Simulation of power consumption of energy efficient cluster hardware

Timo Minartz1, Julian Kunkel2, Thomas Ludwig1
1Department of Informatics, University of Hamburg, 22527, Hamburg, Germany
2Deutsches Klimarechenzentrum GmbH, 20146, Hamburg, Germany

Tóm tắt

Từ khóa


Tài liệu tham khảo

Aebischer B, Huser A (2003) Energy efficiency of computer power supplies. In: EEDAL ’03: proceedings of the 3rd international conference on energy efficiency in domestic appliances and lighting

Agarwal Y, Hodges S, Chandra R, Scott J, Bahl P, Gupta R (2009) Somniloquy: augmenting network interfaces to reduce PC energy usage. In: NSDI’09: proceedings of the 6th USENIX symposium on networked systems design and implementation. USENIX Association, Berkeley, pp 365–380

Barroso LA, Hölzle U (2007) The case for energy-proportional computing. Computer 40(12):33–37. doi: 10.1109/MC.2007.443

Bircher W, John L (2007) Complete system power estimation: a trickle-down approach based on performance events. In: ISPASS ’07: proceedings of the 2007 IEEE international symposium on performance analysis of systems and software. IEEE Computer Society, Los Alamitos, pp 158–168

Contreras G, Martonosi M (2005) Power prediction for Intel xscale processors using performance monitoring unit events. In: ISLPED ’05: proceedings of the 2005 international symposium on low power electronics and design. ACM, New York, pp 221–226. doi: 10.1145/1077603.1077657

Corporation, HP, Corporation, I, Corporation, M, Ltd, PT, Corporation, T (2005) Advanced configuration and power interface specification

Etinski M, Corbalan J, Labarta J, Valero M, Veidenbaum A (2009) Power-aware load balancing of large scale MPI applications. In: IPDPS ’09: proceedings of the 2009 IEEE international symposium on parallel and distributed processing. IEEE Computer Society, Washington, pp 1–8. doi: 10.1109/IPDPS.2009.5160973

Feng X, Ge R, Cameron KW (2005) Power and energy profiling of scientific applications on distributed systems. In: IPDPS ’05: proceedings of the 19th IEEE international parallel and distributed processing symposium (IPDPS’05) papers. IEEE Computer Society, Washington, p 34. doi: 10.1109/IPDPS.2005.346

Freeh V, Pan F, Kappiah N, Lowenthal D, Springer R (2005) Exploring the energy-time tradeoff in MPI programs on a power-scalable cluster. In: IPDPS ’05: proceedings of parallel and distributed processing symposium. doi: 10.1109/IPDPS.2005.214

Freeh VW, Lowenthal DK (2005) Using multiple energy gears in MPI programs on a power-scalable cluster. In: PPoPP ’05: proceedings of the tenth ACM SIGPLAN symposium on principles and practice of parallel programming. ACM, New York, pp 164–173. doi: 10.1145/1065944.1065967

Ge R, Feng X, Cameron KW (2005) Improvement of power-performance efficiency for high-end computing. In: IPDPS ’05: proceedings of the 19th IEEE international parallel and distributed processing symposium. IEEE Computer Society, Washington, p 233. doi: 10.1109/IPDPS.2005.251

Ge R, Feng X, Cameron KW (2005) Performance-constrained distributed DVS scheduling for scientific applications on power-aware clusters. In: SC ’05: proceedings of the 2005 ACM/IEEE conference on supercomputing. IEEE Computer Society, Washington, p 34. doi: 10.1109/SC.2005.57

Hotta Y, Sato M, Kimura H, Matsuoka S, Boku T, Takahashi D (2006) Profile-based optimization of power performance by using dynamic voltage scaling on a PC cluster. In: IPDPS ’06: proceedings of the 20th international parallel and distributed processing symposium. doi: 10.1109/IPDPS.2006.1639597

Hsu Ch, Feng Wc (2005) A power-aware run-time system for high-performance computing. In: SC ’05: proceedings of the 2005 ACM/IEEE conference on supercomputing. IEEE Computer Society, Washington, p 1. doi: 10.1109/SC.2005.3

Huang S, Feng W (2009) Energy-efficient cluster computing via accurate workload characterization. In: CCGRID ’09: proceedings of the 2009 9th IEEE/ACM international symposium on cluster computing and the grid. IEEE Computer Society, Washington, pp 68–75. doi: 10.1109/CCGRID.2009.88

Hylick A, Sohan R, Rice A, Jones B (2008) An analysis of hard drive energy consumption. In: MASCOTS 2008: IEEE international symposium on modeling, analysis and simulation of computers and telecommunication systems, pp 1–10. doi: 10.1109/MASCOT.2008.4770567

Intel MTP (2006) Intel Core2 duo mobile processor for Intel centrino duo mobile processor technology datasheet

Kappiah N, Freeh VW, Lowenthal DK (2005) Just in time dynamic voltage scaling: exploiting inter-node slack to save energy in MPI programs. In: SC ’05: proceedings of the 2005 ACM/IEEE conference on supercomputing. IEEE Computer Society, Washington, p 33. doi: 10.1109/SC.2005.39

Krempel S, Kunkel J, Ludwig T (2009) Design and implementation of a profiling environment for trace based analysis of energy efficiency benchmarks in high performance computing. Master’s thesis, Institute of Computer Science, University of Heidelberg

Lim MY, Freeh VW, Lowenthal DK (2006) Adaptive, transparent frequency and voltage scaling of communication phases in MPI programs. In: SC ’06: proceedings of the 2006 ACM/IEEE conference on supercomputing. ACM, New York, p 107. doi: 10.1145/1188455.1188567

Lu YH, Benini L, De Micheli G (2000) Operating-system directed power reduction. In: ISLPED ’00: proceedings of the 2000 international symposium on low power electronics and design. ACM, New York, pp 37–42. doi: 10.1145/344166.344189

Minartz T, Kunkel J, Ludwig T (2009) Model and simulation of power consumption and power saving potential of energy efficient cluster hardware. Master’s thesis, Institute of Computer Science, University of Heidelberg

Moona PR, Chole S, Harneja S (2007) Memory management using dynamic memory switching. Project report, Department of Computer Science and Engineering, Indian Institute of Technology Kanpur

Pinheiro E, Bianchini R, Carrera E, Heath T (2001) Load balancing and unbalancing for power and performance in cluster-based systems. In: COLP ’01: workshop on compilers and operating systems for low power

Rountree B, Lowenthal DK, Funk S, Freeh VW, de Supinski BR, Schulz M (2007) Bounding energy consumption in large-scale MPI programs. In: SC ’07: proceedings of the 2007 ACM/IEEE conference on supercomputing. ACM, New York, pp 1–9. doi: 10.1145/1362622.1362688

Vasudevan V, Franklin J, Andersen D, Phanishayee A, Tan L, Kaminsky M, Moraru I (2009) FAWNdamentally power-efficient clusters. In: HotOS XII: 12th workshop on hot topics in operating systems