Abstract | ||
---|---|---|
Dark Silicon denotes the phenomenon that, due to thermal and power constraints, the fraction of transistors that can operate at full frequency is decreasing with each technology generation. We propose a PID (Proportional Integral Derivative) controller based dynamic power management method that considers an upper bound on power consumption (called the Thermal Design Power (TDP)). To avoid violation of the TDP constraint for manycore systems running highly dynamic workloads, it provides fine-grained DVFS (Dynamic Voltage and Frequency Scaling) including near-threshold operation. In addition, the method distinguishes applications with hard Real-Time, soft Real-Time and no Real-Time constraints and treats them with appropriate priorities. In simulations with dynamic workloads mixed-critical application profiles, we show that the method is effective in honoring the TDP bound and it can boost system throughput by over 43% compared to a naive TDP scheduling policy. |
Year | DOI | Venue |
---|---|---|
2014 | 10.1109/ICCD.2014.6974729 | Computer Design |
Keywords | Field | DocType |
elemental semiconductors,multiprocessing systems,network-on-chip,power aware computing,scheduling,silicon,three-term control,DVFS,PID controller,TDP scheduling policy,dark silicon aware power management,dynamic power management,dynamic voltage and frequency scaling,manycore systems,network-on-chip,proportional integral derivative controller,thermal design power,Dark Silicon,Dynamic Manycore Systems,Feedback Controller,Networks-on-Chip,Power Management | Dark silicon,Power management,Control theory,PID controller,Thermal design power,Computer science,Scheduling (computing),Parallel computing,Real-time computing,Frequency scaling,Throughput,Embedded system | Conference |
ISSN | Citations | PageRank |
1063-6404 | 5 | 0.47 |
References | Authors | |
0 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mohammad Hashem Haghbayan | 1 | 91 | 13.43 |
amirmohammad rahmani | 2 | 400 | 33.05 |
Awet Yemane Weldezion | 3 | 47 | 4.10 |
Pasi Liljeberg | 4 | 1147 | 92.79 |
Juha Plosila | 5 | 956 | 83.79 |
Axel Jantsch | 6 | 1875 | 169.83 |
Hannu Tenhunen | 7 | 1709 | 190.57 |