Installation and testing the LOFAR software on ACC Cyfronet cluster Prometheus

Elzbieta Marzena Kuligowska, Maciej Czuchry, Krzysztof Chyzy, Tomasz Norbert Kundera, Carole Roskowinski, Marta Dzielak

Abstract


We present the actual status and the most important issues related to the installation of the data reduction LOFAR software on high power computer Prometheus located in ACC Cyfronet. We refer to the software itself as well its practical use cases in the context of the scientific tool and the detailed installation/testing methodology. We address most typical challenges and problems that occured during our attempts to set up the complete and ready-to-use LOFAR environment (including not only programs, but also libraries, scripts and other additional tools) on non-standard (cluster-type) computing system. The result of these works is then briefly summarized. We also discuss the issues related to LOFAR documentation, maintenance,
distribution and further development. Finally, we propose some future improvements.


Keywords


high-power computers, LOFAR

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References


Rottgering, H. et al.: Lofar: a New Radio Telescope for Low Frequency Radio Observations:. Science and Project Status. World Scientific Publishing Co. Pte. Ltd., 2003. ISBN: 9789812704009, pp. 69-76

Cordes, J. M.: The Square Kilometer Array: Key Science and Technology Development. From Clark Lake to the Long Wavelength Array: Bill Erickson's Radio Science ASP Conference Series, vol. 345, 461, Santa Fe, New Mexico, 2004

Bubak, M, Kitowski, J., Wiatr, K. et al.: eScience on Distributed Computing Infrastructure. Springer Publisher, in the series: Lecture Notes in Computer Science, Cracow, Poland, 2014, vol. 8500, ISBN: 978-3-319-10893-3

Van Weeren, R. J. et al.: LOFAR Facet Calibration. The Astrophysical

Journal Supplement Series, vol. 223, 2016, Issue 1, 16

Van Haarlem, M. P. et al.: LOFAR: The LOw-Frequency Array. Astronomy & Astrophysics, vol. 556, 2013, 53

Shimwell, T. W. et al.: The LOFAR Two-metre Sky Survey. I. Survey description and preliminary data release. Astronomy & Astrophysics, vol. 598, 2017, 22

Mechev, A. P. et al.: An Automated Scalable Framework for Distributing

Radio Astronomy Processing Across Clusters and Clouds. International Symposiumon Grids & Clouds (ISGC 2017), Taipei, Taiwan, 2017




DOI: https://doi.org/10.7494/csci.%25Y.%25v.%25i.2627

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