Exploiting Inherent Task-Based Parallelism in Object-Oriented Programming

While object-oriented programming (OOP) and parallelism originated as separate areas, there have been many attempts to bring those paradigms together. Few of them, though, meet the challenge of programming for parallel architectures and distributed platforms: offering good development expressiveness...

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Vydáno v:2011 IEEE/ACM 12th International Conference on Grid Computing s. 74 - 81
Hlavní autoři: Tejedor, E., Lordan, F., Badia, R. M.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.09.2011
Témata:
Asynchronous execution
Concurrent object-oriented programming
Instruments
Java
Object oriented modeling
Parallel processing
Parallel programming models
Productivity
Programming
Runtime
Synchronization
ISBN:9781457719042, 1457719045
ISSN:2152-1085
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Abstract While object-oriented programming (OOP) and parallelism originated as separate areas, there have been many attempts to bring those paradigms together. Few of them, though, meet the challenge of programming for parallel architectures and distributed platforms: offering good development expressiveness while not hindering application performance. This work presents the introduction of OOP in a parallel programming model for Java applications which targets productivity. In this model, one can develop a Java application in a totally sequential fashion, without using any new library or language construct, thus favouring programmability. We show how this model offers a good trade-off between ease of programming and runtime performance. A comparison with other approaches is provided, evaluating the key aspects of the model and discussing some results for a set of the NAS parallel benchmarks.
AbstractList While object-oriented programming (OOP) and parallelism originated as separate areas, there have been many attempts to bring those paradigms together. Few of them, though, meet the challenge of programming for parallel architectures and distributed platforms: offering good development expressiveness while not hindering application performance. This work presents the introduction of OOP in a parallel programming model for Java applications which targets productivity. In this model, one can develop a Java application in a totally sequential fashion, without using any new library or language construct, thus favouring programmability. We show how this model offers a good trade-off between ease of programming and runtime performance. A comparison with other approaches is provided, evaluating the key aspects of the model and discussing some results for a set of the NAS parallel benchmarks.
Author Tejedor, E.
Lordan, F.
Badia, R. M.
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  givenname: F.
  surname: Lordan
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  givenname: R. M.
  surname: Badia
  fullname: Badia, R. M.
  email: rosa.m.badia@bsc.es
  organization: Barcelona Supercomput. Center, Barcelona, Spain
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Snippet While object-oriented programming (OOP) and parallelism originated as separate areas, there have been many attempts to bring those paradigms together. Few of...
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StartPage 74
SubjectTerms Asynchronous execution
Concurrent object-oriented programming
Instruments
Java
Object oriented modeling
Parallel processing
Parallel programming models
Productivity
Programming
Runtime
Synchronization
Title Exploiting Inherent Task-Based Parallelism in Object-Oriented Programming
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