Energy-Efficient Scheduling of Real-Time Tasks on Heterogeneous Multicores Using Task Splitting
Di Liu, Jelena Spasic, Peng Wang, Todor P. Stefanov · 2016
In this paper, we investigate the problem of using the state-of-the-art C=D task-splitting approach to energy efficiently schedule real-time tasks on a single-ISA heterogeneous multicore system. We first extend the existing task-splitting approach for heterogeneous multicore systems. Based on our extension, we propose an algorithm, called ASHM, to allocate and split realtime tasks on a heterogeneous multicore system. The experimental results demonstrate the effectiveness of our proposed ASHM algorithm compared to existing allocation approaches in terms of energy savings.