Journal of the Institute of Electronics Engineers of Korea SD (대한전자공학회논문지SD)

The Institute of Electronics and Information Engineers (대한전자공학회)
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Dynamic Power Management Framework for Mobile Multi-core System

모바일 멀티코어 시스템을 위한 동적 전력관리 프레임워크

  • Ahn, Young-Ho (Department of Electronics, Communication Computer Engineering, Hanyang University) ;
  • Chung, Ki-Seok (Department of Electronics, Communication Computer Engineering, Hanyang University)
  • 안영호 (한양대학교 전자통신컴퓨터공학부) ;
  • 정기석 (한양대학교 전자통신컴퓨터공학부)
  • Received : 2010.05.06
  • Accepted : 2010.07.05
  • Published : 2010.07.25
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Abstract

In this paper, we propose a dynamic power management framework for multi-core systems. We reduced the power consumption of multi-core processors such as Intel Centrino Duo and ARM11 MPCore, which have been used at the consumer electronics and personal computer market. Each processor uses a different technique to save its power usage, but there is no embedded multi-core processor which has a precise power control mechanism such as dynamic voltage scaling technique. The proposed dynamic power management framework is suitable for smart phones which have an operating system to provide multi-processing capability. Basically, our framework follows an intuitive idea that reducing the power consumption of idle cores is the most effective way to save the overall power consumption of a multi-core processor. We could minimize the energy consumption used by idle cores with application-targeted policies that reflect the characteristics of active workloads. We defined some properties of an application to analyze the performance requirement in real time and automated the management process to verify the result quickly. We tested the proposed framework with popular processors such as Intel Centrino Duo and ARM11 MPCore, and were able to find that our framework dynamically reduced the power consumption of multi-core processors and satisfied the performance requirement of each program.

본 논문에서는 멀티코어 시스템을 위한 동적전력관리 프레임워크를 통하여 응용프로그램의 특성에 따라 멀티코어의 불필요한 전력소모를 줄일 수 있음을 Intel Centrino Duo를 사용한 경우와 ARM11 MPCore를 사용한 경우를 통하여 검증하였다. 프로세서의 종류에 따라 전력 소모를 줄이기 위하여 사용된 기술에 차이가 있으며 아직까지는 멀티코어 임베디드 프로세서에 동적 전압 관리와 같은 정밀한 제어가 이뤄지지 못하고 있다. 제안하는 동적전력관리 프레임워크를 이용하여 스마트폰과 같이 운영체제를 통한 멀티 프로세싱을 지원하는 환경에서는 다수의 프로세서가 소모하는 불필요한 전력을 효과적으로 줄일 수 있어야한다. 필요한 만큼의 프로세서 성능을 결정하고 실시간으로 프로세서의 성능을 변경함으로써 각 응용프로그램의 동작을 위한 최소 요구사항을 만족시키면서 전력소모를 최소화 시킬 수 있다. 이를 위하여 본 논문에서는 응용프로그램의 실행과 종료에 따라 필요한 동작을 자동화시키고 시스템 성능을 분석하기 위한 기준을 정의하였다. 대표적인 임베디드 프로세서와 범용프로세서에 제안하는 전력 관리 프레임워크를 적용하여 성능을 검증하였으며 본 논문이 제안한 동적전력관리 프레임워크가 응용프로그램의 최소 요구 성능을 만족시키면서 가능한 전력소모를 줄일 수 있는 인터페이스라는 것을 확인하였다.

Keywords

Acknowledgement

Supported by : 정보통신산업진흥원

References

  1. X.-H. Sun, Y. Chen and S. Byna, "Scalable Computing in Multicore Era", PAAP, Sep. 2008.
  2. Alon N., Efran R., Avi M., Simcha G., Rajshree C., Karthik K., Arun K., "Power and Thermal Management in the Intel Core Duo Processor", Intel Technology Journal, Volume 10, Issue 02, May 15, 2006.
  3. J.A. Winter and D.H. Albonesi, "Scheduling Algorithms for Unpredictably Heterogeneous CMP Architectures", 38th International Conference on Dependable Systems and Networks, June 2008.
  4. Hongzhong Zheng, Jiang Lin, Zhao Zhang, and Zhichun Zhu, "Memory Access Scheduling Schemes for Systems with Multi-Core Processors", ICPP'08, Partland, Oregon, September 8-12, 2008.
  5. Svetislav Momcilovic, and Leonel Sousa, "A Parallel Algorithm for Advanced Video Motion Estimation on Multicore Architectures", MuCoCoS, 2008.
  6. Kinshuk Govil, Edwin Chant, Hal Wasserman, "Comparing Algorithms for Dynamic Speed-Setting of a Low-Power CPU", International Conference on Mobile Computing and Networking, November 1995.
  7. Zhang Yuhua, Qian Longhua, Lv Qiang, Zhao Lei, "A dynamic frequency scaling solution to DPM in embedded linux systems", Proceedings of the 10th IEEE international conference on Information Reuse & Integration, August 2009.
  8. Jacob R. Lorch, Alan Jay Smith, "Operating System Modifications for Task-Based Speed and Voltage", International Conference On Mobile Systems, Applications And Service, 2003.
  9. Hrishikesh Amur, Ripal Nathuji, Mrinmoy Ghosh, Karsten Schwan, Hsien-Hsin S. Lee, "IdlePower: Application-Aware Management of Processor Idle States", MMCS, 2008.
  10. Allan Porterfield, Rob Fowler, Mark Neyer, "MAESTRO: Dynamic Runtime Power and Concurrency Adaptation", MMCS, 2008.
  11. Chen Tianzhou, Huang Jiangwei, Xiang Lingxiang, Shi Qingsong, "Dynamic power management framework for multi-core portable embedded system", IFMT, 2008.
  12. Canturk Isci, Alper Buyuktosunoglu, Chen-Yong Cher, Pradip Bose, "An Analysis of Efficient Multi-Core Global Power Management Policies: Maximizing Performance for a Given Power Budget", International Symposium on Microarchitecture, 2006.
  13. W. Lloyd Bircher, Lizy K. John, "Analysis of dynamic power management on multi-core processors", International Conference on Supercomputing, 2008.
  14. Youngho Ahn, Young-Si Hwang, Ki-Seok Chung, "Flexible Framework for Dynamic Management of Multi-Core Systems", ISOCC, November 2009.
  15. ARM11 MPCore Processor Technical Reference Manual
  16. Intel64 and IA-32 Architectures Software Developer's Manual, Volume3A: System Programming Guide, Part1
  17. Dynamic Power Management for Embedded Systems, IBM and MotaVista Software,Version1.1, November 19, 2002.