Runtime performance measurements of interactive visualisation algorithms (doi:10.18419/darus-810)

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Runtime performance measurements of interactive visualisation algorithms

doi:10.18419/darus-810

DaRUS

2020-05-28

1

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 of interactive visualisation algorithms

doi:10.18419/darus-810

Bruder, Valentin (Universität Stuttgart)

Müller, Christoph (Universität Stuttgart)

Frey, Steffen (Universität Stuttgart)

Ertl, Thomas (Universität Stuttgart)

251654672

DaRUS

Ertl, Thomas

Müller, Christoph

2020-05-14

https://doi.org/10.18419/darus-810

Computer and Information Science, volume rendering, particle rendering, gpu benchmark, sphere raycasting, glyph raycasting

Visualization, Real-time rendering (Computer graphics)

<p>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 interactive visualisations like view-port size, data set size, camera position, etc. The volume raycaster is implemented in OpenCL whereas the particle raycaster is written in Direct3D11.</p> <p>The data set comprises the individual measurements as comma-separated values. The results for the volume raycasting and the particle rendering are stored in separate files compressed in zip archives (volume.zip and spheres.zip). Each line represents a measurement and all dependent and independent factors are given for that measurement. The machine-readable documentation in the additional JSON files (volume-description.json and spheres-description.json) describes these factors and specifies the data type in terms of .NET CLR types. The content of the XDF files volume.xdf and spheres.xdf is identical to the comma-separated values in volume.zip and spheres.zip. The files are provided for faster loading into R. The image files (grouped into the "renderings" folder in tree view) provide sample renderings of the data sets used for the performance measurements. These are intended for illustration purposes.</p>

2018-01-02-2018-04-28

experimental data

computer benchmark

Bruder, V., Müller, C., Frey, S., Ertl, T. (2019). On Evaluating Runtime Performance of Interactive Visualizations. IEEE Transactions on Visualization and Computer Graphics, 10.1109/TVCG.2019.2898435. Advance online publication.

10.1109/TVCG.2019.2898435

Bruder, V., Müller, C., Frey, S., Ertl, T. (2019). On Evaluating Runtime Performance of Interactive Visualizations. IEEE Transactions on Visualization and Computer Graphics, 10.1109/TVCG.2019.2898435. Advance online publication.

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spheres-description.json

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Machine-readable description of the data stored for the sphere raycasting benchmark (spheres.zip).

application/json

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spheres.xdf

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Results of the sphere raycasting benchmark stored in the revoAnalytics XDF format. These files typically load faster in R than text.

application/xcap-diff+xml

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spheres.zip

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Results of the sphere raycasting benchmark as comma-separated values.

application/zip

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volume-description.json

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Machine-readable description of the data stored for the volume rendering benchmark (volume.zip).

application/json

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volume.xdf

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Results of the volume rendering benchmark stored in the revoAnalytics XDF format. These files typically load faster in R than text.

application/xcap-diff+xml

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volume.zip

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Results of the volume rendering benchmark as comma-separated values.

application/zip

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bat.png

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Sample rendering of the "bat.dat" data set,

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bonsai.png

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Sample rendering of the "bonsai.dat" data set.

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bunny.png

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Sample rendering of the "bunny.dat" data set.

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chameleon.png

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Sample rendering of the "chameleon.dat" data set.

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engine.png

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Sample rendering of the "engine.dat" data set.

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exp2mill_crop.png

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Sample rendering of the "exp2mill_signed_distance_00030.mmpld" data set.

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foot.png

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Sample rendering of the "foot.dat" data set.

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foraminifera.png

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Sample rendering of the "foraminifera.dat" data set.

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freq0.png

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Sample rendering of the "freq_0.dat" data set.

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freq1.png

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Sample rendering of the "freq_1.dat" data set.

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freq256.png

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Sample rendering of the "freq_256.dat" data set.

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hazelnut.png

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Sample rendering of the "hazelnut.dat" data set.

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hoatzin.png

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Sample rendering of the "hoatzin.dat" data set.

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kingfisher.png

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Sample rendering of the "kingfisher.dat" data set.

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laser_small.png

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Sample rendering of teh "B5.vis1.mmpld" data set.

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mandelbulb.png

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Sample rendering of the "mandelbulb.dat" data set.

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megaridis_crop.png

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Sample rendering of the "megaridis-experimental.mmpld" data set.

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microtomography.png

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Sample rendering of the "microtomography.dat" data set.

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mouse.png

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Sample rendering of the "mouse.dat" data set.

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nova.png

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Sample rendering of the "nova.dat" data set.

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oc_sim42_crop.png

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Sample rendering of the "oc_sim42.mmpld" data set.

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phasenzerfall_small_crop.png

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Sample rendering of the "megamol_0000030000.mmpld" data set.

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random_small_bg.png

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Sample rendering of a particle data set randomly generated by TRRojan.

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skull.png

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Sample rendering of the "skull.dat" data set.

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visFemale.png

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Sample rendering of the "visFemale.dat" data set.

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zeiss.png

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Sample rendering of the "zeiss.dat" data set.

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