Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1002/cpe.1042 | CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE |
Keywords | DocType | Volume |
grid computing, visualization, Web services, oceanography | Journal | 19 |
Issue | ISSN | Citations |
2 | 1532-0626 | 3 |
PageRank | References | Authors |
0.40 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| J. M. Brooke | 1 | 53 | 9.77 |
| James Marsh | 2 | 79 | 5.21 |
| Steve Pettifer | 3 | 561 | 40.02 |
| L. S. Sastry | 4 | 3 | 0.40 |