HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Conference papers

VisPy: Harnessing The GPU For Fast, High-Level Visualization

Luke Campagnola 1 Almar Klein 2 Eric Larson 3 Cyrille Rossant 4 Nicolas Rougier 5, 6, 7
1 UNC - University of North Carolina [Chapel Hill]
2 University of Twente [Netherlands]
3 University of Washington [Seattle]
4 APMN - Audition (Psychophysique, Modélisation, Neurosciences)
LSP - Laboratoire des systèmes perceptifs
5 Mnemosyne - Mnemonic Synergy
LaBRI - Laboratoire Bordelais de Recherche en Informatique, Inria Bordeaux - Sud-Ouest, IMN - Institut des Maladies Neurodégénératives [Bordeaux]
6 IMN - Institut des Maladies Neurodégénératives [Bordeaux]
7 LaBRI - Laboratoire Bordelais de Recherche en Informatique
Abstract : The growing availability of large, multidimensional data sets has created demand for high-performance, interactive visualization tools. VisPy leverages the GPU to provide fast, interactive, and beautiful visualizations in a high-level API. Here we introduce the main features, architecture, and techniques used in VisPy.
Keywords : interactive visualization plotting performance graphics opengl python
Document type :
Conference papers
Complete list of metadata

Cited literature [1 references]  Display  Hide  Download
https://hal.inria.fr/hal-01208191
Contributor : Nicolas P. Rougier Connect in order to contact the contributor
Submitted on : Tuesday, October 6, 2015 - 11:25:25 AM
Last modification on : Friday, March 18, 2022 - 3:10:35 AM
Long-term archiving on: : Thursday, January 7, 2016 - 10:13:24 AM

File

Vignette du document
vispy.pdf
Publisher files allowed on an open archive

Licence

Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

  • HAL Id : hal-01208191, version 1

Collections

CNRS | INRIA | ENS-PARIS | INRIA2 | LABRI-MABIOVIS | UNIV-BORDEAUX | PSL

Citation

Luke Campagnola, Almar Klein, Eric Larson, Cyrille Rossant, Nicolas Rougier. VisPy: Harnessing The GPU For Fast, High-Level Visualization. Proceedings of the 14th Python in Science Conference, Jul 2015, Austin, Texas, United States. ⟨hal-01208191⟩

Export

BibTeX TEI DC DCterms EndNote Datacite

Share

Metrics

Record views

663

Files downloads

1945

 

Contact                    Legal Notice                    Personal Data