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Energy-Aware Task Partitioning on Heterogeneous Multiprocessor Platforms
Efficient task partitioning plays a crucial role in achieving high performance at multiprocessor plat forms. This paper addresses the problem of energy-aware static partitioning of periodic real-time tasks on heterogeneous multiprocessor platforms. A Particle Swarm Optimization variant based on Min-min technique for task partitioning is proposed. The proposed approach aims to minimize the overall energy consumption, meanwhile avoid deadline...
8 p pdu 26/09/2012 183 1
Từ khóa: Operating Systems, the International Journal of Computer Science Issues, Energy-Aware Task Partitioning on Heterogeneous Multiprocessor Platforms, Computer Engineering, Electronics Communication, Computer Science and Engineering, kỹ thuật điện và máy tính
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