IEICE TRANSACTIONS on Information
A Distributed 3D Rendering Application for Massive Data Sets
Summary :
This paper presents a prototype of a distributed 3D rendering system in a hierarchical Grid environment. 3D rendering with massive data sets is a computationally intensive task. In order to make full use of computational resources on Grids, a hierarchical system architecture is designed to run over multiple clusters. This architecture involves both sort-first and sort-last parallel rendering algorithms to achieve excellent scalability, rendering performance and load balance.
- Publication
- IEICE TRANSACTIONS on Information Vol.E87-D No.7 pp.1805-1812
- Publication Date
- 2004/07/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section PAPER (Special Section on Hardware/Software Support for High Performance Scientific and Engineering Computing)
- Category
- Distributed, Grid and P2P Computing
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Keyword
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Huabing ZHU, Tony K.Y. CHAN, Lizhe WANG, Reginald C. JEGATHESE, "A Distributed 3D Rendering Application for Massive Data Sets" in IEICE TRANSACTIONS on Information,
vol. E87-D, no. 7, pp. 1805-1812, July 2004, doi: .
Abstract: This paper presents a prototype of a distributed 3D rendering system in a hierarchical Grid environment. 3D rendering with massive data sets is a computationally intensive task. In order to make full use of computational resources on Grids, a hierarchical system architecture is designed to run over multiple clusters. This architecture involves both sort-first and sort-last parallel rendering algorithms to achieve excellent scalability, rendering performance and load balance.
URL: https://global.ieice.org/en_transactions/information/10.1587/e87-d_7_1805/_p
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@ARTICLE{e87-d_7_1805,
author={Huabing ZHU, Tony K.Y. CHAN, Lizhe WANG, Reginald C. JEGATHESE, },
journal={IEICE TRANSACTIONS on Information},
title={A Distributed 3D Rendering Application for Massive Data Sets},
year={2004},
volume={E87-D},
number={7},
pages={1805-1812},
abstract={This paper presents a prototype of a distributed 3D rendering system in a hierarchical Grid environment. 3D rendering with massive data sets is a computationally intensive task. In order to make full use of computational resources on Grids, a hierarchical system architecture is designed to run over multiple clusters. This architecture involves both sort-first and sort-last parallel rendering algorithms to achieve excellent scalability, rendering performance and load balance.},
keywords={},
doi={},
ISSN={},
month={July},}
Copy
TY - JOUR
TI - A Distributed 3D Rendering Application for Massive Data Sets
T2 - IEICE TRANSACTIONS on Information
SP - 1805
EP - 1812
AU - Huabing ZHU
AU - Tony K.Y. CHAN
AU - Lizhe WANG
AU - Reginald C. JEGATHESE
PY - 2004
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E87-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2004
AB - This paper presents a prototype of a distributed 3D rendering system in a hierarchical Grid environment. 3D rendering with massive data sets is a computationally intensive task. In order to make full use of computational resources on Grids, a hierarchical system architecture is designed to run over multiple clusters. This architecture involves both sort-first and sort-last parallel rendering algorithms to achieve excellent scalability, rendering performance and load balance.
ER -
English
