A power-aware run-time system for high-performance computing

Proceedings of the International Conference on Supercomputing

Volumn 2005-November, Issue , 2005, Pages

  Hsu, Chung Hsing ^a   Feng, Wu Chun ^a  

^a LOS ALAMOS NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DYNAMIC FREQUENCY SCALING; EMBEDDED SYSTEMS; VOLTAGE SCALING;

COMPUTING COMMUNITY; HIGH PERFORMANCE COMPUTING SYSTEMS; LARGE MACHINES; LARGE-SCALES; MACHINE ROOMS; PERFORMANCE; PERFORMANCE COMPUTING; POWER DENSITIES; POWER-AWARE; RUN- TIME SYSTEMS;

ENERGY CONSERVATION;

EID: 85117220234     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SC.2005.3     Document Type: Conference Paper

References (28)

1. W. Feng. Making a case for efficient supercomputing. ACM Queue, 1(7):54-64, Oct. 2003.
2. X. Feng, R. Ge, and K. Cameron. Power and energy profiling of scientific applications on distributed systems. Proc. 19th Int'l Parallel & Distributed Processing Symp. (IPDPS 05), Apr. 2005.
3. K. Flautner, S. Reinhardt, and T. Mudge. Automatic performance-setting for dynamic voltage scaling. Proc.7th Int'l Conf. Mobile Computing and Networking (MobiCom 01), July 2001.
4. J. Flinn and M. Satyabarayanan. Energy-aware adaptation for mobile applications. Proc. 17th Symp. Operating Systems Principles (SOSP 99), Dec. 1999.
5. V. Freeh, D. Lowenthal, F. Pan, and N. Kappiah. Using multiple energy gears in MPI programs on a power-scalable cluster. Proc. Symp. Principles and Practices of Parallel Programming (PPoPP 05), June 2005.
6. V. Freeh, D. Lowenthal, R. Springer, F. Pan, and N. Kappiah. Exploring the energy-time tradeoff in MPI programs on a power-scalable cluster. Proc. 19th Int'l Parallel & Distributed Processing Symp. (IPDPS 05), Apr. 2005.
7. R. Ge, X. Feng, and K. Cameron. Improvement of power-performance efficiency for high-end computing. Proc. 1st Workshop High-Performance, Power-Aware Computing (HP-PAC 05), Apr. 2005.
8. K. Govil, E. Chan, and H. Wasserman. Comparing algorithms for dynamic speed-setting of a low-power CPU. Proc. 1st Int'l Conf. Mobile Computing and Networking (MobiCom 95), Nov. 1995.
9. F. Gruian. Hard real-time scheduling for low-energy using stochastic data and DVS processors. Proc. Int'l Symp. Low-Power Electronics and Design (ISLPED 01), Aug. 2001.
10. D. Grunwald, P. Levis, K. Farkas, C. Morrey, and M. Neufeld. Policies for dynamic clock scheduling. Proc. 4th Symp. Operating System Design and Implementation (OSDI 00), Oct. 2000.
11. C. Hsu and W. Feng. Effective dynamic voltage scaling through CPU-boundedness detection. Proc. 4th Workshop Power-Aware Computer Systems (PACS 04), Dec. 2004.
12. C. Hsu and U. Kremer. The design, implementation, and evaluation of a compiler algorithm for cpu energy reduction. Proc. 2003 Conf. Programming Languages Design and Implementation (PLDI 03), June 2003.
13. J. Lorch and A. Smith. Improving dynamic voltage algorithms with PACE. Proc. Int'l Conf. Measurement & Modeling of Computer Systems (SIGMETRICS 01), June 2001.
14. A. Milenkovic, M. Milenkovic, E. Jovanov, and D. Hite. An environment for runtime power monitoring of wireless sensor network platforms. Proc. 37th Southeastern Symp. System Theory (SSST 05), Mar. 2005.
15. B. Mochocki, X. Hu, and G. Quan. A unified approach to variable voltage scheduling for nonideal DVS processors. IEEE Trans. Computer-Aided Design of Integrated Circuits and Systems, 23(9):1370-1377, Sept. 2004.
16. T. Mudge. Power: A first class design constraint for future architectures. IEEE Computer, 34(4):52-58, Apr. 2001.
17. T. Pering, T. Burd, and R. Brodersen. Voltage scheduling in the lpARM microprocessor system. Proc. Int'l Symp. Low Power Electronics and Design (ISLPED 00), July 2000.
18. N. Pettis, L. Cai, and Y.-H. Lu. Dynamic power management for streaming data. Proc. Int'l Symp. Low Power Electronics and Design (ISLPED 04), Aug. 2004.
19. P. Pillai and K. Shin. Real-time dynamic voltage scaling for low-power embedded operating systems. Proc. 18th Symp. Operating Systems Principles (SOSP 01), Oct. 2001.
20. J. Pouwelse, K. Langendoen, and H. Sips. Dynamic voltage scaling on a low-power microprocessor. Proc. 7th Int'l Conf. Mobile Computing and Networking (MobiCom 01), July 2001.
21. D. Reed. High-end computing: The challenge of scale. Director's Colloquium, Los Alamos National Laboratory, May 2004.
22. J. Seng and D. Tullsen. The effect of compiler optimizations on Pentium 4 power consumption. Proc. 7th Workshop Interaction between Compilers and Computer Architectures (INTERACT-9), Feb. 2003.
23. Y. Shin, K. Choi, and T. Sakurai. Power optimization of real-time embedded systems on variable speed processors. Proc. Int'l Conf. Computer-Aided Design (ICCAD 00), Nov. 2000.
24. T. Simunic, L. Benini, and G. Micheli. Dynamic power management of portable systems. Proc. 6th Int'l Conf. Mobile Computing and Networking (MobiCom 00), Aug. 2000.
25. A. Varma, B. Ganesh, M. Sen, S. Choudhary, L. Srinivasan, and B. Jacob. A control-theoretic approach to dynamic voltage scaling. Proc. Int'l Conf. Compilers, Architectures, and Synthesis for Embedded Systems (CASES 03), Oct. 2003.
26. M. Weiser, B. Welch, A. Demers, and S. Shenker. Scheduling for reduced CPU energy. Proc. 1st Symp. Operating Systems Design and Implementation (OSDI 94), Nov. 1994.
27. R. Xu, C. Xi, R. Melhem, and D. Mossé. Practical PACE for embedded systems. Proc. 4th Int'l Conf. Embedded Software (EMSOFT 04), Sept. 2004.
28. H. Zeng, X. Fan, C. Ellis, A. Lebeck, and A. Vahdat. ECOSystem: Managing energy as a first class operating system resource. Proc. 10th Int'l Conf. Architectural Support for Programming Languages and Operating Systems (ASPLOS-X), Oct. 2002.