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Master's Dissertation
DOI
10.11606/D.45.2010.tde-19032012-094158
Document
Author
Full name
Filipe Ferraz Salgado
E-mail
Institute/School/College
Knowledge Area
Date of Defense
Published
São Paulo, 2012
Supervisor
Committee
Reverbel, Francisco Carlos da Rocha (President)
Bressan, Graca
Lago, Alair Pereira do
Title in Portuguese
Uma implementação paralela do AIRS em Scala
Keywords in Portuguese
AIRS
ator
concorrente
imunológico
Java
paralelo
programação funcional
programação orientada a objetos
Scala
WEKA.
Abstract in Portuguese
Com o avanço tecnológico dos últimos anos passou a ser normal vermos microprocessadores com múltiplos núcleos (cores). A expectativa é de que o crescimento da quantidade de núcleos passe a ser maior do que o crescimento da velocidade desses núcleos. Assim, além de se preocuparem em otimizar algoritmos sequenciais, os programadores começaram a dar mais atenção às possibilidades de aproveitamento de toda a capacidade oferecida pelos diversos cores. Existem alguns modelos de programação que permitem uma abordagem concorrente. O modelo de programação concorrente mais adotado atualmente é o baseado em threads, que utiliza memória compartilhada e é adotado em Java. Um outro modelo é o baseado em troca de mensagens, no qual as entidades computacionais ativas são denominadas atores. Nesse trabalho, estudamos a linguagem Scala e seu modelo de atores. Além disso, implementamos em Scala uma versão paralela de um algoritmo de classicação que simula o sistema imunológico dos animais, o AIRS paralelo, e comparamos seu desempenho com a versão em Java.
Title in English
A parallel implementation of AIRS in Scala
Keywords in English
actor
AIRS
concurrent
functional programming
immune
Java
object oriented programming
parallel
Scala
WEKA.
Abstract in English
With the technological advance of the last years it has been normal to see microprocessors with multiple cores. The expectation is that the growth of number of cores becomes greater than the growth of the speed of these cores. This way, besides worrying about optimizing sequential algorithms, developers started to give more attention to the possibilities of proting from all capacity offered by the cores. There exists a few programming models that allow a concurrent approach. In these days, the most adopted concurrent programming model is the one based on threads, which uses shared memory and is adopted in Java. Other model is based on message passing, on which the active computational entities are called actors. In this project, we studied Scala language and its model based on actors. Besides that, we implemented in Scala a parallel version of a classification algorithm that simules the immune system of the animals, parallel AIRS, and compared its performance with the Java version.
 
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dissertacao_final.pdf (2.19 Mbytes)
Publishing Date
2012-03-19
 
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