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

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

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationProceedings of the 9th Joint Conference on Information Sciences, JCIS 2006
DOIs
Publication statusPublished - 2006 Dec 1
Event9th Joint Conference on Information Sciences, JCIS 2006 - Taiwan, ROC, Taiwan
Duration: 2006 Oct 82006 Oct 11

Publication series

NameProceedings of the 9th Joint Conference on Information Sciences, JCIS 2006
Volume2006

Other

Other9th Joint Conference on Information Sciences, JCIS 2006
CountryTaiwan
CityTaiwan, ROC
Period06-10-0806-10-11

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Fingerprint Dive into the research topics of 'A remote parallel computation system for biomedical data visualization on the grid'. Together they form a unique fingerprint.

  • Cite this

    Lin, C. H., Chu, L. Y., Wei, C. C., & Wang, M. S. (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). https://doi.org/10.2991/jcis.2006.24