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dc.contributor.authorSingh, Navtej
dc.contributor.authorBrowne, Lisa-Marie
dc.contributor.authorButler, Ray
dc.date.accessioned2018-09-20T16:24:52Z
dc.date.available2018-09-20T16:24:52Z
dc.date.issued2013-08-01
dc.identifier.citationSingh, Navtej; Browne, Lisa-Marie; Butler, Ray (2013). Parallel astronomical data processing with python: recipes for multicore machines. Astronomy and Computing 2 , 1-10
dc.identifier.issn2213-1337
dc.identifier.urihttp://hdl.handle.net/10379/13931
dc.publisherElsevier BV
dc.relation.ispartofAstronomy and Computing
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/ie/
dc.subjectastronomical data processing
dc.subjectparallel computing
dc.subjectmulticore programming
dc.subjectpython multiprocessing
dc.subjectparallel python
dc.subjectdeconvolution
dc.titleParallel astronomical data processing with python: recipes for multicore machines
dc.typeArticle
dc.identifier.doi10.1016/j.ascom.2013.04.002
dc.local.publishedsourcehttp://arxiv.org/pdf/1306.0573
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Attribution-NonCommercial-NoDerivs 3.0 Ireland
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Ireland