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Subject: Computer and Information Science Keyword Term: Visualization License: CC BY 4.0

1 to 8 of 8 Results

Your visualisations are going places: Performance data for scientific visualisation on gaming consoles Mar 1, 2024 - SFB-TRR 161 INF "Collaboration Infrastructure" Becher, Michael; Müller, Christoph; Reina, Guido; Weiskopf, Daniel; Ertl, Thomas, 2024, "Your visualisations are going places: Performance data for scientific visualisation on gaming consoles", https://doi.org/10.18419/darus-4003, DaRUS, V1 The data set contains performance data (mainly frame times) for rendering spherical glyphs and scalar fields on Xbox Series consoles, mobile game consoles and a reference PC with different GPUs.
Supplemental Material for "Visual-Explainable AI: The Use Case of Language Models" Jul 25, 2023 - PN 6-4 Munz-Körner, Tanja; Künzel, Sebastian; Weiskopf, Daniel, 2023, "Supplemental Material for "Visual-Explainable AI: The Use Case of Language Models"", https://doi.org/10.18419/darus-3456, DaRUS, V1 Supplemental material for the poster "Visual-Explainable AI: The Use Case of Language Models" published at the International Conference on Data-Integrated Simulation Science 2023. Collection of videos and images showing our interactive visualization systems for exploring language...
Supplemental Material for "Efficient Sphere Rendering Revisited" Jun 30, 2023 - Visualisierungsinstitut der Universität Stuttgart Gralka, Patrick; Reina, Guido; Ertl, Thomas, 2023, "Supplemental Material for "Efficient Sphere Rendering Revisited"", https://doi.org/10.18419/darus-3458, DaRUS, V1, UNF:6:VW7v4J+gjbFfXZ4iHlkqaw== [fileUNF] This dataset contains the measured rendering times (in milliseconds) for all tested GPUs in the paper "Efficient Sphere Rendering Revisited". The timings have been measured in the visualization software MegaMol on the following hardware: AMD Ryzen 9 5900X (12c @ 4.7GHz); 64GB DDR...
Poster for deRSE19 Conference: Software Sustainability for the Open-Source Particle Visualization Framework MegaMol Jun 6, 2023 - Visualisierungsinstitut der Universität Stuttgart Braun, Matthias; Reina, Guido; Ertl, Thomas, 2023, "Poster for deRSE19 Conference: Software Sustainability for the Open-Source Particle Visualization Framework MegaMol", https://doi.org/10.18419/darus-3542, DaRUS, V1 MegaMol is an open-source prototyping framework for the interactive visualization of large particle-based data. Its flexible, modular architecture allows it also to serve as development platform for general visualization research. As outlined in the proposal, we planned to improv...
Supplemental Material for "Can Image Data Facilitate Reproducibility of Graphics and Visualizations? Towards a Trusted Scientific Practice" Mar 2, 2023 - Visualisierungsinstitut der Universität Stuttgart Reina, Guido, 2023, "Supplemental Material for "Can Image Data Facilitate Reproducibility of Graphics and Visualizations? Towards a Trusted Scientific Practice"", https://doi.org/10.18419/darus-3345, DaRUS, V1 This data set contains the visualization pipeline states and resulting images for the example scenarios as listed in the manuscript. The auxiliary python scripts are contained for reference, but can be obtained from the MegaMol source code as well (https://github.com/UniStuttgart...
"Research Data Curation in Visualization : Position Paper" (Data) Sep 29, 2022 - SFB-TRR 161 INF "Collaboration Infrastructure" Garkov, Dimitar; Müller, Christoph; Braun, Matthias; Weiskopf, Daniel; Schreiber, Falk, 2022, ""Research Data Curation in Visualization : Position Paper" (Data)", https://doi.org/10.18419/darus-3144, DaRUS, V1, UNF:6:yUhRXAoSoLD387EnHtthFg== [fileUNF] Here, we make available the supplemental material regarding data collection from the publicaiton "Research Data Curation in Visualization : Position Paper". The dataset represents an aggregated collection of the data policies of selected publication venues in the areas of visuali...
Energy consumption of scientific visualisation and data visualisation algorithms Aug 24, 2022 - SFB-TRR 161 A02 "Quantifying Visual Computing Systems" Müller, Christoph; Heinemann, Moritz; Weiskopf, Daniel; Ertl, Thomas, 2022, "Energy consumption of scientific visualisation and data visualisation algorithms", https://doi.org/10.18419/darus-3044, DaRUS, V1, UNF:6:dEyIoAgP890tWqA/WShryw== [fileUNF] This data set comprises a series of measurements of GPU power consumption when raycasting spherical glyphs, raycasting scalar fields and when showing web-based data visualisation on Observable HQ. The data sets for sphere rendering were: pos_rad_intensity : 500000 : 0 : 10 10 10...
Supplemental Material for the paper : Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures Jul 11, 2022 - SFB-TRR 161 A08 "A Learning-Based Research Methodology for Visualization" Angerbauer, Katrin; Rodrigues, Nils; Cutura, Rene; Öney, Seyda; Pathmanathan, Nelusa; Morariu, Cristina; Weiskopf, Daniel; Sedlmair, Michael, 2022, "Supplemental Material for the paper : Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures", https://doi.org/10.18419/darus-2608, DaRUS, V1, UNF:6:uNArOgq9AXAmdvLcE/mMVA== [fileUNF] Study data and supplemental material for the paper- Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures presented at CHI 2022. We performed a large scale data study on the color vision deficiency (CVDs) accessibility of pap...

Your visualisations are going places: Performance data for scientific visualisation on gaming consoles

Mar 1, 2024 - SFB-TRR 161 INF "Collaboration Infrastructure"

Becher, Michael; Müller, Christoph; Reina, Guido; Weiskopf, Daniel; Ertl, Thomas, 2024, "Your visualisations are going places: Performance data for scientific visualisation on gaming consoles", https://doi.org/10.18419/darus-4003, DaRUS, V1

The data set contains performance data (mainly frame times) for rendering spherical glyphs and scalar fields on Xbox Series consoles, mobile game consoles and a reference PC with different GPUs.

Supplemental Material for "Visual-Explainable AI: The Use Case of Language Models"

Jul 25, 2023 - PN 6-4

Munz-Körner, Tanja; Künzel, Sebastian; Weiskopf, Daniel, 2023, "Supplemental Material for "Visual-Explainable AI: The Use Case of Language Models"", https://doi.org/10.18419/darus-3456, DaRUS, V1

Supplemental material for the poster "Visual-Explainable AI: The Use Case of Language Models" published at the International Conference on Data-Integrated Simulation Science 2023. Collection of videos and images showing our interactive visualization systems for exploring language...

Supplemental Material for "Efficient Sphere Rendering Revisited"

Jun 30, 2023 - Visualisierungsinstitut der Universität Stuttgart

Gralka, Patrick; Reina, Guido; Ertl, Thomas, 2023, "Supplemental Material for "Efficient Sphere Rendering Revisited"", https://doi.org/10.18419/darus-3458, DaRUS, V1, UNF:6:VW7v4J+gjbFfXZ4iHlkqaw== [fileUNF]

This dataset contains the measured rendering times (in milliseconds) for all tested GPUs in the paper "Efficient Sphere Rendering Revisited". The timings have been measured in the visualization software MegaMol on the following hardware: AMD Ryzen 9 5900X (12c @ 4.7GHz); 64GB DDR...

Poster for deRSE19 Conference: Software Sustainability for the Open-Source Particle Visualization Framework MegaMol

Jun 6, 2023 - Visualisierungsinstitut der Universität Stuttgart

Braun, Matthias; Reina, Guido; Ertl, Thomas, 2023, "Poster for deRSE19 Conference: Software Sustainability for the Open-Source Particle Visualization Framework MegaMol", https://doi.org/10.18419/darus-3542, DaRUS, V1

MegaMol is an open-source prototyping framework for the interactive visualization of large particle-based data. Its flexible, modular architecture allows it also to serve as development platform for general visualization research. As outlined in the proposal, we planned to improv...

Supplemental Material for "Can Image Data Facilitate Reproducibility of Graphics and Visualizations? Towards a Trusted Scientific Practice"

Mar 2, 2023 - Visualisierungsinstitut der Universität Stuttgart

Reina, Guido, 2023, "Supplemental Material for "Can Image Data Facilitate Reproducibility of Graphics and Visualizations? Towards a Trusted Scientific Practice"", https://doi.org/10.18419/darus-3345, DaRUS, V1

This data set contains the visualization pipeline states and resulting images for the example scenarios as listed in the manuscript. The auxiliary python scripts are contained for reference, but can be obtained from the MegaMol source code as well (https://github.com/UniStuttgart...

"Research Data Curation in Visualization : Position Paper" (Data)

Sep 29, 2022 - SFB-TRR 161 INF "Collaboration Infrastructure"

Garkov, Dimitar; Müller, Christoph; Braun, Matthias; Weiskopf, Daniel; Schreiber, Falk, 2022, ""Research Data Curation in Visualization : Position Paper" (Data)", https://doi.org/10.18419/darus-3144, DaRUS, V1, UNF:6:yUhRXAoSoLD387EnHtthFg== [fileUNF]

Here, we make available the supplemental material regarding data collection from the publicaiton "Research Data Curation in Visualization : Position Paper". The dataset represents an aggregated collection of the data policies of selected publication venues in the areas of visuali...

Energy consumption of scientific visualisation and data visualisation algorithms

Aug 24, 2022 - SFB-TRR 161 A02 "Quantifying Visual Computing Systems"

Müller, Christoph; Heinemann, Moritz; Weiskopf, Daniel; Ertl, Thomas, 2022, "Energy consumption of scientific visualisation and data visualisation algorithms", https://doi.org/10.18419/darus-3044, DaRUS, V1, UNF:6:dEyIoAgP890tWqA/WShryw== [fileUNF]

This data set comprises a series of measurements of GPU power consumption when raycasting spherical glyphs, raycasting scalar fields and when showing web-based data visualisation on Observable HQ. The data sets for sphere rendering were: pos_rad_intensity : 500000 : 0 : 10 10 10...

Supplemental Material for the paper : Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures

Jul 11, 2022 - SFB-TRR 161 A08 "A Learning-Based Research Methodology for Visualization"

Angerbauer, Katrin; Rodrigues, Nils; Cutura, Rene; Öney, Seyda; Pathmanathan, Nelusa; Morariu, Cristina; Weiskopf, Daniel; Sedlmair, Michael, 2022, "Supplemental Material for the paper : Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures", https://doi.org/10.18419/darus-2608, DaRUS, V1, UNF:6:uNArOgq9AXAmdvLcE/mMVA== [fileUNF]

Study data and supplemental material for the paper- Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures presented at CHI 2022. We performed a large scale data study on the color vision deficiency (CVDs) accessibility of pap...

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