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

Autor:	Eilemann, Stefan, Abdellah, Marwan, Antille, Nicolas, Bilgili, Ahmet, Chevtchenko, Grigory, Dumusc, Raphael, Favreau, Cyrille, Hernando, Juan, Nachbaur, Daniel, Podhajski, Pawel, Villafranca, Jafet, Schürmann, Felix
Rok vydání:	2017
Předmět:	Computer Science - Graphics Computer Science - Distributed Parallel and Cluster Computing
Druh dokumentu:	Working Paper
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. Comment: ISC 2017 Visualization at Scale workshop
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1706.10098 Zobrazit plný text záznamu View this record from Arxiv