Abstract
Mobile and embedded devices have adopted the clustered multiprocessing architecture paradigm in order to serve the increasing workload demands and control/reduce their power consumption. Cores of the same type are integrated into clusters and cluster-wide voltage/frequency scaling mechanisms help them operate under specific power constraints. In this letter, we propose a methodology that: 1) enhances performance by addressing contention on shared resources of the cluster and 2) pro-actively predicts the maximum frequency under which the cluster should operate in order to meet a user-defined power threshold. Experimental results on an Odroid-XU3 board show that the proposed methodology meets the power thresholds, achieving at the same time high performance. Particularly for 7-W threshold, it achieved 5% performance gain over Linux which at the same time consumed 8-W approximately.
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