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Title: Using High-Speed WANs and Network Data Caches to Enable Remote and Distributed Visualization

Abstract

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.

Authors:
 [1];  [1];  [1];  [1];  [1]
  1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21), Scientific Discovery through Advanced Computing (SciDAC)
OSTI Identifier:
1526524
Grant/Contract Number:  
AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
ACM/IEEE Conference on Supercomputing Proceedings
Additional Journal Information:
Journal Volume: 2000; Conference: Proceedings of the 2000 ACM/IEEE Conference on Supercomputing, Dallas, TX (United States), 4-10 Nov 2000; Journal ID: ISSN 1063-9535
Publisher:
ACM/IEEE
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING

Citation Formats

Bethel, Wes, Tierney, Brian, Lee, Jason, Gunter, Dan, and Lau, Stephen. Using High-Speed WANs and Network Data Caches to Enable Remote and Distributed Visualization. United States: N. p., 2000. Web. doi:10.1109/SC.2000.10002.
Bethel, Wes, Tierney, Brian, Lee, Jason, Gunter, Dan, & Lau, Stephen. Using High-Speed WANs and Network Data Caches to Enable Remote and Distributed Visualization. United States. doi:10.1109/SC.2000.10002.
Bethel, Wes, Tierney, Brian, Lee, Jason, Gunter, Dan, and Lau, Stephen. Sat . "Using High-Speed WANs and Network Data Caches to Enable Remote and Distributed Visualization". United States. doi:10.1109/SC.2000.10002. https://www.osti.gov/servlets/purl/1526524.
@article{osti_1526524,
title = {Using High-Speed WANs and Network Data Caches to Enable Remote and Distributed Visualization},
author = {Bethel, Wes and Tierney, Brian and Lee, Jason and Gunter, Dan and Lau, Stephen},
abstractNote = {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.},
doi = {10.1109/SC.2000.10002},
journal = {ACM/IEEE Conference on Supercomputing Proceedings},
number = ,
volume = 2000,
place = {United States},
year = {2000},
month = {1}
}

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