Titlebook: Data-Intensive Radio Astronomy; Bringing Astrophysic Eleni Vardoulaki,Marta Dembska,Matthias Hoeft Book 2024 The Editor(s) (if applicable)

类型

Co-design and Software Architectureon of concerns, and with reproducibility and performance portability as primary design goals, for systems built on top of heterogeneous hardware platforms. Finally, motivated by the particular case of the LOFAR radio interferometer, we present a study on how to exploit large-scale parallel architect

变化

Book 2024demands of radio telescope projects such as LOFAR, MeerKat, ASKAP; concepts for reliable and fast storage for archiving; and more. ..Written by experts across astrophysics, high-energy particle physics, data science, and computer science, this volume will help researchers and advanced students bette

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on of concerns, and with reproducibility and performance portability as primary design goals, for systems built on top of heterogeneous hardware platforms. Finally, motivated by the particular case of the LOFAR radio interferometer, we present a study on how to exploit large-scale parallel architect

出没

0067-0057 nd fast storage for archiving; and more. ..Written by experts across astrophysics, high-energy particle physics, data science, and computer science, this volume will help researchers and advanced students bette978-3-031-58470-1978-3-031-58468-8Series ISSN 0067-0057 Series E-ISSN 2214-7985

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Introduction,nd give a short introduction to radio astronomy. Additionally, we present current and upcoming radio observatories around the world and their specifications. Finally, we introduce the concept of data-intensive radio astronomy and of the data lifecycle.

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Storage and Long Term Archivessystem and explain what caching is and why it is used. Secondly, we describe in detail current solutions for data from the LOFAR, ASKAP, Apertif and ALMA radio telescopes. We then explain which data transfer protocols are commonly used and describe them. Thirdly, we present federated storage infrast

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Computing Infrastructurele, in particular with respect to High Performance Computing (HPC) systems. This chapter discusses the most recent advances in this area. Firstly, we address a new type of computing facilities, based on combining both CPUs and accelerators as GPUs and FPGAs into heterogeneous HPC systems. Secondly,

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Challenges of Big Radio Data Processing those data products. In this chapter, we briefly describe the origins and behaviour of several different computational challenges in radio astronomy. We start with the causes of the scaling towards ever larger data volumes, discuss the software landscape in radio astronomy, and give an overview of