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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

ISBN: 978-989-674-026-9

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 loca l 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)

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Paper citation in several formats:
Schwarz N.; Leigh J. and (2010). DISTRIBUTED VOLUME RENDERING FOR SCALABLE HIGH-RESOLUTION DISPLAY ARRAYS.In Proceedings of the International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2010) ISBN 978-989-674-026-9, 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 - Volume 1: GRAPP, (VISIGRAPP 2010)},
year={2010},
pages={211-218},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002812902110218},
isbn={978-989-674-026-9},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2010)
TI - DISTRIBUTED VOLUME RENDERING FOR SCALABLE HIGH-RESOLUTION DISPLAY ARRAYS
SN - 978-989-674-026-9
AU - Schwarz, N.
AU - Leigh, J.
PY - 2010
SP - 211
EP - 218
DO - 10.5220/0002812902110218

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