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Robustness analysis for the method of assignment MATEHa

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De Giusti, Laura Cristina

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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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Item type	Home library	Collection	Call number	URL	Status	Date due	Barcode
Capítulo de libro	Biblioteca de la Facultad de Informática	Biblioteca digital	A0419 (Browse shelf(Opens below))	Link to resource	No corresponde

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Previous	A0416 A model for the automatic mapping of tasks to processors in heterogeneous multi-cluster architectures	A0417 A lightweight method for computing ball spin in real time	A0418 Knowledge discovery for knowledge based systems : some experimental results	A0419 Robustness analysis for the method of assignment MATEHa	A0420 La importancia de la modalidad blended learning : análisis de una experiencia educativa	A0421 Hacia un modelo de evaluación de entornos virtuales de enseñanza y aprendizaje : la importancia de la usabilidad	A0422 Book Review : using OpenMP: portable shared memory parallel programming, Barbara Chapman, Gabriele Jost, Ruud van der Pas	Next

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