Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/3698
Título: Energy-conscious tasks partitioning onto a heterogeneous multi-core platform
Autor: Awan, Muhammad Ali
Petters, Stefan M.
Data: 2012
Editora: IPP Hurray! Research Group
Resumo: Modern multicore processors for the embedded market are often heterogeneous in nature. One feature often available are multiple sleep states with varying transition cost for entering and leaving said sleep states. This research effort explores the energy efficient task-mapping on such a heterogeneous multicore platform to reduce overall energy consumption of the system. This is performed in the context of a partitioned scheduling approach and a very realistic power model, which improves over some of the simplifying assumptions often made in the state-of-the-art. The developed heuristic consists of two phases, in the first phase, tasks are allocated to minimise their active energy consumption, while the second phase trades off a higher active energy consumption for an increased ability to exploit savings through more efficient sleep states. Extensive simulations demonstrate the effectiveness of the approach.
Peer review: no
URI: http://hdl.handle.net/10400.22/3698
Versão do Editor: http://www.cister.isep.ipp.pt/docs/
Aparece nas colecções:ISEP – CISTER – Relatórios

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