DocumentCode
580127
Title
Age based scheduling for asymmetric multiprocessors
Author
Lakshminarayana, Nagesh B. ; Jaekyu Lee ; Hyesoon Kim
Author_Institution
Sch. of Comput. Sci., Georgia Inst. of Technol., Atlanta, GA, USA
fYear
2009
fDate
14-20 Nov. 2009
Firstpage
1
Lastpage
12
Abstract
Asymmetric (or Heterogeneous) Multiprocessors are becoming popular in the current era of multi-cores due to their power efficiency and potential performance and energy efficiency. However, scheduling of multithreaded applications in Asymmetric Multiprocessors is still a challenging problem. Scheduling algorithms for Asymmetric Multiprocessors must not only be aware of asymmetry in processor performance, but have to consider the characteristics of application threads also. In this paper, we propose a new scheduling policy, Age based scheduling, that assigns a thread with a larger remaining execution time to a fast core. Age based scheduling predicts the remaining execution time of threads based on their age, i.e., when the threads were created. These predictions are based on the insight that most threads that are created together tend to have similar execution durations. Using Age based scheduling, we improve the overall performance of several important multithreaded applications including Parsec and asymmetric benchmarks from Splash-II and Omp-SCR. Our evaluations show that Age based scheduling improves performance up to 37% compared to the state-of-the-art Asymmetric Multiprocessor scheduling policy and on average by 10.4% for the Parsec benchmarks. Our results also show that the Age based scheduling policy with profiling improves the average performance by 13.2% for the Parsec benchmarks.
Keywords
microprocessor chips; multiprocessing systems; processor scheduling; Omp-SCR; Parsec; Splash-II; age based scheduling; asymmetric multiprocessors; energy efficiency; heterogeneous multiprocessors; multicores; multithreaded application; power efficiency; scheduling policy; age based scheduling; asymmetric multiprocessors; thread scheduling;
fLanguage
English
Publisher
ieee
Conference_Titel
High Performance Computing Networking, Storage and Analysis, Proceedings of the Conference on
Conference_Location
Portland, OR
Type
conf
DOI
10.1145/1654059.1654085
Filename
6375576
Link To Document