Approach towards an energy-aware and energy-efficient high performance computing environment

Proceedings - 2011 IEEE 7th International Conference on Intelligent Computer Communication and Processing, ICCP 2011

Volumn , Issue , 2011, Pages 493-499

  Kipp, Alexander ^a   Liu, Jia ^a   Jiang, Tao ^a   Khabi, Dmitry ^a   Kovalenko, Yevgeniya ^a   Schubert, Lutz ^a   Vor Dem Berge, Micha ^b   Christmann, Wolfgang ^b  

^a UNIVERSITY OF STUTTGART   (Germany)

^b Christmann Informationstechnik + Medien GmbH   (Germany)

Author keywords

Energy Efficiency; High Performance Computing; Resource Management; Resource Monitoring

Indexed keywords

ACTIVE MANAGEMENT; DATA CENTRES; ENERGY AWARE; ENERGY EFFICIENT; ENTIRE SYSTEM; ENVIRONMENTAL CONCERNS; HIGH PERFORMANCE COMPUTING; ICT SERVICES; IT SERVICES; IT SYSTEM; OPEN SOURCES; RESOURCE MANAGEMENT; RESOURCE MONITORING;

CARBON DIOXIDE; COMPUTER SOFTWARE SELECTION AND EVALUATION; ENERGY UTILIZATION; INFORMATION TECHNOLOGY;

ENERGY EFFICIENCY;

EID: 80755159264     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCP.2011.6047921     Document Type: Conference Paper

References (28)

1. Fanara A, Haines E, Howard A. The State of Energy and Performance Benchmarking for Enterprise Servers. In: First TPC Technology Conference, TPCTC 2009. Lyon; 2009.
2. GAMES Project - Deliverable D 5.3 "Energy Sensing and Monitoring Infrastructure Early Prototype", October 2010
3. GAMES project website: http://www.green-datacenters.eu/
4. Gómez M, Perales D, Tones EJ. An Energy-Aware Design and Reporting Tool for On-Demand Service Infrastructures. Components. 2009:209-216.
5. Gruber R, Keller V. HPC@Green IT: Green High performance computing methods. 1st ed. Berlin: Springer; 2010:215.
6. Huang S, Feng W. Energy-Efficient Cluster Computing via Accurate Workload Characterization. 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid. 2009:68-75. Available at: http://ieeexplore.ieee.org/ lpdocs/epic03/wrapper.htm?arnumber=5071856 [Accessed November 26, 2010].
7. Intel® 64 and IA-32 Architectures Software Developer's Manual Volume 3B: System Programming Guide, Part 2. Available at: http://www.intel.com/ products/processor/manuals/
8. Kipp A, Schubert L, Liu J, et al. Energy Consumption Optimisation in HPC Service Centres. In: Proceedings of the Second International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering. Ajaccio, Corsica, France; 2011:1-16.
9. Kipp A. GAMES - Green Active Management of Energy in IT Service centres. inSiDE (Innovatives Supercomputing in Deutschland). 2010:40-43. Available at: http://inside.hlrs.de/pdfs/inSiDE-autumn2010.pdf.
10. Kipp A., Jiang T, Fugini M. Green Metrics for energy-aware IT systems. In Proceedings of the Fifth International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS).In Press. Seoul, Korea, 2011
11. Kluge F, Uhrig S, Mische J, Satzger B, Ungerer T. Optimisation of Energy Consumption of Soft Real-Time Applications by Workload Prediction. In: 2010 13th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops. IEEE; 2010:63-72. Available at: http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=5479524 [Accessed November 10, 2010].
12. Liu, J. The Need for a Global CO2 Lifecycle Model in IT Service Centers. In: Proceedings of the Second International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering. Ajaccio, Corsica, France; 2011:1-16.
13. Nagios plugin API. Available under: http://nagios.sourceforge.net/docs/3- 0/pluginapi.html
14. Poess M, Nambiar RO, Vaid K. Energy Benchmarks: A Detailed Analysis. In: E-Energy 2010. Passau; 2010.
15. ASIL Project website: http://www.asil-project.org/
16. by Susan L. Graham Peter B. Kessler Marshall K. McKusick, gprof: a Call Graph Execution Profiler. Available at: http://docs.freebsd.org/44doc/psd/18. gprof/paper.pdf
17. VampirTrace User Manual. Available at: http://www.tudresden.de/zih/ vampirtrace, Cited Nov 2009
18. CrayPAT Using Cray Performance Analysis Tools. Available at: http://docs.cray.com, Cited Sep 2009
19. Intel® VTune™ Performance Analyzer Documentation. Available at: http://software.intel.com/en-us/articles/intel-vtune-performance-analyzer-for- linux-documentation/
20. Information about the scaling abilities of Nagios: http://nagioswiki.com/ wiki/index.php/Scaling-Nagios
21. Nagios Tuning Tips: http://nagios.sourceforge.net/docs/3-0/tuning.html
22. http://nagios.sourceforge.net/docs/3-0/distributed.html
23. Taina M. Data Center Monitoring using Nagios. 2011. Available at: https://publications.theseus.fi/bitstream/handle/10024/29969/ uusipohja-inssityo-mattit-2011.pdf?sequence=1
24. Mani K., Jee B. On the Edge: A Comprehensive Guide to Blade Server Technology. John Wiley and Sons, 2007.
25. HP website about Intelligent Power Discovery. http://h18004.www1.hp.com/ products/servers/rackandpower/powersupplies/ipd/overview.html
26. http://www.christmanntechnologies.com/index.php?s=2000&pc=4&p= 11&lang=en
27. NDOUtils. Details available at http://exchange.nagios.org/directory/ Addons/Database-Backends/NDOUtils/details
28. Sally A. McKee. 2004. Reflections on the memory wall. In Proceedings of the 1st conference on Computing frontiers (CF '04). ACM, New York, NY, USA.