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Automatic mapping tasks to cores : Evaluating AMTHA Algorithm in multicore architectures

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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The AMTHA (Automatic Mapping Task on Heterogeneous Architectures) algorithm for task-to-processors assignment and the MPAHA (Model of Parallel Algorithms on Heterogeneous Architectures) model are presented. The use of AMTHA is analyzed for multicore processor-based architectures, considering the communication model among processes in use. The results obtained in the tests carried out are presented, comparing the real execution times on multicores of a set of synthetic applications with the predictions obtained with AMTHA. Finally current lines of research are presented, focusing on clusters of multicores and hybrid programming paradigms 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). Automatic mapping tasks to cores: Evaluating AMTHA Algorithm in multicore architectures. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/20915

MLA

De Giusti, Laura Cristina et al. Automatic mapping tasks to cores: Evaluating AMTHA Algorithm in multicore architectures. SEDICI UNLP, 2009. http://sedici.unlp.edu.ar/handle/10915/20915.

Chicago

De Giusti, Laura Cristina et al. 2009. Automatic mapping tasks to cores: Evaluating AMTHA Algorithm in multicore architectures. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/20915.

Harvard

De Giusti, L. C. E. A. 2009, Automatic mapping tasks to cores: Evaluating AMTHA Algorithm in multicore architectures, SEDICI UNLP, available at: http://sedici.unlp.edu.ar/handle/10915/20915 [Accessed 8 Aug. 2026].

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Title
Automatic mapping tasks to cores : Evaluating AMTHA Algorithm in multicore architectures
Author / contributors
De Giusti, Laura Cristina et al
Publisher
SEDICI UNLP
Publication year
2009
Language
English

Subjects

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Ciencias Informáticas; Parallel algorithms; Modeling and prediction; task-to-processor mapping; performance prediction; multicore architectures
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