pFoF: a highly scalable halo-finder for large cosmological data sets

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dc.contributor.authorRoy, Fabrice
dc.contributor.authorBouillot, Vincent R
dc.contributor.authorRasera, Yann
dc.date.accessioned2021-10-08T11:01:12Z
dc.date.available2021-10-08T11:01:12Z
dc.date.issued2014
dc.description.abstractWe present a parallel implementation of the friends-of-friends algorithm and an innovative technique for reducing complex-shaped data to a user-friendly format. This code, named pFoF, contains an optimized post-processing workflow that reduces the input data coming from gravitational codes, arranges them in a user-friendly format and detects groups of particles using percolation and merging methods. The pFoF code also allows for detecting structures in sub- or non-cubic volumes of the comoving box. In addition, the code offers the possibility of performing new halo-findings with a lower percolation factor, useful for more complex analysis. In this paper, we give standard test results and show performance diagnostics to stress the robustness of pFoF. This code has been extensively tested up to 32768 MPI processes and has proved to be highly scalable with an efficiency of more than 75%. It has been used for analysing the Dark Energy Universe Simulation: Full Universe Runs (DEUS-FUR) project, the first cosmological simulations of the entire observable Universe, modelled with more than half a trillion dark matter particles.
dc.identifier.apacitationRoy, F., Bouillot, V. R., & Rasera, Y. (2014). pFoF: a highly scalable halo-finder for large cosmological data sets. <i>Astronomy and Astrophysics</i>, 564(4), A13 - 177. http://hdl.handle.net/11427/35107en_ZA
dc.identifier.chicagocitationRoy, Fabrice, Vincent R Bouillot, and Yann Rasera "pFoF: a highly scalable halo-finder for large cosmological data sets." <i>Astronomy and Astrophysics</i> 564, 4. (2014): A13 - 177. http://hdl.handle.net/11427/35107en_ZA
dc.identifier.citationRoy, F., Bouillot, V.R. & Rasera, Y. 2014. pFoF: a highly scalable halo-finder for large cosmological data sets. <i>Astronomy and Astrophysics.</i> 564(4):A13 - 177. http://hdl.handle.net/11427/35107en_ZA
dc.identifier.issn0004-6361
dc.identifier.issn1432-0746
dc.identifier.ris TY - Journal Article AU - Roy, Fabrice AU - Bouillot, Vincent R AU - Rasera, Yann AB - We present a parallel implementation of the friends-of-friends algorithm and an innovative technique for reducing complex-shaped data to a user-friendly format. This code, named pFoF, contains an optimized post-processing workflow that reduces the input data coming from gravitational codes, arranges them in a user-friendly format and detects groups of particles using percolation and merging methods. The pFoF code also allows for detecting structures in sub- or non-cubic volumes of the comoving box. In addition, the code offers the possibility of performing new halo-findings with a lower percolation factor, useful for more complex analysis. In this paper, we give standard test results and show performance diagnostics to stress the robustness of pFoF. This code has been extensively tested up to 32768 MPI processes and has proved to be highly scalable with an efficiency of more than 75%. It has been used for analysing the Dark Energy Universe Simulation: Full Universe Runs (DEUS-FUR) project, the first cosmological simulations of the entire observable Universe, modelled with more than half a trillion dark matter particles. DA - 2014 DB - OpenUCT DP - University of Cape Town IS - 4 J1 - Astronomy and Astrophysics LK - https://open.uct.ac.za PY - 2014 SM - 0004-6361 SM - 1432-0746 T1 - pFoF: a highly scalable halo-finder for large cosmological data sets TI - pFoF: a highly scalable halo-finder for large cosmological data sets UR - http://hdl.handle.net/11427/35107 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/35107
dc.identifier.vancouvercitationRoy F, Bouillot VR, Rasera Y. pFoF: a highly scalable halo-finder for large cosmological data sets. Astronomy and Astrophysics. 2014;564(4):A13 - 177. http://hdl.handle.net/11427/35107.en_ZA
dc.language.isoeng
dc.publisher.departmentDepartment of Mathematics and Applied Mathematics
dc.publisher.facultyFaculty of Science
dc.sourceAstronomy and Astrophysics
dc.source.journalissue4
dc.source.journalvolume564
dc.source.paginationA13 - 177
dc.source.urihttps://dx.doi.org/10.1051/0004-6361/201322555
dc.subject.otherdark matter
dc.subject.otherlarge-scale structure of Universe
dc.subject.othermethods: numerical
dc.titlepFoF: a highly scalable halo-finder for large cosmological data sets
dc.typeJournal Article
uct.type.publicationResearch
uct.type.resourceJournal Article
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