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Big telescope, big data: towards exascale with the Square Kilometre Array

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...

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Detalles Bibliográficos
Autor principal: Scaife, A. M. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society Publishing 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7015288/
https://www.ncbi.nlm.nih.gov/pubmed/31955682
http://dx.doi.org/10.1098/rsta.2019.0060
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author Scaife, A. M. M.
author_facet Scaife, A. M. M.
author_sort Scaife, A. M. M.
collection PubMed
description 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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spelling pubmed-70152882020-02-18 Big telescope, big data: towards exascale with the Square Kilometre Array Scaife, A. M. M. Philos Trans A Math Phys Eng Sci Articles 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’. The Royal Society Publishing 2020-03-06 2020-01-20 /pmc/articles/PMC7015288/ /pubmed/31955682 http://dx.doi.org/10.1098/rsta.2019.0060 Text en © 2020 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Articles
Scaife, A. M. M.
Big telescope, big data: towards exascale with the Square Kilometre Array
title Big telescope, big data: towards exascale with the Square Kilometre Array
title_full Big telescope, big data: towards exascale with the Square Kilometre Array
title_fullStr Big telescope, big data: towards exascale with the Square Kilometre Array
title_full_unstemmed Big telescope, big data: towards exascale with the Square Kilometre Array
title_short Big telescope, big data: towards exascale with the Square Kilometre Array
title_sort big telescope, big data: towards exascale with the square kilometre array
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7015288/
https://www.ncbi.nlm.nih.gov/pubmed/31955682
http://dx.doi.org/10.1098/rsta.2019.0060
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