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dc.date.accessioned 2012-10-29T12:57:12Z
dc.date.available 2012-10-29T12:57:12Z
dc.date.issued 2012-10
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/23114
dc.description.abstract A large number of Fortran legacy programs are still running in production environments, and most of these applications are running sequentially. Multi- and Many- core architectures are established as (almost) the only processing hardware available, and new programming techniques that take advantage of these architectures are necessary. In this report, we will explore the impact of applying some of these techniques into legacy Fortran source code. Furthermore, we have measured the impact in the program performance introduced by each technique. The OpenACC standard has resulted in one of the most interesting techniques to be used on Fortran Legacy source code that brings speed up while requiring minimum source code changes. en
dc.language en es
dc.subject CUDA en
dc.subject legacy systems en
dc.subject GPU en
dc.subject openACC en
dc.title A GPU approach to fortran legacy systems en
dc.type Articulo es
sedici.creator.person Méndez, Mariano es
sedici.creator.person Tinetti, Fernando Gustavo es
sedici.description.note Technical Report PLA-001-2012 es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Informática es
sedici.subtype Reporte es
sedici.rights.license Creative Commons Attribution 2.5 Argentina (CC BY 2.5)
sedici.rights.uri http://creativecommons.org/licenses/by/2.5/ar/
sedici.description.peerReview peer-review es


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Creative Commons Attribution 2.5 Argentina (CC BY 2.5) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution 2.5 Argentina (CC BY 2.5)