Leveraging BC6H Texture Compression and Filtering for Efficient Vector Field Visualization

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dc.contributor.authorOehrl, Simonen_US
dc.contributor.authorMilke, Jan Friederen_US
dc.contributor.authorKoenen, Jensen_US
dc.contributor.authorKuhlen, Torsten W.en_US
dc.contributor.authorGerrits, Timen_US
dc.contributor.editorGuthe, Michaelen_US
dc.contributor.editorGrosch, Thorstenen_US
dc.date.accessioned2023-09-25T11:38:52Z
dc.date.available2023-09-25T11:38:52Z
dc.date.issued2023
dc.description.abstractThe steady advance of compute hardware is accompanied by an ever-steeper amount of data to be processed for visualization. Limited memory bandwidth provides a significant bottleneck to the runtime performance of visualization algorithms while limited video memory requires complex out-of-core loading techniques for rendering large datasets. Data compression methods aim to overcome these limitations, potentially at the cost of information loss. This work presents an approach to the compression of large data for flow visualization using the BC6H texture compression format natively supported, and therefore effortlessly leverageable, on modern GPUs. We assess the performance and accuracy of BC6H for compression of steady and unsteady vector fields and investigate its applicability to particle advection. The results indicate an improvement in memory utilization as well as runtime performance, at a cost of moderate loss in precision.en_US
dc.description.sectionheadersImage Processing
dc.description.seriesinformationVision, Modeling, and Visualization
dc.identifier.doi10.2312/vmv.20231238
dc.identifier.isbn978-3-03868-232-5
dc.identifier.pages157-164
dc.identifier.pages8 pages
dc.identifier.urihttps://doi.org/10.2312/vmv.20231238
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vmv20231238
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies → Image compression; Graphics processors; Human-centered computing → Visualization
dc.subjectComputing methodologies → Image compression
dc.subjectGraphics processors
dc.subjectHuman
dc.subjectcentered computing → Visualization
dc.titleLeveraging BC6H Texture Compression and Filtering for Efficient Vector Field Visualizationen_US
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