Title
Peak Power Management for scheduling real-time tasks on heterogeneous many-core systems
Abstract
The number and diversity of cores in on-chip systems is increasing rapidly. However, due to the Thermal Design Power (TDP) constraint, it is not possible to continuously operate all cores at the same time. Exceeding the TDP constraint may activate the Dynamic Thermal Management (DTM) to ensure thermal stability. Such hardware based closed-loop safeguards pose a big challenge in using many-core chips for real-time tasks. Managing the worst-case peak power usage of a chip can help toward resolving this issue. We present a scheme to minimize the peak power usage for frame-based and periodic real-time tasks on many-core processors by scheduling the sleep cycles for each active core and introduce the concept of a sufficient test for peak power consumption for task feasibility. We consider both inter-task and inter-core diversity in terms of power usage and present computationally efficient algorithms for peak power minimization for these cases, i.e., a special case of “homogeneous tasks on homogeneous cores” to the general case of “heterogeneous tasks on heterogeneous cores”. We evaluate our solution through extensive simulations using the 48-core SCC platform and gem5 architecture simulator. Our simulation results show the efficacy of our scheme.
Year
DOI
Venue
2014
10.1109/PADSW.2014.7097809
Parallel and Distributed Systems
Keywords
Field
DocType
multiprocessing programs,power aware computing,real-time systems,scheduling,task analysis,thermal stability,DTM,TDP constraint,closed-loop safeguards,dynamic thermal management,heterogeneous many-core systems,on-chip systems,peak power management,real-time tasks,scheduling,thermal design power,thermal stability,Peak power managment,Real-time,many-core
Power management,Thermal design power,Computer architecture simulator,Scheduling (computing),Computer science,Chip,Real-time computing,Periodic graph (geometry),Embedded system,Power consumption,Distributed computing,Special case
Conference
ISSN
Citations 
PageRank 
1521-9097
2
0.39
References 
Authors
19
4
Name
Order
Citations
PageRank
Munawar, W.120.39
Khdr, H.220.39
Pagani, S.320.39
Muhammad Shafique41945157.67