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Robustness analysis for the method of assignment MATEHa

De Giusti, Laura Cristina et al · SEDICI UNLP · 2008

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Author / responsible party
De Giusti, Laura Cristina et al
Publisher
SEDICI UNLP
Year
2008
Language
English

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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). Facultad de Informática

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APA 7

De Giusti, L. C. E. A. (2008). Robustness analysis for the method of assignment MATEHa. http://sedici.unlp.edu.ar/handle/10915/9616

MLA

De Giusti, Laura Cristina et al. "Robustness analysis for the method of assignment MATEHa." 2008. http://sedici.unlp.edu.ar/handle/10915/9616.

Chicago

De Giusti, Laura Cristina et al. 2008. "Robustness analysis for the method of assignment MATEHa.". http://sedici.unlp.edu.ar/handle/10915/9616.

Harvard

De Giusti, L. C. E. A. 2008, Robustness analysis for the method of assignment MATEHa, SEDICI UNLP, available at: http://sedici.unlp.edu.ar/handle/10915/9616 [Accessed 10 Aug. 2026].

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Title
Robustness analysis for the method of assignment MATEHa
Author / contributors
De Giusti, Laura Cristina et al
Publisher
SEDICI UNLP
Publication year
2008
Language
English

Subjects

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Ciencias Informáticas; cluster and multicluster architectures; heterogeneous processor; Parallel processing; Modeling and prediction
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