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dc.date.accessioned 2015-12-14T17:53:14Z
dc.date.available 2015-12-14T17:53:14Z
dc.date.issued 2015-11
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/50200
dc.description.abstract This paper introduces the PN-PEM framework. It is based on the representation of an algorithm with Petri Nets. Frequently, a real algorithm needs a large Petri Net to be represented. We present a way to model an algorithm with Colored Petri Nets that simplify the model. After that, this high level model is transformed into a low level but executable model, preserving its semantics. The execution also needs other components of the framework, as the involved processors, data used and executable kernels. The combination of these elements is described in order to obtain a parallel execution. Some tests are also presented as a testbed of the framework in symmetric multiprocessors. Usability, as well as good performance, confirm the quality of the framework. es
dc.format.extent 129-136 es
dc.language en es
dc.subject Parallel programming es
dc.subject asynchronous parallel execution en
dc.subject Petri nets es
dc.subject Frameworks es
dc.title The PN-PEM framework: a Petri Net based parallel execution model en
dc.type Articulo es
sedici.identifier.uri http://journal.info.unlp.edu.ar/wp-content/uploads/JCST41-Paper-13.pdf es
sedici.identifier.issn 1666-6038 es
sedici.creator.person Wolfmann, Aaron Gustavo Horacio es
sedici.creator.person De Giusti, Armando Eduardo 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 3.0 Unported (CC BY 3.0)
sedici.rights.uri http://creativecommons.org/licenses/by/3.0/
sedici.description.peerReview peer-review es
sedici.relation.journalTitle Journal of Computer Science & Technology es
sedici.relation.journalVolumeAndIssue vol. 15, no. 2 es


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