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dc.contributor.authorAkhlaghi, Mohammad
dc.date.accessioned2020-10-29T11:41:55Z
dc.date.available2020-10-29T11:41:55Z
dc.date.issued2020
dc.identifier.citationAkhlaghi, M. Template for reproducible scientific datasets/papers. A: . Barcelona Supercomputing Center, 2020, p. 53-54.
dc.identifier.urihttp://hdl.handle.net/2117/330963
dc.description.abstractThe increasing volume, diversity, and role of data in modern research has been very fruitful. However, these same factors, have also made it harder to describe (in sufficient detail) the processing behind a scientific result within the confines of a traditional paper. It is thus becoming harder and harder to reproduce (i.e., critically review by coauthors, referees or larger community) results that define scientific progress. In this talk, a working solution to this problem is proposed.
dc.format.extent2 p.
dc.languageen
dc.language.isoeng
dc.publisherBarcelona Supercomputing Center
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.subjectÀrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
dc.subject.lcshHigh performance computing
dc.titleTemplate for reproducible scientific datasets/papers
dc.typeConference report
dc.subject.lemacCàlcul intensiu (Informàtica)
dc.rights.accessOpen Access
local.citation.startingPage53
local.citation.endingPage54


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