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dc.date.accessioned 2016-12-05T12:32:14Z
dc.date.available 2016-12-05T12:32:14Z
dc.date.issued 2016-11
dc.identifier.uri http://hdl.handle.net/10915/57270
dc.description.abstract Possible methodologies for teaching the concepts of processor heterogeneity and its impact on speedup and efficiency in a parallel system are discussed, as well as energy efficiency of parallel algorithms based on processor power. CMRE (Concurrent Multi Robot Environment) is expanded to be able to consider different virtual clocks in each robot (processor), as well as the cost – both in relation to time and energy consumption – of the operations carried out by the robots (Move, Put Down / Pick Up / Message / Inform). In this paper, we analyze some examples to show how concepts are introduced to students. en
dc.format.extent p. 95-100 es
dc.language en es
dc.title Teaching Concurrency and Parallelism Concepts with CMRE en
dc.type Articulo es
sedici.identifier.uri http://journal.info.unlp.edu.ar/wp-content/uploads/2016/12/JCST-43-Paper-5.pdf es
sedici.identifier.issn 1666-6038 es
sedici.creator.person De Giusti, Laura Cristina es
sedici.creator.person Leibovich, Fabiana Yael es
sedici.creator.person Chichizola, Franco es
sedici.creator.person Naiouf, Marcelo es
sedici.subject.materias Ciencias Informáticas es
sedici.subject.other Heterogeneous Processors en
sedici.subject.other Energy Consumption en
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. 16, no. 2 es
sedici.subject.acmcss98 Parallelism and concurrency es
sedici.subject.acmcss98 Parallel algorithms es


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Creative Commons Attribution 3.0 Unported (CC BY 3.0) Except where otherwise noted, this item's license is described as Creative Commons Attribution 3.0 Unported (CC BY 3.0)