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dc.contributor.authorKimmersdorfer, Geralden_US
dc.contributor.authorWolf, Dominiken_US
dc.contributor.authorWaldner, Manuelaen_US
dc.contributor.editorGillmann, Christinaen_US
dc.contributor.editorKrone, Michaelen_US
dc.contributor.editorLenti, Simoneen_US
dc.date.accessioned2023-06-10T06:31:51Z
dc.date.available2023-06-10T06:31:51Z
dc.date.issued2023
dc.identifier.isbn978-3-03868-220-2
dc.identifier.urihttps://doi.org/10.2312/evp.20231079
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/evp20231079
dc.description.abstractWebGPU 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.en_US
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing -> Information visualization; Visualization systems and tools
dc.subjectHuman centered computing
dc.subjectInformation visualization
dc.subjectVisualization systems and tools
dc.titleWebGPU for Scalable Client-Side Aggregate Visualizationen_US
dc.description.seriesinformationEuroVis 2023 - Posters
dc.identifier.doi10.2312/evp.20231079
dc.identifier.pages105-107
dc.identifier.pages3 pages


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Attribution 4.0 International License
Except where otherwise noted, this item's license is described as Attribution 4.0 International License