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Using Instancing to Efficiently Render Carbon Nanotubes

Burger, Michael ; Bischof, Christian (2022):
Using Instancing to Efficiently Render Carbon Nanotubes. (Publisher's Version)
In: 3rd International Workshop on Computational Engineering : Book of Abstracts, pp. 206-210,
Darmstadt, 3rd International Workshop on Computational Engineering, Stuttgart, Germany, 06.-10.10.2014, DOI: 10.26083/tuprints-00021263,
[Conference or Workshop Item]

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Item Type: Conference or Workshop Item
Origin: Secondary publication service
Status: Publisher's Version
Title: Using Instancing to Efficiently Render Carbon Nanotubes
Language: English
Abstract:

In this paper, we present an effcient way to visualize Super Carbon Nanotubes (SCNTs). SCNTs are complex, hierarchical structures and their models easily consist of more than 1 million atoms. Our SCNTs are modeled as graphs of uniform nodes and egdes. We show that OpenGL instancing is a very suitable technique for rendering such large graphs, because they only consist of two different types of geometry. Our visualizer software exploits this property and we demonstrate that it allows to render the tubes in a fashion that is time- and space-effective. We implemented auto-tuning of the model to the underlying graphics card through adaptive mesh-resolution-choices. We also designed and implemented our own shading programs in the OpenGL Shading Language (GLSL) to realize a sufficient but performant and configurable lighting computation. This allows us to render big models even on laptop GPUs and to cope with models that consist of 150 million triangles, which is still a challenging amount for most of today's graphics cards.

Book Title: 3rd International Workshop on Computational Engineering : Book of Abstracts
Place of Publication: Darmstadt
Classification DDC: 000 Allgemeines, Informatik, Informationswissenschaft > 004 Informatik
Divisions: 20 Department of Computer Science > Interactive Graphics Systems
20 Department of Computer Science > Scientific Computing
Event Title: 3rd International Workshop on Computational Engineering
Event Location: Stuttgart, Germany
Event Dates: 06.-10.10.2014
Date Deposited: 06 May 2022 10:28
Last Modified: 06 May 2022 10:29
DOI: 10.26083/tuprints-00021263
Corresponding Links:
URN: urn:nbn:de:tuda-tuprints-212630
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/21263
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