Hybrid MPI/OpenMP power-aware computing

Proceedings of the 2010 IEEE International Symposium on Parallel and Distributed Processing, IPDPS 2010

Volumn , Issue , 2010, Pages

  Lit, Dong ^a   De Supinski, Bronis R ^b   Schulz, Martin ^b   Cameron, Kirk ^a   Nikolopoulos, Dimitrios S ^c  

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

^b LAWRENCE LIVERMORE NATIONAL LABORATORY   (United States)

^c INSTITUTE OF COMPUTER SCIENCE   (Greece)

Author keywords

MPI; OpenMP; Performance modeling; Power aware high performance computing

Indexed keywords

HIGH-PERFORMANCE COMPUTING; HYBRID MODEL; HYBRID PROGRAMMING MODEL; LARGE-SCALE DISTRIBUTED SYSTEM; MULTI CORE; NOVEL ALGORITHM; ON DYNAMICS; PARALLEL PROGRAM; PERFORMANCE GAIN; PERFORMANCE LOSS; PERFORMANCE MODELING; PERFORMANCE PREDICTION; POWER EFFICIENT; POWER-AWARE; POWER-AWARE COMPUTING; PROGRAMMING MODELS; REALISTIC APPLICATIONS; SUBSTANTIAL ENERGY;

BENCHMARKING; DISTRIBUTED PARAMETER NETWORKS; ENERGY CONSERVATION; MATHEMATICAL MODELS; MODEL CHECKING; PARALLEL ARCHITECTURES;

ALGORITHMS;

EID: 77953990600     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IPDPS.2010.5470463     Document Type: Conference Paper

References (23)

1. V. Freeh and D. Lowenthal, "Using Multiple Energy Gears in MPI Programs on a Power-Scalable Cluster," in Proceedings of the Eleventh ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP), 2007.
2. R. Ge, X. Feng, and K. W. Cameron, "Performance- Constrained Distributed DVS Scheduling for Scientific Applications on Power-Aware Clusters," in SC '05: Proceedings of the 2005 ACM/IEEE Conference on Supercomputing, 2005.
3. B. Rountree, D. Lowenthal, S. Funk, V. Freeh, B. R. de Supinski, and M. Schulz, "Bounding Energy Consumption in Large-Scale MPI Programs," in SC '07: Proceedings of the 2007 ACM/IEEE Conference on Supercomputing, 2007.
4. R. Springer, D. Lowenthal, B. Rountree, and V. Freeh, "Minimizing Execution Time in MPI Programs on an Energy-Constrained, Power-Scalable Cluster," in Proceedings of the Eleventh ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP), 2006.
5. A. Miyoshi, C. Lefurgy, E. Hensbergen, R. Rajamony, and R. Rajkumar, "Critical Power Slope: Understanding the Runtime Effects of Frequency Scaling," in Proc. of the International Conference on Supercomputing (ICS), 2002.
6. C.-H. Hsu and W.-C. Feng, "A Power-Aware Run-Time System for High-Performance Computing," in SC 05: Proceedings of the 2005 ACM/IEEE Conference on Supercomputing,2005.
7. C. Isci and M. Martonosi, "Runtime Power Monitoring in High-End Processors: Methodology and Empirical Data," in Proc. of the Annual International Symposium on Microarchitecture,2003.
8. N. Kappiah, V. Freeh, and D. Lowenthal, "Just In Time Dynamic Voltage Scaling: Exploiting Inter-Node Slack to Save Energy in MPI Programs," in Proceedings of the 2005 ACM/IEEE Conference on Supercomputing, 2005.
9. M. Curtis-Maury, J. Dzierwa, C. D. Antonopoulos, and D. S. Nikolopoulos, "Online Power-Performance Adaptation of Multithreaded Programs using Event- Based Prediction," in Proc. of the 20th ACM International Conference on Supercomputing (ICS),2006.
10. M. A. Suleman, M. K. Qureshi, and Y. N. Patt, "Feedback-Driven Threading: Power-Efficient and High-Performance Execution of Multi-Threaded Workloads on CMPs," in Proceedings of the 13th International Conference on Architectural Support for Programming Languages and Operating Systems (ASP- LOS), 2008.
11. M. Curtis-Maury, F. Blagojevic, C. D. Antonopoulos, and D. S. Nikolopoulos, "Prediction-Based Power- Performance Adaptation of Multithreaded Scientific Codes," IEEE Transactions on Parallel and Distributed Systems (TPDS), 2008.
12. W. D. Gropp, "MPI and Hybrid Programming Models for Petascale Computing," in Proceedings of the 15th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface, 2008.
13. R. Rabenseifner and G. Wellein, "Communication and Optimization Aspects of Parallel Programming Models on Hybrid Architectures," Int.J.High Perform. Comput. Appl., vol.17, 2003.
14. T.Mudge, "Power: A First-Class Architectural Design Constraint," IEEE Computer, vol.34, no.4, 2001.
15. T. Horvath and K. Skadron, "Multi-Mode Energy Management for Multi-Tier Server Clusters," in Proc. of the 17th International Conference on Parallel Architectures and Compilation Techniques (PACT), 2008.
16. M. Curtis-Maury, A. Shah, F. Blagojevic, D. S. Nikolopoulos, B. R. de Supinski, and M. Schulz, "Prediction Models for Multi-dimensional Power- Performance Optimization on Many Cores," in Proc. of the 17th International Conference on Parallel Architectures and Compilation Techniques (PACT), 2008.
17. W. Gropp and E. Lusk, "Reproducible Measurements of MPI Performance Characteristics," in Proceedings of the 6th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface, 1999.
18. M. Silvano and P. Toth, Knapsack Problems: Algorithms and Computer Implementations. John Wiley and Sons, 1990.
19. B. Mohr, A. D. Malony, S. Shende, and F. Wolf, "Design and Prototype of a Performance Tool Interface for OpenMP," in Proceedings of LACSI 2001, 2001.
20. H. Jin and R. Van der Wijingaart, "Performance Characteristics of the Multi-Zone NAS Parallel Benchmarks," in Proc. of the International Parallel and Distributed Processing Symposium (IPDPS), 2004.
21. V. E. Henson and U. M. Yang, "BoomerAMG: A Parallel Algebraic Multigrid Solver and Preconditioner," Applied Numerical Mathematics, vol.41, 2000.
22. B. Rountree, D. K. Lownenthal, B. R. de Supinski, M. Schulz, V. W. Freeh, and T. Bletsch, "Adagio: Making DVS Practical for Complex HPC Applications," in Proceedings of the 23rd International Conference on Supercomputing, 2009.
23. A. Merkel and F. Bellosa, "Task Activity Vectors: A New Metric for Temperature-Aware Scheduling," in Third ACM SIGOPS EuroSys Conference, 2008.