Kimmersdorfer, G., Wolf, D., & Waldner, M. (2023). WebGPU for Scalable Client-Side Aggregate Visualization. In C. Gillmann, M. Krone, & S. Lenti (Eds.), EuroVis 2023 - Posters (pp. 105–107). Eurographics. https://doi.org/10.2312/evp.20231079
E193-02 - Forschungsbereich Computer Graphics E193 - Institut für Visual Computing and Human-Centered Technology
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Published in:
EuroVis 2023 - Posters
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ISBN:
978-3-03868-220-2
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Date (published):
2023
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Event name:
25th EG Conference on Visualization (EuroVis 2023)
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Event date:
12-Jun-2023 - 16-Jun-2023
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Event place:
Leipzig, Germany
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Number of Pages:
3
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Publisher:
Eurographics
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Keywords:
Information visualization; Aggregate visualization; Scalable visualization; WebGPU
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Abstract:
WebGPU is a new graphics API, which now provides compute shaders for general purpose GPU operations in web browsers.We demonstrate the potential of this new technology for scalable information visualization by showing how to filter and aggregate a spatio-temporal dataset with millions of temperature measurements for real-time interactive exploration of climate change.
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Project title:
Joint Human-Machine Data Exploration: P 36453-N (FWF Fonds zur Förderung der wissenschaftlichen Forschung (FWF))
