DocumentCode :
1160108
Title :
Grid-distributed visualizations using connectionless protocols
Author :
Bethel, E. Wes ; Shalf, John
Author_Institution :
Lawrence Berkeley Nat. Lab., CA, USA
Volume :
23
Issue :
2
fYear :
2003
Firstpage :
51
Lastpage :
59
Abstract :
The NERSC and Lawrence Berkeley National Laboratory visualization group has developed the Visapult tool to attack grand challenge problems. Visapult is a distributed, parallel, volume rendering application that leverages parallel computation and high-performance networking resources that are on the same scale as the supercomputers generating the data. We´ve improved Visapult´s effectiveness using aggressive network tuning and network protocol modifications. In particular, we used a new connectionless user datagram protocol (UDP) to improve network efficiency from a 25 to 88 percent line rate increase for multigigabit networks. This connectionless protocol also dramatically reduces the latency of network event delivery, improving the responsiveness of wide area distributed interactive graphics applications as compared to transmission control protocol (TCP) streams. We believe that this UDP protocol, as well as transport encodings and algorithms that can tolerate loss gracefully, will become a fundamental component of future grid visualization architectures.
Keywords :
data visualisation; protocols; wide area networks; Visapult; aggressive network tuning; connectionless user datagram protocol; grid visualization architectures; latency network event delivery; line rate; multigigabit networks; network efficiency; network protocol modifications; responsiveness; wide area distributed interactive graphics applications; Computer networks; Concurrent computing; Data visualization; Delay; Distributed computing; Encoding; Graphics; Laboratories; Supercomputers; Transport protocols;
fLanguage :
English
Journal_Title :
Computer Graphics and Applications, IEEE
Publisher :
ieee
ISSN :
0272-1716
Type :
jour
DOI :
10.1109/MCG.2003.1185580
Filename :
1185580
Link To Document :
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