization Complement (complexity) Computer Science - Graphics Computer Science - Distributed Parallel and Cluster Computing 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Distributed Parallel and Cluster Computing (cs.DC) business |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783319676296 ISC Workshops |
| Popis: | 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. ISC 2017 Visualization at Scale workshop |
| Databáze: | OpenAIRE |
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