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Dynamic scheduling in heterogeneous multiprocessor architectures : Efficiency analysis

De Giusti, Laura Cristina et al · SEDICI UNLP · 2009

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Author / responsible party
De Giusti, Laura Cristina et al
Publisher
SEDICI UNLP
Year
2009
Language
English

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A MPAHA (Model for Parallel Algorithms on Heterogeneous Architectures) model that allows predicting parallel application performance running over heterogeneous architectures is presented. MPAHA considers the heterogeneity of processors and communications. From the results obtained with the MPAHA model, the AMTHA (Automatic Mapping Task on Heterogeneous Architectures) algorithm for task-to-processors assignment is presented and its implementation is analyzed. DCS_AMTHA, a dynamic scheduling strategy for multiple applications on heterogeneous multiprocessor architectures, is defined and experimental results focusing on global efficiency are presented. Finally, current lines of research related with model extensions for clusters of multicores are mentioned. Presentado en el IX Workshop Procesamiento Distribuido y Paralelo (WPDP). Red de Universidades con Carreras en Informática (RedUNCI)

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APA 7

De Giusti, L. C. E. A. (2009). Dynamic scheduling in heterogeneous multiprocessor architectures: Efficiency analysis. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/20904

MLA

De Giusti, Laura Cristina et al. Dynamic scheduling in heterogeneous multiprocessor architectures: Efficiency analysis. SEDICI UNLP, 2009. http://sedici.unlp.edu.ar/handle/10915/20904.

Chicago

De Giusti, Laura Cristina et al. 2009. Dynamic scheduling in heterogeneous multiprocessor architectures: Efficiency analysis. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/20904.

Harvard

De Giusti, L. C. E. A. 2009, Dynamic scheduling in heterogeneous multiprocessor architectures: Efficiency analysis, SEDICI UNLP, available at: http://sedici.unlp.edu.ar/handle/10915/20904 [Accessed 7 Aug. 2026].

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Title
Dynamic scheduling in heterogeneous multiprocessor architectures : Efficiency analysis
Author / contributors
De Giusti, Laura Cristina et al
Publisher
SEDICI UNLP
Publication year
2009
Language
English

Subjects

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Ciencias Informáticas; Scheduling; Parallel algorithms; Distributed architectures
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