A control-theoretic approach for energy efficient CPU-GPU subsystem in mobile platforms Conference Paper uri icon


  • © 2015 ACM. This paper presents a control-theoretic approach to optimize the energy consumption of integrated CPU and GPU subsystems for graphic applications. It achieves this via a dynamic management of the CPU and GPU frequencies. To this end, we first model the interaction between the GPU and CPU as a queuing system. Second, we formulate a Multi-Input-Multi-Output state-space closed loop control to ensure robustness and stability. We evaluated this control on an Intel Baytrail-based Android platform. Experimental evaluations show energy savings of 17.4% in the CPU-GPU subsystem with a low performance impact of 0.9%.

name of conference

  • DAC '15: The 52nd Annual Design Automation Conference 2015

published proceedings

  • 52nd ACM/EDAC/IEEE Design Automation Conference (DAC)

author list (cited authors)

  • Kadjo, D., Ayoub, R., Kishinevsky, M., & Gratz, P. V.

citation count

  • 30

complete list of authors

  • Kadjo, David||Ayoub, Raid||Kishinevsky, Michael||Gratz, Paul V

publication date

  • June 2015


  • ACM  Publisher