Using High-Speed WANs and Network Data Caches to Enable Remote and Distributed Visualization
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Visapult is a prototype application and framework for remote visualization of large scientific datasets. We approach the technical challenges of tera-scale visualization with a unique architecture that employs high speed WANs and network data caches for data staging and transmission. This architecture allows for the use of available cache and compute resources at arbitrary locations on the network. High data throughput rates and network utilization are achieved by parallelizing I/O at each stage in the application, and by pipelining the visualization process. On the desktop, the graphics interactivity is effectively decoupled from the latency inherent in network applications. We present a detailed performance analysis of the application, and improvements resulting from field-test analysis conducted as part of the DOE Combustion Corridor project.
- Research Organization:
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21), Scientific Discovery through Advanced Computing (SciDAC)
- Grant/Contract Number:
- AC02-05CH11231
- OSTI ID:
- 1526524
- Journal Information:
- ACM/IEEE Conference on Supercomputing Proceedings, Vol. 2000; Conference: Proceedings of the 2000 ACM/IEEE Conference on Supercomputing, Dallas, TX (United States), 4-10 Nov 2000; ISSN 1063-9535
- Publisher:
- ACM/IEEECopyright Statement
- Country of Publication:
- United States
- Language:
- English
Similar Records
Constructing Collaborative Desktop Storage Caches for Large Scientific Datasets
Interactive, Internet Delivery of Scientific Visualization viaStructured, Prerendered Multiresolution Imagery