Abstract
AbstractMany 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 © 2006 John Wiley & Sons, Ltd.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
