Emprical study on reducing energy of parallel programs using slack reclamation by DVFS in a power-scalable high performance cluster

Proceedings - IEEE International Conference on Cluster Computing, ICCC

Volumn , Issue , 2006, Pages

  Kimura, Hideaki ^a   Sato, Mitsuhisa ^a   Hotta, Yoshihiko ^a   Boku, Taisuke ^a   Takahashi, Daisuke ^a  

^a UNIVERSITY OF TSUKUBA   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

CHLORINE COMPOUNDS; CONSERVATION; EFFICIENCY; ELECTRIC LOAD FORECASTING; ELECTRIC POWER UTILIZATION; ENERGY POLICY; FORTRAN (PROGRAMMING LANGUAGE); HIGH PERFORMANCE LIQUID CHROMATOGRAPHY; MICROPROCESSOR CHIPS; MULTITASKING; PARALLEL ALGORITHMS; PARALLEL PROGRAMMING; SET THEORY;

BENCH-MARK PROBLEMS; CLUSTER COMPUTING; COMPUTATIONAL LOADS; DYNAMIC VOLTAGE AND FREQUENCY SCALING; EMPIRICAL STUDIES; ENERGY CONSUMPTION; ENERGY REDUCTIONS; HIGH-PERFORMANCE CLUSTER; HIGH-PERFORMANCE MICROPROCESSORS; INTERNATIONAL CONFERENCES; NEW ALGORITHM; OVERALL EXECUTION; PARALLEL PROGRAMS; PC CLUSTERING; POWER CONSUMPTION; POWER MONITORING; REAL TIME; REDUCING ENERGY; REDUCTION IN ENERGY CONSUMPTION; SLACK-TIME; TASK GRAPHS; TRANSMETA;

ENERGY EFFICIENCY;

EID: 46049087938     PISSN: 15525244     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CLUSTR.2006.311839     Document Type: Conference Paper

References (15)

1. David Brooks, Pradip Bose, Stanley Schuster, Hans M. Jacobson, Prabhakar Kudva, Alper Buyuktosunoglu, John-David Wellman, Victor V. Zyuban, Manish Gupta, and Peter W. Cook. Power-aware microarchitecture: Design and modeling challenges for next-generation microprocessors. IEEE Micro, 20(6):26-44, 2000.
2. Rong Ge, Xizhou Feng, and Kirk W. Cameron. Performance-constrained Distributed DVS Scheduling for Scientific Applications on Power-aware Clusters. In The International Conference for High Performance Computing, Networking and Storage (SC'05), 2005.
3. N. R. Adiga, George Almási, George S. Almasi, and et at al. An overview of the BlueGene/L Supercomputer. In International Conference on High Performance Networking and Computing (SC'02), 2002.
4. Michael S. Warren, Eric H. Weigle, and Wu-Chun Feng. High-density computing: a 240-processor Beowulf in one cubic meter. In International Conference on High Performance Networking and Computing (SC'02), 2002.
5. H.Nakashima, H.Nakamura, M.Sato, T.Boku, S.Matsuoka, D.Takahashi, and Y.Hotta. Megaproto: 1 tflops/10kw rack is feasible even with only commodity technology. In The International Conference for High Performance Computing, Networking and Storage (SC'05), November 2005.
6. Dakai Zhu, Rami G. Melhem, and Bruce R. Childers. Scheduling with Dynamic Voltage/Speed Adjustment Using Slack Reclamation in Multiprocessor Real-Time Systems. IEEE Trans. Parallel Distrib. Syst., 14(7):686-700, 2003.
7. Woonseok Kim, Jihong Kim, and Sang Lyul Min. A Dynamic Voltage Scaling Algorithm for Dynamic-Priority Hard Real-Time Systems Using Slack Time Analysis. In DATE, pages 788-794, 2002.
8. G. Chen, K. Malkowski, M. T. Kandemir, and P. Raghavan. Reducing Power with Performance Constraints for Parallel Sparse Applications. In High-Performance, Power-Aware Computing in International Parallel Distributed Processing Symposium, 2005.
9. Nandini Kappiah, Vincent W. Freeh, and David K. Lowenthal. Just In Time Dynamic Voltage Scaling: Exploiting Inter-Node Slack to Save Energy in MPI Programs. In The International Conference for High Performance Computing, Networking and Storage (SC'05), 2005.
10. Zhichun Zhu and Xiaodong Zhang. Look-ahead architecture adaptation to reduce processor power consumption. IEEE Micro, 25(4): 10-19, 2005.
11. AMD Athlon™64 processor power and thermal data sheet, 2005.
12. Crusoe LongRun Power Management White Paper. http://www.transmeta.com/ crusoe/longrun.html.
13. T. Sakurai and H. Sugiura. A projection method for generalized eigenvalue problems, j. Comput. Appl. Math, 159:119-128, 2003.
14. Rothberg E. and A. Gupta. An efficient block-oriented approach to parallel sparse Cholesky factorization. In Supercomputing '93, pages 503-512, 1993.
15. Stanford Parallel Applications for Shared Memory (SPLASH). http://www-flash.stanford.edu/apps/SPLASH/.