Data for: Scalability Model for the LOFAR Direction Independent Pipeline

Published: 27 Jun 2019 | Version 1 | DOI: 10.17632/c8v5hv9byp.1
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Description of this data

Run times of the LOFAR prefactor pipeline obtained by scaling the Number of CPUs, Data size and skymodel size. The prefactor version used for this data was https://github.com/apmechev/prefactor/commit/da4ac885bce9b24e604c9aac6bf649992065326f

Experiment data files

This data is associated with the following publication:

Scalability model for the LOFAR direction independent pipeline

Published in: Astronomy and Computing

Latest version

  • Version 1

    2019-06-27

    Published: 2019-06-27

    DOI: 10.17632/c8v5hv9byp.1

    Cite this dataset

    Mechev, Alexandar (2019), “Data for: Scalability Model for the LOFAR Direction Independent Pipeline”, Mendeley Data, v1 http://dx.doi.org/10.17632/c8v5hv9byp.1

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Categories

Software Performance, Scalability, Radio Astronomy

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The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

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This dataset is licensed under a Creative Commons Attribution 4.0 International licence. What does this mean? You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

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