The importance of locality in the visualization of large datasets

被引:2
作者
Brooke, J. M.
Marsh, J. [1 ]
Pettifer, S.
Sastry, L. S.
机构
[1] Univ Manchester, Manchester M13 9PL, Lancs, England
[2] Rutherford Appleton Lab, CCLRC, Didcot, Oxon, England
关键词
grid computing; visualization; Web services; oceanography;
D O I
10.1002/cpe.1042
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Many scientific phenomena in large high-resolution datasets such as the U.K. Ocean Circulation and Advanced Modelling (OCCAM) ocean model are better discovered through visualization than by algorithmic analysis: it is often more straightforward to see a feature than it is to characterize it numerically. Using traditional rendering techniques, the size of modern datasets presents a challenge for even high-end graphical supercomputers, and the cost of such hardware limits its availability for day-to-day analysis. We present an architecture that brings visual analysis to the desktop by exploiting consumer-grade graphics hardware in order to provide initial interactive exploration and Web services to enable finer-grained analysis and interoperability with traditional visualization tools. Copyright (c) 2006 John Wiley & Sons, Ltd.
引用
收藏
页码:195 / 205
页数:11
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