Title
Combining Coarse-Grained Software Pipelining with DVS for Scheduling Real-Time Periodic Dependent Tasks on Multi-Core Embedded Systems
Abstract
In this paper, we combine coarse-grained software pipelining with DVS (Dynamic Voltage/Frequency Scaling) for optimizing energy consumption of stream-based multimedia applications on multi-core embedded systems. By exploiting the potential of multi-core architecture and the characteristic of streaming applications, we propose a two-phase approach to solve the energy minimization problem for periodic dependent tasks on multi-core processors with discrete voltage levels. With our approach, in the first phase, we propose a coarse-grained task-level software pipelining algorithm called RDAG to transform the periodic dependent tasks into a set of independent tasks based on the retiming technique (Leiserson and Saxe, Algorithmica 6:5---35, 1991). In the second phase, we propose two DVS scheduling algorithms for energy minimization. For single-core processors, we propose a pseudo-polynomial algorithm based on dynamic programming that can achieve optimal solution. For multi-core processors, we propose a novel scheduling algorithm called SpringS which works like a spring and can effectively reduce energy consumption by iteratively adjusting task scheduling and voltage selection. We conduct experiments with a set of benchmarks from E3S (Dick 2008) and TGFF ( http://ziyang.ece.northwestern.edu/tgff/ ) based on the power model of the AMD Mobile Athlon4 DVS processor. The experimental results show that our technique can achieve 12.7% energy saving compared with the algorithms in Zhang et al. (2002) on average.
Year
DOI
Venue
2009
10.1007/s11265-008-0315-2
Signal Processing Systems
Keywords
Field
DocType
Dynamic voltage scaling (DVS),Multi-core,Scheduling,Multimedia,Software pipelining,Retiming,Real-time,Periodic dependent tasks
Retiming,Dynamic programming,Software pipelining,Computer science,Scheduling (computing),Parallel computing,Real-time computing,Frequency scaling,Energy consumption,Multi-core processor,Embedded system,Energy minimization
Journal
Volume
Issue
ISSN
57
2
1939-8018
Citations 
PageRank 
References 
8
0.52
41
Authors
6
Name
Order
Citations
PageRank
Hui Liu11269.88
Zili Shao21618134.03
Meng Wang3808.46
Junzhao Du413115.61
Chun Jason Xue51616140.95
zhiping jia646360.64