Statistics – Computation
Scientific paper
Dec 2002
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002spie.4848..328c&link_type=abstract
Advanced Telescope and Instrumentation Control Software II. Edited by Lewis, Hilton. Proceedings of the SPIE, Volume 4848, pp.
Statistics
Computation
6
Scientific paper
Nowadays, computer clusters offer the best price/performance ratio for a huge range of scientific and industrial applications. Among the various cluster architectures so far proposed, the most promising surely is the Beowulf: a distributed computational system formed by a server plus one or more client nodes connected to the server through a fast communication network. A Beowulf computer class looks like the most promising solution to cope with the processing of the enormous amount of data produced by the present and, even more, planned Wide Field Telescopes. Indeed Wide Field cameras are built as CCD mosaic and the nature embarrassingly parallel of such data make a parallel machine particularly suitable to process them as most of the data process can be execute independently on each CCD of the mosaic. A Beowulf cluster of one master plus eight nodes has been installed at the Astronomical Observatory of Naples. We will present results on tests performed on various hardware configurations in order to find the cluster configuration optimized, in terms of performance, for the specific application of reducing Wide Field images. A comparison with other hardware platform will also be presented.
Capasso Giulio
Cascone Enrico
Grado Aniello
Pavlov Mike
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