DocumentCode :
2737536
Title :
Communication overhead for space science applications on the Beowulf parallel workstation
Author :
Sterling, Thomas ; Savarese, Daniel ; Becker, Donald J. ; Fryxell, Bruce ; Olson, Kevin
Author_Institution :
Center of Excellence in Space Data & Inf. Sci., NASA Goddard Space Flight Center, Greenbelt, MD, USA
fYear :
1995
fDate :
2-4 Aug 1995
Firstpage :
23
Lastpage :
30
Abstract :
The Beowulf parallel workstation combines 16 PC-compatible processing subsystems and disk drives using dual Ethernet networks to provide a single-user environment with 1 Gops peak performance, half a Gbyte of disk storage, and up to 8 times the disk I/O bandwidth of conventional workstations. The Beowulf architecture establishes a new operating point in price-performance for single-user environments requiring high disk capacity and bandwidth. The Beowulf research project is investigating the feasibility of exploiting mass market commodity computing elements in support of Earth and space science requirements for large data-set browsing and visualization, simulation of natural physical processes, and assimilation of remote sensing data. This paper reports the findings from a series of experiments for characterizing the Beowulf dual channel communication over-head. It is shown that dual networks can sustain 70% greater throughput than a single network alone but that bandwidth achieved is more highly sensitive to message size than to the number of messages at peak demand. While overhead is shown to be high for global synchronization, its overall impact on scalability of real world applications for computational fluid dynamics and N-body gravitational simulation is shown to be modest
Keywords :
parallel machines; workstations; Beowulf architecture; Beowulf parallel workstation; Earth science; N-body gravitational simulation; PC-compatible processing subsystems; browsing; communication overhead; computational fluid dynamics; disk drives; dual Ethernet networks; global synchronization; natural physical processes; remote sensing data; scalability; single-user environment; space science; space science applications; visualization; Bandwidth; Computational modeling; Computer architecture; Data visualization; Disk drives; Ethernet networks; Geoscience; Physics computing; Remote sensing; Workstations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
High Performance Distributed Computing, 1995., Proceedings of the Fourth IEEE International Symposium on
Conference_Location :
Washington, DC
ISSN :
1082-8907
Print_ISBN :
0-8186-7088-6
Type :
conf
DOI :
10.1109/HPDC.1995.518691
Filename :
518691
Link To Document :
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