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Theses

Echange de données pour le parallélisme à gros grain

Abstract : We can distinguish two classes of parallel models: models with fine grain and those with coarse grain. The coarse grain models have a multitude of dedicated libraries facilitating the implementation of their respective algorithms. This thesis focuses on the library SSCRAP which is initially designed for the CGM model. We extended the support of SSCRAP to the model BSP and PRO. Indeed, we proposed and integrated on SSCRAP a new exchange model, a new synchronization model and a new execution model. In order to improve the efficiency of SSCRAP on shared memory architecture, we also designed and implemented a new interface of low level communication. The experimental studies highlight the very good behaviour of SSCRAP and then extend the proof of validity as well to the algorithms as to the coarse grain models.
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Theses
File URL :
http://docnum.univ-lorraine.fr/prive/SCD_T_2004_0007_ESSAIDI.pdf
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https://hal.univ-lorraine.fr/tel-01746810
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Submitted on : Thursday, March 29, 2018 - 10:45:16 AM
Last modification on : Tuesday, August 25, 2020 - 11:49:56 AM

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  • HAL Id : tel-01746810, version 1

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Mohamed Essaïdi. Echange de données pour le parallélisme à gros grain. Autre [cs.OH]. Université Henri Poincaré - Nancy 1, 2004. Français. ⟨NNT : 2004NAN10007⟩. ⟨tel-01746810⟩

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