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GPU implementations of scheduling heuristics for heterogeneous computing environments

Nesmachnow, Sergio et al · SEDICI UNLP · 2011

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This work presents the application of parallel computing techniques using Graphic Processing Units to improve the effciency of scheduling heuristics for heterogeneous computing systems. The experimental evaluation of the proposed methods demonstrates that a signiffcant reduction on the computing times can be attained, allowing to tackle large scheduling scenarios in reasonable execution times. Presentado en el XI Workshop Procesamiento Distribuido y Paralelo (WPDP) Red de Universidades con Carreras en Informática (RedUNCI)

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APA 7

Nesmachnow, S. E. A. (2011). GPU implementations of scheduling heuristics for heterogeneous computing environments. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/18652

MLA

Nesmachnow, Sergio et al. GPU implementations of scheduling heuristics for heterogeneous computing environments. SEDICI UNLP, 2011. http://sedici.unlp.edu.ar/handle/10915/18652.

Chicago

Nesmachnow, Sergio et al. 2011. GPU implementations of scheduling heuristics for heterogeneous computing environments. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/18652.

Harvard

Nesmachnow, S. E. A. 2011, GPU implementations of scheduling heuristics for heterogeneous computing environments, SEDICI UNLP, available at: http://sedici.unlp.edu.ar/handle/10915/18652 [Accessed 9 Aug. 2026].

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Title
GPU implementations of scheduling heuristics for heterogeneous computing environments
Author / contributors
Nesmachnow, Sergio et al
Publisher
SEDICI UNLP
Publication year
2011
Language
English

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