CPU-GPU-Memory DVFS for Power-Efficient MPSoC in Mobile Cyber Physical Systems

Most modern mobile cyber-physical systems such as smartphones come equipped with multi-processor systems-on-chip (MPSoCs) variant computing capacity both to cater performance requirements and reduce power consumption when executing an application. In this paper, we propose a novel approach dynamic voltage frequency scaling (DVFS) on CPU, GPU RAM in MPSoC, which caters the of application while consuming low power. We evaluate our methodology real hardware platform, Odroid XU4, experimental results prove be 26% more power-efficient 21% thermal-efficient compared state-of-the-art system.