Statistics – Computation
Scientific paper
Jul 2004
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004aspc..314..682s&link_type=abstract
Astronomical Data Analysis Software and Systems (ADASS) XIII, Proceedings of the conference held 12-15 October, 2003 in Strasbou
Statistics
Computation
Scientific paper
The operation of novel phased array based radio telescopes requires vast amount of computational power for the processing of observed data. In the LOFAR telescope, the central on-line and off-line systems will use HPC resources provided by a 1000+ nodes cluster computer. In order to profit from the enormous computational power of this machine an application development framework is built. This framework support the transformation of the current single-node data reduction applications to parallel equivalents that can execute on large clusters. In the online systems, real-time signal processing pipelines can be executed. Furthermore, the complexity of controlling many concurrently running observations and analyses on an inhomogeneous hardware set is tackled.
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