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Autor principal: Laura De Giusti
Formato: Artículo científico
Lenguaje:en
Publicado: Universidad Nacional de La Plata 2016
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Acceso en línea:https://www.redalyc.org/articulo.oa?id=638067262001
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author Laura De Giusti
author_facet Laura De Giusti
contents Teaching Concurrency and Parallelism Concepts with CMRE Laura De Giusti Fabiana Leibovich Franco Chichizola Marcelo Naiouf Computación Concurrency Parallelism Energy Consumption Parallel Algorithms Heterogeneous Processors 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. 2016 artículo científico 1666-6046 https://www.redalyc.org/articulo.oa?id=638067262001 en http://www.redalyc.org/revista.oa?id=6380 Journal of Computer Science and Technology application/pdf Universidad Nacional de La Plata Journal of Computer Science and Technology (Argentina) Num.02 Vol.16
format Artículo científico
id redalyc_638067262001
language en
publishDate 2016
publisher Universidad Nacional de La Plata
spellingShingle Teaching Concurrency and Parallelism Concepts with CMRE
Laura De Giusti
Computación
Concurrency
Parallelism
Energy Consumption
Parallel Algorithms
Heterogeneous Processors
Teaching Concurrency and Parallelism Concepts with CMRE Laura De Giusti Fabiana Leibovich Franco Chichizola Marcelo Naiouf Computación Concurrency Parallelism Energy Consumption Parallel Algorithms Heterogeneous Processors 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. 2016 artículo científico 1666-6046 https://www.redalyc.org/articulo.oa?id=638067262001 en http://www.redalyc.org/revista.oa?id=6380 Journal of Computer Science and Technology application/pdf Universidad Nacional de La Plata Journal of Computer Science and Technology (Argentina) Num.02 Vol.16
title Teaching Concurrency and Parallelism Concepts with CMRE
topic Computación
Concurrency
Parallelism
Energy Consumption
Parallel Algorithms
Heterogeneous Processors
url https://www.redalyc.org/articulo.oa?id=638067262001