Remote Scientific Visualization for Large Datasets
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Date
2010
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Remote scientific visualization, where rendering services are provided by larger scale systems than are available on the desktop, are becoming increasingly important as dataset sizes increase beyond the capabilities of desktop workstations. Uptake of such services relies on access to suitable visualization applications and the ability to view the resulting visualization in a convenient form. We apply five rules from the e-Science community to meet these goals with the porting of a commercial visualization package to a large scale system and the integration of this code with the Access Grid. Example use cases from Materials Science are considered.
Description
@inproceedings{10.2312:LocalChapterEvents/TPCG/TPCG10/159-166,
booktitle = {Theory and Practice of Computer Graphics},
editor = {John Collomosse and Ian Grimstead},
title = {{Remote Scientific Visualization for Large Datasets}},
author = {Turner, Martin and Leaver, George and Perrin, James},
year = {2010},
publisher = {The Eurographics Association},
ISBN = {978-3-905673-75-3},
DOI = {10.2312/LocalChapterEvents/TPCG/TPCG10/159-166}
}