A remote parallel computation system for biomedical data visualization on the grid

Chih Han Lin; Lai Yi Chu; Chun Cheng Wei; Ming Shi Wang

doi:10.2991/jcis.2006.24

A remote parallel computation system for biomedical data visualization on the grid

Chih Han Lin, Lai Yi Chu, Chun Cheng Wei, Ming Shi Wang

Department of Engineering Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

In this paper, a collaborative system for visualizing biomedical dataset on a Grid environment was proposed. Globus Toolkit was used for the integration of computational resources in the Grid environment, and the Visualization Toolkit (VTK) is used as the tool for processing the biomedical dataset. The results can be viewed by the users who are located at different places and connected together via internet. To allow the users to discuss the results cooperatively, Access Grid (AG) is used as the basic operation platform. Several shared applications were designed to allow users at remote sites to share user interface and visualizations. The system allows for the manipulating of the viewing objects by rotation, translation, and scaling.

Original language	English
Title of host publication	Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006
DOIs	https://doi.org/10.2991/jcis.2006.24
Publication status	Published - 2006
Event	9th Joint Conference on Information Sciences, JCIS 2006 - Taiwan, ROC, Taiwan Duration: 2006 Oct 8 → 2006 Oct 11

Publication series

Name	Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006
Volume	2006

Other

Other	9th Joint Conference on Information Sciences, JCIS 2006
Country/Territory	Taiwan
City	Taiwan, ROC
Period	06-10-08 → 06-10-11

All Science Journal Classification (ASJC) codes

Engineering(all)

Access to Document

10.2991/jcis.2006.24

Cite this

@inproceedings{02d9647a656e42a5bd4709da4c23d80b,

title = "A remote parallel computation system for biomedical data visualization on the grid",

abstract = "In this paper, a collaborative system for visualizing biomedical dataset on a Grid environment was proposed. Globus Toolkit was used for the integration of computational resources in the Grid environment, and the Visualization Toolkit (VTK) is used as the tool for processing the biomedical dataset. The results can be viewed by the users who are located at different places and connected together via internet. To allow the users to discuss the results cooperatively, Access Grid (AG) is used as the basic operation platform. Several shared applications were designed to allow users at remote sites to share user interface and visualizations. The system allows for the manipulating of the viewing objects by rotation, translation, and scaling.",

author = "Lin, {Chih Han} and Chu, {Lai Yi} and Wei, {Chun Cheng} and Wang, {Ming Shi}",

year = "2006",

doi = "10.2991/jcis.2006.24",

language = "English",

isbn = "9078677015",

series = "Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006",

booktitle = "Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006",

note = "9th Joint Conference on Information Sciences, JCIS 2006 ; Conference date: 08-10-2006 Through 11-10-2006",

}

Lin, CH, Chu, LY, Wei, CC & Wang, MS 2006, A remote parallel computation system for biomedical data visualization on the grid. in Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006., CSI-81, Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006, vol. 2006, 9th Joint Conference on Information Sciences, JCIS 2006, Taiwan, ROC, Taiwan, 06-10-08. https://doi.org/10.2991/jcis.2006.24

A remote parallel computation system for biomedical data visualization on the grid. / Lin, Chih Han; Chu, Lai Yi; Wei, Chun Cheng et al.

Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006. 2006. CSI-81 (Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006; Vol. 2006).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A remote parallel computation system for biomedical data visualization on the grid

AU - Lin, Chih Han

AU - Chu, Lai Yi

AU - Wei, Chun Cheng

AU - Wang, Ming Shi

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N2 - In this paper, a collaborative system for visualizing biomedical dataset on a Grid environment was proposed. Globus Toolkit was used for the integration of computational resources in the Grid environment, and the Visualization Toolkit (VTK) is used as the tool for processing the biomedical dataset. The results can be viewed by the users who are located at different places and connected together via internet. To allow the users to discuss the results cooperatively, Access Grid (AG) is used as the basic operation platform. Several shared applications were designed to allow users at remote sites to share user interface and visualizations. The system allows for the manipulating of the viewing objects by rotation, translation, and scaling.

AB - In this paper, a collaborative system for visualizing biomedical dataset on a Grid environment was proposed. Globus Toolkit was used for the integration of computational resources in the Grid environment, and the Visualization Toolkit (VTK) is used as the tool for processing the biomedical dataset. The results can be viewed by the users who are located at different places and connected together via internet. To allow the users to discuss the results cooperatively, Access Grid (AG) is used as the basic operation platform. Several shared applications were designed to allow users at remote sites to share user interface and visualizations. The system allows for the manipulating of the viewing objects by rotation, translation, and scaling.

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M3 - Conference contribution

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T3 - Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006

BT - Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006

T2 - 9th Joint Conference on Information Sciences, JCIS 2006

Y2 - 8 October 2006 through 11 October 2006

ER -

A remote parallel computation system for biomedical data visualization on the grid

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