Big telescope, big data: towards exascale with the Square Kilometre Array
Author(s) -
Anna M. M. Scaife
Publication year - 2020
Publication title -
philosophical transactions of the royal society a mathematical physical and engineering sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.074
H-Index - 169
eISSN - 1471-2962
pISSN - 1364-503X
DOI - 10.1098/rsta.2019.0060
Subject(s) - kilometer , square (algebra) , physics , telescope , big data , radio telescope , computer science , astronomy , astrobiology , mathematics , operating system , geometry
Unlike optical telescopes, radio interferometers do not image the sky directly but require specialized image formation algorithms. For the Square Kilometre Array (SKA), the computational requirements of this image formation are extremely demanding due to the huge data rates produced by the telescope. This processing will be performed by the SKA Science Data Processor facilities and a network of SKA Regional Centres, which must not only deal with SKA-scale data volumes but also with stringent science-driven image fidelity requirements. This article is part of a discussion meeting issue ‘Numerical algorithms for high-performance computational science’.
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