Hypervolumetric Plasma-data Visualization

Florence Zara; Matthieu Haefele; Christophe Mion; Jean-Michel Dischler

inria-00090630, version 2

Hypervolumetric Plasma-data Visualization

Florence Zara ()^a^, 1, Matthieu Haefele ^2, 3, Christophe Mion ⁴, Jean-Michel Dischler^b^, 2, 3

N° RR-5971 (2006)

Abstract: Several techniques have been proposed to explore hypervolumetric datasets but most of them fail to be efficient when very large fields are to be processed. This report describes an interactive visualization technique designed to explore at real-time framerates very large hypervolumetric 4-D+t scalarfields (with up to 16GB raw data per time step). We introduce a new out-of-core scheme aiming at generalizing to hypervolumes, brick-based techniques, already standartly used for large volumetric (e. g. 3D) datasets. For a given time step, we visualize the entire 4-D space by displaying directly 2-D arrays of height fields, each height field representing a 2-D hyperslice of the 4-D space. The contribution of this work consists in introducing an efficient partitionning scheme, that we called hyper-bricks, in such a way that it overcomes all hardware bottlenecks, namely the progressive load from disk, the decompression time (CPU) and the display time (GPU). We show that our technique, further using a cache system and a level of detail representation allows users to explore the full hypervolume at real-time framerates even on low-end PCs with basic graphics cards. We mainly apply our technique to the interactive exploration of plasma behaviors resulting from large numerical semi-Lagrangian simulations.

a – Université Claude Bernard - Lyon I
b – Université Louis Pasteur - Strasbourg I
1: 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
2: CALVI (INRIA Nancy - Grand Est / IECN / LSIIT / IRMA)
CNRS : UMR7005 – INRIA – Université de Strasbourg – Université de Lorraine
3: Laboratoire des Sciences de l'Image, de l'Informatique et de la Télédétection (LSIIT)
CNRS : UMR7005 – Université Louis Pasteur - Strasbourg I
4: ISA (INRIA Lorraine - LORIA)
INRIA – CNRS : UMR7503 – Université Henri Poincaré - Nancy I – Université Nancy II – Institut National Polytechnique de Lorraine (INPL)

inria-00090630, version 2
http://hal.inria.fr/inria-00090630
oai:hal.inria.fr:inria-00090630
From: Rapport De Recherche Inria <>
Submitted on: Wednesday, 6 September 2006 10:52:08
Updated on: Wednesday, 6 September 2006 10:52:23

See detailed view

Associated documents

PS :

PDF :

Export

Bibtex EndNote TEI RefWorks

%% inria-00090630, version 2
%% http://hal.inria.fr/inria-00090630
@techreport{zara:inria-00090630,
    hal_id = {inria-00090630},
    url = {http://hal.inria.fr/inria-00090630},
    title = {{Hypervolumetric Plasma-data Visualization}},
    author = {Zara, Florence and Haefele, Matthieu and Mion, Christophe and Dischler, Jean-Michel},
    abstract = {{Several techniques have been proposed to explore hypervolumetric datasets but most of them fail to be efficient when very large fields are to be processed. This report describes an interactive visualization technique designed to explore at real-time framerates very large hypervolumetric 4-D+t scalarfields (with up to 16GB raw data per time step). We introduce a new out-of-core scheme aiming at generalizing to hypervolumes, brick-based techniques, already standartly used for large volumetric (e. g. 3D) datasets. For a given time step, we visualize the entire 4-D space by displaying directly 2-D arrays of height fields, each height field representing a 2-D hyperslice of the 4-D space. The contribution of this work consists in introducing an efficient partitionning scheme, that we called hyper-bricks, in such a way that it overcomes all hardware bottlenecks, namely the progressive load from disk, the decompression time (CPU) and the display time (GPU). We show that our technique, further using a cache system and a level of detail representation allows users to explore the full hypervolume at real-time framerates even on low-end PCs with basic graphics cards. We mainly apply our technique to the interactive exploration of plasma behaviors resulting from large numerical semi-Lagrangian simulations.}},
    keywords = {scientific visualisation, hyper-volumetric data, plasma physics, compression scheme},
    language = {English},
    affiliation = {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 , ISA - INRIA Lorraine - LORIA},
    pages = {16},
    type = {Research Report},
    institution = {INRIA},
    number = {RR-5971},
    year = {2006},
    pdf = {http://hal.inria.fr/inria-00090630/PDF/RR-5971.pdf},
}

<?xml version="1.0" encoding="UTF-8"?>
<listBibl xmlns="http://www.tei-c.org/ns/1.0" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML">
<listBibl type="report"><head>Research reports</head>
<biblStruct type="report" xml:id="inria-00090630"><monogr>
<author><persName><forename>Florence</forename><surname>Zara</surname></persName>
<affiliation>
<orgName type="laboratory">LIRIS</orgName>
<orgName type="team">Laboratoire d'InfoRmatique en Images et Systèmes d'Information</orgName>
<country>FR</country>
<orgName type="institution">CNRS : UMR5205</orgName>
<orgName type="institution">Université Claude Bernard - Lyon I</orgName>
<orgName type="institution">Université Lumière - Lyon II</orgName>
<orgName type="institution">Institut National des Sciences Appliquées (INSA) - Lyon</orgName>
<orgName type="institution">Ecole Centrale de Lyon</orgName>
</affiliation>
</author>
<author><persName><forename>Matthieu</forename><surname>Haefele</surname></persName>
<affiliation>
<orgName type="laboratory">INRIA Nancy - Grand Est / IECN / LSIIT / IRMA</orgName>
<orgName type="team">CALVI</orgName>
<country>FR</country>
<orgName type="institution">CNRS : UMR7005</orgName>
<orgName type="institution">INRIA</orgName>
<orgName type="institution">Université de Strasbourg</orgName>
<orgName type="institution">Université de Lorraine</orgName>
</affiliation>
<affiliation>
<orgName type="laboratory">LSIIT</orgName>
<orgName type="team">Laboratoire des Sciences de l'Image, de l'Informatique et de la Télédétection</orgName>
<country>FR</country>
<orgName type="institution">CNRS : UMR7005</orgName>
<orgName type="institution">Université Louis Pasteur - Strasbourg I</orgName>
</affiliation>
</author>
<author><persName><forename>Christophe</forename><surname>Mion</surname></persName>
<affiliation>
<orgName type="laboratory">INRIA Lorraine - LORIA</orgName>
<orgName type="team">ISA</orgName>
<country>FR</country>
<orgName type="institution">INRIA</orgName>
<orgName type="institution">CNRS : UMR7503</orgName>
<orgName type="institution">Université Henri Poincaré - Nancy I</orgName>
<orgName type="institution">Université Nancy II</orgName>
<orgName type="institution">Institut National Polytechnique de Lorraine (INPL)</orgName>
</affiliation>
</author>
<author><persName><forename>Jean-Michel</forename><surname>Dischler</surname></persName>
<affiliation>
<orgName type="laboratory">INRIA Nancy - Grand Est / IECN / LSIIT / IRMA</orgName>
<orgName type="team">CALVI</orgName>
<country>FR</country>
<orgName type="institution">CNRS : UMR7005</orgName>
<orgName type="institution">INRIA</orgName>
<orgName type="institution">Université de Strasbourg</orgName>
<orgName type="institution">Université de Lorraine</orgName>
</affiliation>
<affiliation>
<orgName type="laboratory">LSIIT</orgName>
<orgName type="team">Laboratoire des Sciences de l'Image, de l'Informatique et de la Télédétection</orgName>
<country>FR</country>
<orgName type="institution">CNRS : UMR7005</orgName>
<orgName type="institution">Université Louis Pasteur - Strasbourg I</orgName>
</affiliation>
</author>
<title type="main" level="m">Hypervolumetric Plasma-data Visualization</title><title type="main" level="m">Hypervolumetric Plasma-data Visualization</title><imprint><biblScope type="publicationDate">2006-00-00</biblScope><biblScope type="pp">16</biblScope></imprint></monogr><idno type="HALid">http://hal.inria.fr/inria-00090630</idno><idno type="HALFile">http://hal.inria.fr/inria-00090630/PDF/RR-5971.pdf</idno></biblStruct>
</listBibl>
</listBibl>