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大望远镜,大数据:迈向平方公里阵列的百亿亿次级计算。

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

机构信息

Jodrell Bank Centre for Astrophysics, Department of Physics and Astronomy, University of Manchester, Oxford Road, Manchester M13 9PL, UK.

出版信息

Philos Trans A Math Phys Eng Sci. 2020 Mar 6;378(2166):20190060. doi: 10.1098/rsta.2019.0060. Epub 2020 Jan 20.

Abstract

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'.

摘要

与光学望远镜不同,射电干涉仪不会直接对天空成像,而是需要专门的图像形成算法。对于平方公里阵列(SKA),由于望远镜产生的巨大数据速率,这种图像形成的计算要求极高。这项处理将由 SKA 科学数据处理设施和 SKA 区域中心网络执行,它们不仅必须处理 SKA 规模的数据量,还必须满足严格的科学驱动的图像保真度要求。本文是讨论会议议题“高性能计算科学的数值算法”的一部分。

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