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Amsterdam, Netherlands
Dec. 4, 2006 to Dec. 6, 2006
ISBN: 0-7695-2734-5
pp: 156
Phil Andrews , University of California, San Diego, USA
Martin Margo , University of California, San Diego, USA
Amit Chourasia , University of California, San Diego, USA
John Towns , University of Illinois, USA
High Performance Computing E-Science has numerous requirements well in excess of the normal environment sufficient for routine computations. The data requirements in particular may be in the multiterabyte regime, with transfer rates in the several Gb/s or more range. Such data capabilities may only be available at a single location. On the other hand, understanding the data, via data-mining and visualization may require completely different facilities, while the actual data production may be only possible at yet a third location. The use of Global File System with multi-Gb/s speeds and hundreds of TeraBytes capacity can help the scientific researchers, but the simultaneous utilization of several systems also requires a reasonably sophisticated co-scheduling capability. In this paper, we show how the TeraGrid is combining massive computational clusters, a Global File System, very powerful visualization systems, and a co-scheduler to enable massive E-Science in a very coordinated and usable manner.
Phil Andrews, Martin Margo, Amit Chourasia, John Towns, "Enabling HPC E-Science via Integrated Grid Infrastructure", ESCIENCE, 2006, 2012 IEEE 8th International Conference on E-Science, 2012 IEEE 8th International Conference on E-Science 2006, pp. 156, doi:10.1109/E-SCIENCE.2006.59
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