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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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The Royal Society Publishing
2020
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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’. |
format | Online Article Text |
id | pubmed-7015288 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Royal Society Publishing |
record_format | MEDLINE/PubMed |
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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