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Robustness analysis for the method of assignment MATEHa

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De Giusti, Laura Cristina

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Material type: Article

ArticlePublication details: ref_localidad@NULL : Universidad Nacional de La Plata. Facultad de Informática, 2008Description: 1 archivo (633,7 KB)Subject(s):

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Summary: The TTIGHa model has been developed to model and predict the performance of parallel applications run over heterogeneous architectures. In addition, the task assignment algorithm was implemented to MATEHa processors based on the TTIGHa model. This paper analyzes the assignment algorithm robustness before different variations which the model parameters may undergo (basically, communication and processing times).

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Capítulo de libro	Biblioteca Fac.Informática	A0419 (Browse shelf(Opens below))	Available		DIF-A0419

Formato de archivo: PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca)

The TTIGHa model has been developed to model and predict the performance of parallel applications run over heterogeneous architectures. In addition, the task assignment algorithm was implemented to MATEHa processors based on the TTIGHa model. This paper analyzes the assignment algorithm robustness before different variations which the model parameters may undergo (basically, communication and processing times).

Journal of Computer Science & Technology, 8(1), pp. 1-7

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