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dc.date.accessioned 2014-04-08T21:11:56Z
dc.date.available 2014-04-08T21:11:56Z
dc.date.issued 2013-12
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/34513
dc.description.abstract Given the availability of computer clusters based on multi-core processors, the hybrid programming model has become an important ally of high-performance computing users in improving the performance of their parallel applications. However, creating hybrid applications is a complex task because it requires developers to be familiar with two distinct parallel programming models. Against this background, this article introduces APCM, an auto-parallelism computational model. APCM’s goal is to create hybrid parallel applications, i.e., OpenMP (memory programming) and a message-passing interface (MPI), from MPI applications. This goal is achieved in a simple, automated manner that is transparent for the user while increasing application performance. In the article’s conclusion, we present consistent results that attest the efficacy of the proposed model. es
dc.format.extent 167-172 es
dc.language en es
dc.subject parallel programming en
dc.subject hybrid model en
dc.subject MPI en
dc.subject OpenMP en
dc.subject auto-parallelism en
dc.title APCM: An Auto-Parallelism Computational Model en
dc.type Articulo es
sedici.identifier.uri http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Dec13-10.pdf es
sedici.identifier.issn 1666-6038 es
sedici.title.subtitle Increasing the performance of MPI applications in multi-core environments en
sedici.creator.person Costa, André Luiz Lima da es
sedici.creator.person Souza, Josemar Rodrigues de es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Informática es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc/3.0/
sedici.description.peerReview peer-review es
sedici.relation.journalTitle Journal of Computer Science & Technology es
sedici.relation.journalVolumeAndIssue vol. 13, no. 3 es


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Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)