Data Management: NetCDF: an Interface for Scientific Data Access
IEEE Computer Graphics and Applications
The MyProxy online credential repository: Research Articles
Software—Practice & Experience - Grid Security
The Telescience Project: Application to Middleware Interaction Components
CBMS '05 Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems
Lightweight Desktop-Sharing System for Web Browsers
ICITA '05 Proceedings of the Third International Conference on Information Technology and Applications (ICITA'05) Volume 2 - Volume 02
The Globus Striped GridFTP Framework and Server
SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
On the performance of wide-area thin-client computing
ACM Transactions on Computer Systems (TOCS)
Globus toolkit version 4: software for service-oriented systems
NPC'05 Proceedings of the 2005 IFIP international conference on Network and Parallel Computing
3D visualization framework based on MVC for in-situ OLAP knowledge/information interpretation
VIS '10 Proceedings of the 3rd WSEAS international conference on Visualization, imaging and simulation
Interactive 3D rendering to assist the processing of distributed medical data
Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia
Collaborative visualization: current systems and future trends
Proceedings of the 16th International Conference on 3D Web Technology
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Scientific visualization is the process of transforming raw numeric data into a visual form, and is a key element of computational science. While many tools exist, they are unnecessarily difficult to use. This complexity increases time to insight and inhibits casual inquiry. The complexity derives from the need to support arbitrarily formatted data and many visualization algorithms. EnVision addresses both sources of complexity. Its design is predicated on two key insights. First, though the number of data file formats is unbounded, the structure of any one can be described using a small number of parameters. Second, the set of visualization algorithms applicable to a given type of data is small, and the subset used within a specific scientific discipline is smaller. EnVision utilizes domain-specific knowledge and user-directed semi-automation to dramatically simplify data importation and visualization algorithm selection. Its web-based interface facilitates access to remote hardware resources and provides a collaborative visualization environment.