Name
Abstract | ||
|---|---|---|
Performance optimization and energy efficiency are the major challenges in multi-core system design. Of the state-of-the-art approaches, cache affinity aware scheduling and techniques based on dynamic voltage frequency scaling (DVFS) are widely applied to improve performance and save energy consumptions respectively. In modern operating systems, schedulers exploit high cache affinity by allocating a process on a recently used processor whenever possible. When a process runs on a high-affinity processor it will find most of its states already in the cache and will thus achieve more efficiency. However, most state-of-the-art DVFS techniques do not concentrate on the cost analysis for DVFS mechanism. In this paper, we firstly propose frequency affinity which retains the voltage frequency as long as possible to avoid frequently switching, and then present a frequency affinity aware scheduling (FAS) to maximize power efficiency for multi-core systems. Experimental results demonstrate our frequency affinity aware scheduling algorithms are much more power efficient than single-ISA heterogeneous multi-core processors. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/MASCOTS.2012.63 | MASCOTS |
Keywords | Field | DocType |
maximizing power efficiency,cache affinity aware scheduling,processor scheduling,high cache affinity,power aware computing,single-isa heterogeneous multicore processor,scheduling,multi-core systems,multi-core system,cost analysis,power efficiency,cache storage,dynamic voltage frequency scaling,fas,energy conservation,frequency affinity,voltage frequency,frequency affinity aware scheduling algorithm,multiprocessing systems,high-affinity processor,dvfs,performance optimization,single-isa heterogeneous multi-core,energy consumption,cache affinity,frequency affinity aware scheduling,dvfs mechanism,multi-core system design,energy efficiency,multicore system design,optimization,time frequency analysis,instruction sets,switches,multicore processing | Electrical efficiency,Energy conservation,Scheduling (computing),Efficient energy use,Computer science,Cache,Systems design,Real-time computing,Energy consumption,Multi-core processor,Distributed computing | Conference |
ISSN | ISBN | Citations |
1526-7539 | 978-1-4673-2453-3 | 4 |
PageRank | References | Authors |
0.45 | 2 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gangyong Jia | 1 | 150 | 24.20 |
| Xi Li | 2 | 202 | 36.61 |
| Chao Wang | 3 | 372 | 62.24 |
| Xuehai Zhou | 4 | 37 | 6.89 |
| Zongwei Zhu | 5 | 24 | 9.35 |