Burger, Michael ; Bischof, Christian
Hrsg.: Mehl, Miriam (2014)
Using Instancing to Efficiently Render Carbon Nanotubes.
3rd International Workshop on Computational Engineering. Stuttgart, Germany (06.10.2014-10.10.2014)
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

In this paper, we present an efficient way to visualize Super Car- bon 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.

Typ des Eintrags:	Konferenzveröffentlichung
Erschienen:	2014
Herausgeber:	Mehl, Miriam
Autor(en):	Burger, Michael ; Bischof, Christian
Art des Eintrags:	Bibliographie
Titel:	Using Instancing to Efficiently Render Carbon Nanotubes
Sprache:	Englisch
Publikationsjahr:	Oktober 2014
Veranstaltungstitel:	3rd International Workshop on Computational Engineering
Veranstaltungsort:	Stuttgart, Germany
Veranstaltungsdatum:	06.10.2014-10.10.2014
URL / URN:	http://ipvs.informatik.uni-stuttgart.de/SGS/ICCE2014/
Zugehörige Links:	TUprints Zweitveröffentlichung
Kurzbeschreibung (Abstract):	In this paper, we present an efficient way to visualize Super Car- bon 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.
Schlagworte:	Einzelne Schlagworte Sprache nicht bekannt Englisch
Fachbereich(e)/-gebiet(e):	20 Fachbereich Informatik 20 Fachbereich Informatik > Scientific Computing Exzellenzinitiative Exzellenzinitiative > Graduiertenschulen Exzellenzinitiative > Graduiertenschulen > Graduate School of Computational Engineering (CE) Zentrale Einrichtungen
Hinterlegungsdatum:	26 Mär 2015 12:37
Letzte Änderung:	03 Jul 2024 02:22
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