1 to 10 of 176 Results
Jun 30, 2023
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... |
Tabular Data - 2.6 KB - 8 Variables, 40 Observations - UNF:6:Gyd2+hfikqjDrtF9l1chAQ==
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Tabular Data - 2.7 KB - 8 Variables, 40 Observations - UNF:6:TXxJmzgVjyazLFvtcnSTYg==
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Tabular Data - 2.8 KB - 8 Variables, 40 Observations - UNF:6:8hdfrXrMaWcNyXtIGFJLvw==
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Tabular Data - 7.8 KB - 8 Variables, 112 Observations - UNF:6:AMlwKgpBjhYNLGclBdwOCA==
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Tabular Data - 7.7 KB - 8 Variables, 112 Observations - UNF:6:1ioGVOXEYxwTn5VbGcJH/g==
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Jun 6, 2023
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... |
Jun 6, 2023 -
Poster for deRSE19 Conference: Software Sustainability for the Open-Source Particle Visualization Framework MegaMol
Adobe PDF - 3.2 MB -
MD5: 99a4ae7dd71ba7273c096e4127be275c
Final Exported Version |
Jun 6, 2023 -
Poster for deRSE19 Conference: Software Sustainability for the Open-Source Particle Visualization Framework MegaMol
MS Powerpoint - 16.2 MB -
MD5: e3390cb22a5803def68b444aa2a4dcf2
Original Source |
Apr 3, 2023
Vriend, Sita; Vidyapu, Sandeep; Rama, Amer; Chen, Kun-Ting; Weiskopf, Daniel, 2023, "Supplemental Material for "Which Experimental Design is Better Suited for VQA Tasks? - Eye Tracking Study on Cognitive Load, Performance, and Gaze Allocations"", https://doi.org/10.18419/darus-3380, DaRUS, V1, UNF:6:mnjCJZLU4zgl+uXCgQV5fA== [fileUNF]
We investigated the effect of stimulus-question ordering and modality in which the question is presented of a user study with visual question answering (VQA) tasks. In an eye-tracking user study (N=13), we tested 5 conditions within-subjects. The conditions were counter-balanced... |