Adaptive Raymarching and Multi-Sampled Pre-integration on Graphics Hardware: Application to the Visualization of Gyrokinetic Plasmas Simulations

Jean-François El Hajjar; Florence Zara; Jean-Michel Dischler; Virginie Grandgirard

inria-00090720, version 3

Adaptive Raymarching and Multi-Sampled Pre-integration on Graphics Hardware: Application to the Visualization of Gyrokinetic Plasmas Simulations

Jean-François El Hajjar ¹, Florence Zara ()^a^, 2, Jean-Michel Dischler^b^, 3, 4, Virginie Grandgirard ⁵

N° RR-5974 (2006)

Abstract: The study of plasmas is a rising research topic in the field of physics. It implies the need for specific algorithms allowing physicists to easily visualize and thus correctly interpret related complex datasets. This paper describes an innovative and highly efficient volume rendering method designed for gyrokinetic simulations. Based on a Raymarching approach that benefits from the latest functionalities offered by current graphics programmable hardware, we exploit the geometrical properties of the tokamak (a physical device used to create plasmas) in order to achieve a rendering at interactive framerates. We therefore introduce a novel and general method for Raymarching volumes with an adaptive step. A good approximation of the rays' continuous integration is obtained by introducing a Multi-Sampled Pre-integrated table. A comparison with a recent gyrokinetic simulations visualization technique demonstrates the improved efficiency of our approach in terms of framerate and quality.

a – Université Claude Bernard - Lyon I
b – Université Louis Pasteur - Strasbourg I
1: XLIM (XLIM)
CNRS : UMR6172 – Université de Limoges
2: Laboratoire d'InfoRmatique en Images et Systèmes d'Information (LIRIS)
CNRS : UMR5205 – Université Claude Bernard - Lyon I – Université Lumière - Lyon II – Institut National des Sciences Appliquées (INSA) - Lyon – Ecole Centrale de Lyon
3: CALVI (INRIA Nancy - Grand Est / IECN / LSIIT / IRMA)
CNRS : UMR7005 – INRIA – Université de Strasbourg – Université de Lorraine
4: Laboratoire des Sciences de l'Image, de l'Informatique et de la Télédétection (LSIIT)
CNRS : UMR7005 – Université Louis Pasteur - Strasbourg I
5: Département de Recherche sur la Fusion Contrôlée (DRFC)
CEA : DSM/DRFC

inria-00090720, version 3
http://hal.inria.fr/inria-00090720
oai:hal.inria.fr:inria-00090720
From: Rapport De Recherche Inria <>
Submitted on: Friday, 8 September 2006 16:28:48
Updated on: Thursday, 6 January 2011 19:20:18

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%% inria-00090720, version 3
%% http://hal.inria.fr/inria-00090720
@techreport{elhajjar:inria-00090720,
    hal_id = {inria-00090720},
    url = {http://hal.inria.fr/inria-00090720},
    title = {{Adaptive Raymarching and Multi-Sampled Pre-integration on Graphics Hardware: Application to the Visualization of Gyrokinetic Plasmas Simulations}},
    author = {El Hajjar, Jean-Fran{\c c}ois and Zara, Florence and Dischler, Jean-Michel and Grandgirard, Virginie},
    abstract = {{The study of plasmas is a rising research topic in the field of physics. It implies the need for specific algorithms allowing physicists to easily visualize and thus correctly interpret related complex datasets. This paper describes an innovative and highly efficient volume rendering method designed for gyrokinetic simulations. Based on a Raymarching approach that benefits from the latest functionalities offered by current graphics programmable hardware, we exploit the geometrical properties of the tokamak (a physical device used to create plasmas) in order to achieve a rendering at interactive framerates. We therefore introduce a novel and general method for Raymarching volumes with an adaptive step. A good approximation of the rays' continuous integration is obtained by introducing a Multi-Sampled Pre-integrated table. A comparison with a recent gyrokinetic simulations visualization technique demonstrates the improved efficiency of our approach in terms of framerate and quality.}},
    keywords = {graphics hardware, plasma physics, texture-based methods, volume visualization, raymarching, pre-integration},
    language = {English},
    affiliation = {XLIM - XLIM , Laboratoire d'InfoRmatique en Images et Syst{\`e}mes d'Information - LIRIS , CALVI - INRIA Nancy - Grand Est / IECN / LSIIT / IRMA , Laboratoire des Sciences de l'Image, de l'Informatique et de la T{\'e}l{\'e}d{\'e}tection - LSIIT , D{\'e}partement de Recherche sur la Fusion Contr{\^o}l{\'e}e - DRFC},
    pages = {17},
    type = {Research Report},
    institution = {INRIA},
    number = {RR-5974},
    year = {2006},
    pdf = {http://hal.inria.fr/inria-00090720/PDF/RR-5974.pdf},
}

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