Enabling accurate power profiling of HPC applications on exascale systems

Proceedings of the 3rd International Workshop on Runtime and Operating Systems for Supercomputers, ROSS 2013 - In Conjunction with ICS 2013

Volumn , Issue , 2013, Pages

  Kestor, Gokcen ^a   Gioiosa, Roberto ^a   Kerbyson, Darren J ^a   Hoisie, Adolfy ^a  

^a PACIFIC NORTHWEST NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EXASCALE COMPUTING; HARDWARE SENSORS; PARALLEL SCIENTIFIC APPLICATIONS; POWER CHARACTERISTIC; RUN-TIME LIBRARY; SOFTWARE ALGORITHMS; SYSTEM RESOURCES; SYSTEM SOFTWARES;

BENCHMARKING; REGRESSION ANALYSIS; SENSORS; SUPERCOMPUTERS;

INTELLIGENT CONTROL;

EID: 84879811374     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2481425.2481429     Document Type: Conference Paper

References (20)

1. C. Inc. Chapel programming language. Cray inc. http://chapel.cray.com/.
2. Perf: A performance analysis tool in Linux. https://perf.wiki.kernel.org/ index.php/Tutorial.
3. Advanced Scientific Computing Research (ASCR). Center for exascale simulation of advanced reactors. https://cesar.mcs.anl.gov.
4. Advanced Scientific Computing Research (ASCR). Scientific discovery through advanced computing (SciDAC) Co-Design. http://science.energy.gov/ascr/ research/scidac/co-design/.
5. F. Bellosa. The benefits of event-driven energy accounting in power-sensitive systems. In Proceedings of the 9th workshop on ACM SIGOPS European workshop: beyond the PC: new challenges for the operating system, pages 37-42, 2000.
6. M. Butler, L. Barnes, D. D. Sarma, and B. Gelinas. Bulldozer: An approach to multithreaded compute performance. IEEE Micro, 31(2):6-15, Mar. 2011.
7. M. P. I. Forum. MPI: A message passing interface standard. International Journal of Supercomputer Applications, 8(3/4):159-416, 1994.
8. B. Goel, S. A. McKee, R. Gioiosa, K. Singh, M. Bhadauria, and M. Cesati. Portable, scalable, per-core power estimation for intelligent resource management. In Proceedings of the Int. Conference on Green Computing, pages 135-146, 2010.
9. Intel. Intel Energy Checker: Software Developer Kit User Guide, 2010.
10. C. Isci and M. Martonosi. Runtime power monitoring in high-end processors: Methodology and empirical data. In Proceedings of the 36th annual IEEE/ACM International Symposium on Microarchitecture, pages 93-, 2003.
11. R. Joseph and M. Martonosi. Run-time power estimation in high performance microprocessors. In Proceedings of the 2001 international symposium on Low power electronics and design, pages 135-140, 2001.
12. P. Kogge, K. Bergman, S. Borkar, D. Campbell, W. Carlson, W. Dally, M. Denneau, P. Franzon, W. Harrod, K. Hill, J. Hiller, S. Karp, S. Keckler, D. Klein, R. Lucas, M. Richards, A. Scarpelli, S. Scott, A. Snavely, T. Sterling, R. S. Williams, and K. A. Yelick. ExaScale computing study: Technology challenges in achieving exascale systems. Technical Report DARPA-2008-13, DARPA IPTO, September 2008.
13. NASA. NAS parallel benchmarks. http://www.nas.nasa.gov/Resources /Software/npb.html.
14. OpenMP Architecture Review Board. The OpenMP specification for parallel programming. Available at http://www.openmp.org.
15. K. Rajamani, F. Rawson, M. Ware, H. Hanson, J. Carter, T. Rosedahl, A. Geissler, G. Silva, and H. Hua. Power-performance management on an IBM POWER7 server. In Proceedings of the international symposium on Low power electronics and design, pages 201-206, 2010.
16. G. Rong, F. Xizhou, S. Shuaiwen, C. Hung-Ching, L. Dong, and K. Cameron. Powerpack: Energy profiling and analysis of high-performance systems and applications. IEEE Transactions on Parallel and Distributed Systems, 21(5):658 -671, 2010.
17. E. Rotem, A. Naveh, A. Ananthakrishnan, E. Weissmann, and D. Rajwan. Power-management architecture of the Intel microarchitecture code-named Sandy Bridge. IEEE Micro, 32(2):20-27, 2012.
18. 2P: The Linux energy attribution and accounting platform. Ms thesis, Swiss Federal Inst. of Technology, 2009.
19. A. T. Simplescalar 4.0 release note. http://www.simplescalar.com/.
20. V. Weaver, M. Johnson, K. Kasichayanula, J. Ralph, P. Luszczek, D. Terpstra, and S. Moore. Measuring energy and power with PAPI. In Proceedings of International Conference on Parallel Processing Workshops, pages 262 -268, 2012. Science, Department of Energy