Performance comparison of parallel programming environments for implementing AIAC algorithms

Summary form only given. AIAC algorithms (Asynchronous Iterations Asynchronous Communications) are a particular class of parallel iterative algorithms. Their asynchronous nature makes them more efficient than their synchronous counterparts in numerous cases as has already been shown in previous work...

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Vydané v:Parallel and Distributed Processing: Proceedings, 18th International Symposium, Santa Fe, NM, 2004 s. 247
Hlavní autori: Bahi, J.M., Contassot-Vivier, S., Couturier, R.
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 2004
Predmet:
Asynchronous communication
Context
Distributed processing
Equations
Grid computing
Iterative algorithms
Parallel processing
Parallel programming
Programming environments
Testing
ISBN:9780769521329, 0769521320
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Abstract Summary form only given. AIAC algorithms (Asynchronous Iterations Asynchronous Communications) are a particular class of parallel iterative algorithms. Their asynchronous nature makes them more efficient than their synchronous counterparts in numerous cases as has already been shown in previous works. The first goal is to compare several parallel programming environments in order to see if there is one of them which is best suited to efficiently implement AIAC algorithms. The main criterion for this comparison consists in the performances achieved in a global context of grid computing for two classical scientific problems. Nevertheless, we also take into account two secondary criteria, which are the ease of programming and the ease of deployment. The second goal is to extract from this comparison the important features that a parallel programming environment must have in order to be suited for the implementation of AIAC algorithms.
AbstractList Summary form only given. AIAC algorithms (Asynchronous Iterations Asynchronous Communications) are a particular class of parallel iterative algorithms. Their asynchronous nature makes them more efficient than their synchronous counterparts in numerous cases as has already been shown in previous works. The first goal is to compare several parallel programming environments in order to see if there is one of them which is best suited to efficiently implement AIAC algorithms. The main criterion for this comparison consists in the performances achieved in a global context of grid computing for two classical scientific problems. Nevertheless, we also take into account two secondary criteria, which are the ease of programming and the ease of deployment. The second goal is to extract from this comparison the important features that a parallel programming environment must have in order to be suited for the implementation of AIAC algorithms.
Author Contassot-Vivier, S.
Bahi, J.M.
Couturier, R.
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  givenname: R.
  surname: Couturier
  fullname: Couturier, R.
  organization: Lab. d'Informatique de Franche-Comt, IUT de Belfort-Montbeliard, Belfort, France
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Snippet Summary form only given. AIAC algorithms (Asynchronous Iterations Asynchronous Communications) are a particular class of parallel iterative algorithms. Their...
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StartPage 247
SubjectTerms Asynchronous communication
Context
Distributed processing
Equations
Grid computing
Iterative algorithms
Parallel processing
Parallel programming
Programming environments
Testing
Title Performance comparison of parallel programming environments for implementing AIAC algorithms
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