Power-aware predictive models of hybrid (MPI/OpenMP) scientific applications on multicore systems

Computer Science - Research and Development

Volumn 27, Issue 4, 2012, Pages 245-253

  Lively, Charles ^a   Wu, Xingfu ^a   Taylor, Valerie ^a   Moore, Shirley ^b   Chang, Hung Ching ^c   Su, Chun Yi ^c   Cameron, Kirk ^c  

^a TEXAS A AND M UNIVERSITY   (United States)

^b UNIVERSITY OF TENNESSEE   (United States)

^c VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

Author keywords

Modeling; Multicore systems; Performance analysis; Performance prediction; Power consumption; Power prediction

Indexed keywords

MULTI-CORE SYSTEMS; MULTI-ZONE BENCHMARKS; PERFORMANCE ANALYSIS; PERFORMANCE CHARACTERISTICS; PERFORMANCE COUNTERS; PERFORMANCE PREDICTION; POWER PREDICTIONS; SCIENTIFIC APPLICATIONS;

ELECTRIC POWER UTILIZATION; MODELS;

BENCHMARKING;

EID: 84868123714     PISSN: 18652034     EISSN: 18652042     Source Type: Journal    
DOI: 10.1007/s00450-011-0190-0     Document Type: Article

References (28)

1. Bair E et al. (2006) Prediction by supervised principal components. J Am Stat Assoc 103:119-137
2. Bellosa F (2000) The benefits of event-driven energy accounting in power-sensitive systems. In: ACM SIGOPS Euro workshop, September 2000
3. Lloyd Bircher W, John LK (2007) Complete system power estimation: a trickle-down approach based on performance events. In: Proc of ISPASS'2007, pp 158-168
4. Lloyd Bircher W et al. (2005) Runtime identification of microprocessor energy saving opportunities. In: Proc of the int sym on low power elec and design, August 2005
5. Cao Z, Easterling DR, Watson LT, Lia D, Cameron KW, Feng W-C (2010) Power saving experiments for large-scale global optimisation. The Int J Parallel Emergent Distributed Syst 25(5):381-400
6. Curtis-Maury M et al. (2006) Online power-performance adaptation of multithreaded programs using hardware event-based prediction. In: ICS06
7. Curtis-Maury M et al. (2008) Prediction-based power-performance adaptation of multithreaded scientific codes. In: TPDS, vol 19, p 10
8. Freeh V et al. (2008) Just-in-time dynamic voltage scaling: exploiting inter-node slack to save energy in MPI programs. J Parallel Distributed Comput 68(9) 1175-1185
9. Freeh V, Pan F, Lowenthal D, Kappiah N (2005) Using multiple energy gears in MPI programs on a power-scalable cluster. In: PPOPP05
10. Hsu C-H, Feng W-C (2005) A power-aware run-time system for high-performance computing. In: IEEE/ACM supercomputing 2005 (SC05), November 2005
11. Ge R et al. (2010) PowerPack: energy profiling and analysis of high-performance systems and applications. IEEE Trans Parallel Distributed Syst 21(5):658-671
12. Jin H et al. (2004) Performance characteristics of the multi-zone NAS parallel benchmarks. In: IPDPS
13. Lee K, Skadron K (2005) Using performance counters for runtime temperature sensing in high performance processors. In: HPPAC05, April 2005
14. Li D et al. (2010) Hybrid MPI/OpenMP power-aware computing. In: IPDPS2010, Atlanta, Georgia, April 2010
15. Li T et al. (2003) Run-time modeling and estimation of operating system power consumption. In: Sigmetrics2003
16. Lively C, Taylor V et al. (2008) A methodology for developing high fidelity communication models on multicore systems. In: SBAC-PAD, pp 55-62
17. Multicore application modeling infrastructure (MuMI) project. http://www.mumi-tool.org
18. Kogge PM (2008) ExaScale computing study: technology challenges in achieving exascale systems. Tech report TR-2008-13, Univ of Notre Dame, CSE Dept, Sept 28, 2008
19. Performance application programming interface, papi. http://icl.cs.utk. edu/papi/
20. Lim M, Porterfield A, Fowler R (2010) SoftPower: fine-grain power estimations using performance counters. In: HPDC'10, New York, NY
21. Rountree B et al. (2009) Adagio: making DVS practical for complex HPC applications. In: ICS09, NY
22. Singh K, Bhadhauria M, McKee SA (2008) Real time power estimation and thread scheduling via performance counters. In: Proc of workshop on design, architecture, and simulation of chip multi-processors, November 2008
23. Song S et al. (2003) Energy profiling and analysis of the HPC challenge benchmarks. Int J High Perform Comput Appl 23(3):265-276
24. Song S et al. (2011) Iso-energy-efficiency: an approach to power-constrained parallel computation. In: IPDPS
25. Taylor V, Wu X, Stevens R (2003) Prophesy: an infrastructure for performance analysis and modeling system of parallel and grid applications. ACM SIGMETRICS Perf Eval Rev 30(4):13-18
26. Wu X, Taylor V et al. (2006) Performance analysis, modeling and prediction of a parallel multiblock lattice Boltzmann application using prophesy system. In: ICCC06
27. Wu X, Taylor V, Lively C et al. (2009) Performance analysis and optimization of parallel scientific applications on CMP clusters. Scal Comput Pract Exp 10(1):188-195
28. Wu X, Taylor V (2011) Performance characteristics of hybrid MPI/OpenMP implementations of NAS parallel benchmarks SP and BT on large-scale multicore supercomputers. In: ACM SIGMETRICS Perf Evaluation Rev, vol 38, Issue 4, 2011 56-62