Rossant, C;
Rougier, N;
Comba, J;
Gaither, K;
(2021)
High-Performance Interactive Scientific Visualization With Datoviz via the Vulkan Low-Level GPU API.
Computing in Science and Engineering
, 23
(4)
pp. 85-90.
10.1109/MCSE.2021.3078345.
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Abstract
We reported initial work towards a new fast and scalable scientific visualization technology that leverages the Vulkan API to achieve unprecedented performance through GPUs. This technology is implemented in a C/C++ library called Datoviz that offers an intermediate-level API for scientific visualization libraries and software. Datoviz provides a unified graphics stack for 2-D, 3-D, graphical user interfaces, and natively supports efficient interactions between rendering and general-purpose GPU computing. A major direction of development is to investigate the integration of Datoviz as a low-level backend of a future version of VisPy, a popular Python scientific plotting library
Type: | Article |
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Title: | High-Performance Interactive Scientific Visualization With Datoviz via the Vulkan Low-Level GPU API |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1109/MCSE.2021.3078345 |
Publisher version: | https://doi.org/10.1109/MCSE.2021.3078345 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Science & Technology, Technology, Computer Science, Interdisciplinary Applications, Computer Science, Visualization, Graphics processing units, Rendering (computer graphics), Libraries, Software, Python, Graphical user interfaces |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Department of Neuromuscular Diseases |
URI: | https://discovery.ucl.ac.uk/id/eprint/10133838 |
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