A Powersaving Dvfs Algorithm Based On Operational Intensity For Embedded Systems

Energy use is currently an important issue in mobile embedded systems, and this will be continue in the future because of battery problems. We focused on a Dynamic Voltage Frequency Scaling (DVFS) algorithm to save as much energy as possible, and investigated the correlation of operations between memory and CPU. We introduce an Operational Intensity (OI)-based DVFS algorithm to follow the optimal frequency to conserve energy in embedded systems. Our proposed method was verified using FPMark of EEMBC, and conserved energy up to 17% in a memory-bound application.