Energy Management on Battery-Powered Coarse-Grained Reconfigurable Platforms


Coarse-grained reconfigurable design (CGRA) can offer sturdy capability of parallel computation and flexibility; it is changing into a promising platform for mobile computing. As mobile platforms increasingly demand power, more and a lot of mobile platforms adopt multibattery- or multicell-based power systems to extend battery runtime. This paper addresses energy management for the aim of extending the lifetime of battery-powered reconfigurable computing platforms. Considering the nonlinear characteristics of batteries and working mechanism of the CGRA, a multiobjective optimization model with respect to the battery state and energy consumption is constructed for extending battery lifetime. Meanwhile, primarily based on this optimization model, a joint task-mapping and battery-scheduling methodology is proposed to achieve a practical and efficient answer. The physical experiments show that this paper achieves higher improvement on battery runtime when put next with state-of-the-art works.

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