DISTRIBUTED VOLUME RENDERING FOR SCALABLE HIGH-RESOLUTION DISPLAY ARRAYS

Nicholas Schwarz; Jason Leigh

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Paper

DISTRIBUTED VOLUME RENDERING FOR SCALABLE HIGH-RESOLUTION DISPLAY ARRAYS

Topics: Parallel Rendering; Systems and Software Architectures for Rendering; Volume Rendering

In Proceedings of the International Conference on Computer Graphics Theory and Applications - Volume 0VISIGRAPP, 211-218, 2010 , Angers, France

Authors: Nicholas Schwarz ¹ and Jason Leigh ²

Affiliations: ¹ Northwestern University, United States ; ² Electronic Visualization Laboratory (EVL), University of Illinois at Chicago (UIC), United States

Keyword(s): High-resolution display arrays, Direct volume rendering, Parallel rendering, Graphics systems and distributed shared-memory.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Parallel Rendering ; Rendering ; Systems and Software Architectures for Rendering ; Volume Rendering

Abstract: This work presents a distributed image-order volume rendering approach for scalable high-resolution displays. This approach preprocesses data into a conventional hierarchical structure which is distributed across the local storage of a distributed-memory cluster. The cluster is equipped with graphics cards capable of hardware accelerated texture rendering. The novel contribution of this work is its unique data management scheme that spans both GPU and CPU memory using a multi-level cache and distributed shared-memory system. Performance results show that the system scales as output resolution and cluster size increase. An implementation of this approach allows scientists to quasi-interactively visualize large volume datasets on scalable high-resolution display arrays.This work presents a distributed image-order volume rendering approach for scalable high-resolution displays. This approach preprocesses data into a conventional hierarchical structure which is distributed across the loc al storage of a distributed-memory cluster. The cluster is equipped with graphics cards capable of hardware accelerated texture rendering. The novel contribution of this work is its unique data management scheme that spans both GPU and CPU memory using a multi-level cache and distributed shared-memory system. Performance results show that the system scales as output resolution and cluster size increase. An implementation of this approach allows scientists to quasi-interactively visualize large volume datasets on scalable high-resolution display arrays.This work presents a distributed image-order volume rendering approach for scalable high-resolution displays. This approach preprocesses data into a conventional hierarchical structure which is distributed across the local storage of a distributed-memory cluster. The cluster is equipped with graphics cards capable of hardware accelerated texture rendering. The novel contribution of this work is its unique data management scheme that spans both GPU and CPU memory using a multi-level cache and distributed shared-memory system. Performance results show that the system scales as output resolution and cluster size increase. An implementation of this approach allows scientists to quasi-interactively visualize large volume datasets on scalable high-resolution display arrays. (More)

This work presents a distributed image-order volume rendering approach for scalable high-resolution displays. This approach preprocesses data into a conventional hierarchical structure which is distributed across the local storage of a distributed-memory cluster. The cluster is equipped with graphics cards capable of hardware accelerated texture rendering. The novel contribution of this work is its unique data management scheme that spans both GPU and CPU memory using a multi-level cache and distributed shared-memory system. Performance results show that the system scales as output resolution and cluster size increase. An implementation of this approach allows scientists to quasi-interactively visualize large volume datasets on scalable high-resolution display arrays.This work presents a distributed image-order volume rendering approach for scalable high-resolution displays. This approach preprocesses data into a conventional hierarchical structure which is distributed across the local storage of a distributed-memory cluster. The cluster is equipped with graphics cards capable of hardware accelerated texture rendering. The novel contribution of this work is its unique data management scheme that spans both GPU and CPU memory using a multi-level cache and distributed shared-memory system. Performance results show that the system scales as output resolution and cluster size increase. An implementation of this approach allows scientists to quasi-interactively visualize large volume datasets on scalable high-resolution display arrays.This work presents a distributed image-order volume rendering approach for scalable high-resolution displays. This approach preprocesses data into a conventional hierarchical structure which is distributed across the local storage of a distributed-memory cluster. The cluster is equipped with graphics cards capable of hardware accelerated texture rendering. The novel contribution of this work is its unique data management scheme that spans both GPU and CPU memory using a multi-level cache and distributed shared-memory system. Performance results show that the system scales as output resolution and cluster size increase. An implementation of this approach allows scientists to quasi-interactively visualize large volume datasets on scalable high-resolution display arrays.

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Paper citation in several formats:

Schwarz, N. and Leigh, J. (2010). DISTRIBUTED VOLUME RENDERING FOR SCALABLE HIGH-RESOLUTION DISPLAY ARRAYS. In Proceedings of the International Conference on Computer Graphics Theory and Applications (VISIGRAPP 2010) - GRAPP; ISBN 978-989-674-026-9; ISSN 2184-4321, SciTePress, pages 211-218. DOI: 10.5220/0002812902110218

@conference{grapp10,
author={Nicholas Schwarz. and Jason Leigh.},
title={DISTRIBUTED VOLUME RENDERING FOR SCALABLE HIGH-RESOLUTION DISPLAY ARRAYS},
booktitle={Proceedings of the International Conference on Computer Graphics Theory and Applications (VISIGRAPP 2010) - GRAPP},
year={2010},
pages={211-218},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002812902110218},
isbn={978-989-674-026-9},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Graphics Theory and Applications (VISIGRAPP 2010) - GRAPP
TI - DISTRIBUTED VOLUME RENDERING FOR SCALABLE HIGH-RESOLUTION DISPLAY ARRAYS
SN - 978-989-674-026-9
IS - 2184-4321
AU - Schwarz, N.
AU - Leigh, J.
PY - 2010
SP - 211
EP - 218
DO - 10.5220/0002812902110218
PB - SciTePress