ExaScale high performance computing in the square kilometer array

Authors:
P. Chris Broekema;Rob V. van Nieuwpoort;Henri E. Bal
Affiliations:
Netherlands Institute for Radio Astronomy (ASTRON) & VU University Amsterdam, Dwingeloo, Netherlands;VU University Amsterdam & Netherlands Institute for Radio Astronomy (ASTRON), Amsterdam, Netherlands;VU University Amsterdam, Amsterdam, Netherlands
Venue:
Proceedings of the 2012 workshop on High-Performance Computing for Astronomy Date
Year:
2012

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Abstract

Next generation radio telescopes will require tremendous amounts of compute power. With the current state of the art, the Square Kilometer Array (SKA), currently entering its pre-construction phase, will require in excess of one ExaFlop/s in order to process and reduce the massive amount of data generated by the sensors. The nature of the processing involved means that conventional high performance computing (HPC) platforms are not ideally suited. Consequently, the SKA project requires active and intensive involvement from both the high performance computing research community, as well as industry, in order to make sure a suitable system is available when the telescope is built. In this paper we present a first analysis of the processing required, and a tool that will facilitate future analysis and external involvement.