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May 14, 2020
Project INF supports the other projects of SFB/Transregio 161 by providing a central approach to data management and an infrastructure for virtual meetings in a large, high-resolution display scenario. |
May 14, 2020
The long-term goal of this project is to quantify visual computing systems, i.e.to assess, model and ultimately predict important characteristics that have a substantial impact on user experience. |
May 28, 2020 - SFB-TRR 161 A02 "Quantifying Visual Computing Systems"
Bruder, Valentin; Müller, Christoph; Frey, Steffen; Ertl, Thomas, 2020, "Runtime performance measurements of interactive visualisation algorithms", https://doi.org/10.18419/darus-810, DaRUS, V1
Runtime performance measurements for GPU-based direct volume rendering and GPU-based raycasting of spherical particles on ten different discrete graphics processing units from AMD and NVIDIA. The data set at hand systematically evaluates typical factors influencing performance of... |
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Sample rendering of the "bat.dat" data set, |
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Sample rendering of the "bonsai.dat" data set. |
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Sample rendering of the "bunny.dat" data set. |
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Sample rendering of the "chameleon.dat" data set. |
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Sample rendering of the "engine.dat" data set. |
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Sample rendering of the "exp2mill_signed_distance_00030.mmpld" data set. |
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Sample rendering of the "foot.dat" data set. |