TY - GEN
T1 - Adaptive dynamic power management for hard real-time pipelined Multiprocessor Systems
AU - Chen, Gang
AU - Huang, Kai
AU - Knoll, Alois
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/9/25
Y1 - 2014/9/25
N2 - Energy efficiency is a critical design concern for embedded systems. Dynamic power management (DPM) schemes in Multiprocessor System on Chips (MPSoCs) has been wildly used to explore the idleness of processors and dynamically reduce the energy consumption by putting idle processors to low-power states. In this paper, we explore how to effectively apply dynamic power management in adaptive manner to reduce leakage power consumption for coarse-grained pipelined systems under hard real-time requirements. At each adaptive point, a system transformation is proposed to model the pipeline system with unfinished events as multi-stream system. By using extended pay-burst-only-once principle, the service curves for corresponding stream can be computed as a constraint for a minimal resource demand and energy minimization problem can be formulated with respect to the resource demands at each adaptive point. One light-weight heuristic, called balance workload scheme (BWS), is proposed in this paper to solve the minimization problem. Simulation results using real-life applications are presented to demonstrate the effectiveness of our approach.
AB - Energy efficiency is a critical design concern for embedded systems. Dynamic power management (DPM) schemes in Multiprocessor System on Chips (MPSoCs) has been wildly used to explore the idleness of processors and dynamically reduce the energy consumption by putting idle processors to low-power states. In this paper, we explore how to effectively apply dynamic power management in adaptive manner to reduce leakage power consumption for coarse-grained pipelined systems under hard real-time requirements. At each adaptive point, a system transformation is proposed to model the pipeline system with unfinished events as multi-stream system. By using extended pay-burst-only-once principle, the service curves for corresponding stream can be computed as a constraint for a minimal resource demand and energy minimization problem can be formulated with respect to the resource demands at each adaptive point. One light-weight heuristic, called balance workload scheme (BWS), is proposed in this paper to solve the minimization problem. Simulation results using real-life applications are presented to demonstrate the effectiveness of our approach.
UR - http://www.scopus.com/inward/record.url?scp=84908626172&partnerID=8YFLogxK
U2 - 10.1109/RTCSA.2014.6910525
DO - 10.1109/RTCSA.2014.6910525
M3 - Conference contribution
AN - SCOPUS:84908626172
T3 - RTCSA 2014 - 20th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
BT - RTCSA 2014 - 20th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 20th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2014
Y2 - 20 August 2014 through 22 August 2014
ER -
