SoftPower: Fine-grain power estimations using performance counters

HPDC 2010 - Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing

Volumn , Issue , 2010, Pages 308-311

  Lim, Min Yeol ^a   Porterfield, Allan ^a   Fowler, Robert ^a  

^a RENCI   (United States)

Author keywords

Performance counters; Power estimation

Indexed keywords

BUILDING SYSTEMS; CPU POWER; DATA COLLECTION; DESIGN AND OPERATIONS; DYNAMIC CONTROLS; DYNAMIC POWER CONTROL; ESTIMATION ERRORS; GENERAL APPROACH; HARDWARE COUNTERS; HARDWARE PERFORMANCE COUNTERS; INSTRUMENT SYSTEMS; LARGE DATA; PERFORMANCE COUNTERS; POWER CONSUMPTION; POWER ESTIMATIONS; POWER MONITOR; POWER MONITORING; SAMPLING PERIOD; SCIENTIFIC COMPUTING; SURROGATE MODEL; TIME-SCALES;

DATA ACQUISITION; ESTIMATION; FREQUENCY ESTIMATION; FUEL ADDITIVES; INSTRUMENTS;

COMPUTER HARDWARE;

EID: 78650033616     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1851476.1851517     Document Type: Conference Paper

References (19)

1. D. Bailey, J. Barton, T. Lasinski, and H. Simon. The NAS parallel benchmarks. RNR-91-002, NASA Ames Research Center, August 1991.
2. D. Bedard, M. Lim, R. Fowler, and A. Porterfield. Powermon: Fine-grained and integrated power monitoring for commodity computer systems. In IEEE SoutheastCon conference. IEEE, 2010.
3. K. Cameron, R. Ge, and X. Feng. High-performance, power-aware distributed computing for scientific applications. Computer, 38(11):40-47, 2005.
4. K. Cameron, R. Ge, and X. Feng. Designing Computational Clusters for Performance and Power. Advances in Computers, 69(2), May 2007.
5. M. Curtis-Maury, A. Shah, F. Blagojevic, D. Nikolopoulos, B. de Supinski, and M. Schulz. Prediction models for multi-dimensional power-performance optimization on many cores. In PACT '08: Proceedings of the 17th international conference on Parallel architectures and compilation techniques, Toronto, Ontario, Canada, 2008.
6. N.R. Draper and H. Smith. Applied Regression Analysis. Wiley-Interscience, 1998.
7. X. Fan, W. Weber, and L. A. Barroso. Power provisioning for a warehouse-sized computer. In ISCA '07: Proceedings of the 34th annual international symposium on Computer architecture, San Diego, California, USA, 2007.
8. W. Feng, X. Feng, and R. Ge. Green Supercomputing Comes of Age. IT Professional, 10(1), January 2008.
9. Peter J Huber. Robust statistics, 1981.
10. Intel. Intel turbo boost technology in intel core microarchitecture (Nehalem) based processors. 2008.
11. B. Lee and D. Brooks. Accurate and efficient regression modeling for microarchitectural performance and power prediction. SIGOPS Oper. Syst. Rev., 40(5):185-194, 2006.
12. M. Y. Lim. Improving Power and Performance Efficiency in Parallel and Distributed Computing Systems. PhD thesis, North Carolina State University, 2009.
13. M. Y. Lim, V. Freeh, and D. Lowenthal. Adaptive, transparent frequency and voltage scaling of communication phases in MPI programs. In SC '06: Proceedings of the 2006 ACM/IEEE conference on Supercomputing, Tampa, FL, USA, 2006.
14. The R Project for Statistical Computing. http://www.r-project.org/.
15. Perfmon2: the hardware-based performance monitoring interface. http://perfmon2.sourceforge.net/.
16. B. Rountree, D. Lownenthal, B. de Supinski, M. Schulz, V. Freeh, and T. Bletsch. Adagio: making DVS practical for complex HPC applications. In ICS '09: Proceedings of the 23rd international conference on Supercomputing, Yorktown Heights, NY, USA, 2009.
17. K. Singh, M. Bhadauria, and S. A. McKee. Real time power estimation and thread scheduling via performance counters. SIGARCH Comput. Archit. News, 37(2):46-55, 2009.
18. C. Spearman. The proof and measurement of association between two things. Amer. J. Psychol, 15, 1974.
19. Z. Wang, C. McCarthy, X. Zhu, P. Ranganathan, and V. Talwar. Feedback control algorithms for power management of servers. Technical report, Hewlett-Packard Laboratories, 2008.