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task mapping plays a crucial role in saving energy in asymmetric multiprocessor platforms. This paper considers the problem of energy-aware static mapping of periodic real- time dependent tasks sharing resources on asymmetric multi/many-core embedded systems. The paper extends an existing synchronization-aware bin-packing (BP) variant when the full-chip dynamic voltage and frequency scaling (DVFS) is supported by the asymmetric multicore platform. Then, the paper proposes another BP variant when DVFS is not supported. The simulation results showed that the proposed BP variant can reduce energy consumption significantly in the presence of shared resources.

Energy and Synchronization-Aware Mapping of Real-Time Tasks on Asymmetric Multicore Platforms