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Paper ID: 1439

The importance of locality in the visualization of large datasets
J M,Brooke J,Marsh S,Pettifer L,Sastry

Appeared in: Proceedings of the UK e-Science All Hands Conference 2004 website: http://www.allhands.org.uk/2004/
Page Numbers:840 - 847
Publisher: Engineering and Physical Sciences Research Council
Year: 2004
ISBN/ISSN: 1-904425-21-6
Contributing Organisation(s):
Field of Science: e-Science

URL: http://www.allhands.org.uk/2004/proceedings/papers/270.pdf

Abstract: The GODIVA (Grid for Ocean Diagnostics, Interactive Visualization and Analysis) is one of the NERC e-Science projects focusing particularly on data analysis via visualization. The data analyzed in GODIVA comes from high-resolution global models of the ocean and atmosphere, thus datasets are large and there are many datasets in a time sequence. We describe the GODIVA architecture, which provides for visualization capabilities in a Web Services context where the visualization can be performed either by a Web Service or by an intelligent client which exploits the power of the new generation of programmable PC graphics cards. We utilise the concept of locality in a networking sense (bandwidth and latency) in the data and visualization flows. This architecture is directly related to the needs of the end-user scientists in the project who have to analyse complex physics in oceanography involving at least four dimensions in the data space. We also consider issues of locality and re-use in the computation and caching of derived data fields such as gradients and flow vectors, obtained from the original model fields via subsidiary calculations

Keywords: e-Science, AHM 2004



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