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European Conference on Parallel Processing

Euro-Par 2011: Euro-Par 2011: Parallel Processing Workshops pp 198–207Cite as

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Enhancing Brainware Productivity through a Performance Tuning Workflow

Enhancing Brainware Productivity through a Performance Tuning Workflow

  • Christian Iwainsky30,
  • Ralph Altenfeld31,
  • Dieter an Mey30 &
  • …
  • Christian Bischof30 
  • Conference paper
  • 1095 Accesses

  • 1 Citations

Part of the Lecture Notes in Computer Science book series (LNTCS,volume 7156)

Abstract

Operation costs of high performance computers, like cooling and energy, drive HPC centers towards improving the efficient usage of their resources. Performance tuning through experts here is an indispensable ingredient to ensure efficient HPC operation. This ”brainware” component, in addition to software and hardware, is in fact crucial to ensure continued performance of codes in light of diversifying and changing hardware platforms. However, as tuning experts are a scarce and costly resource themselves, processes should be developed that ensure the quality of the performance tuning process. This is not to dampen human ingenuity, but to ensure that tuning effort time is limited to achieve a realistic substantial gain, and that code changes are accepted by users and made part of their code distribution. In this paper, we therefore formalize a service-based Performance Tuning Workflow to standardize the tuning process and to improve usage of tuning-expert time.

Keywords

  • Code Change
  • Tuning Process
  • Performance Tune
  • Improvement Report
  • Tuning Activity

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Bischof, C., an Mey, D., Iwainsky, C.: Brainware for Green HPC. In: Ludwig, T. (ed.) Proceedings EnA-HPC 2011 (2011) (to appear)

    Google Scholar 

  2. Behr, M., Arora, D., Benedict, N.A., O’Neill, J.J.: Intel compilers on linux clusters. Intel Developer Services online publication (October 2002)

    Google Scholar 

  3. Zeng, P., Sarholz, S., Iwainsky, C., Binninger, B., Peters, N., Herrmann, M.: Simulation of Primary Breakup for Diesel Spray with Phase Transition. In: Ropo, M., Westerholm, J., Dongarra, J. (eds.) PVM/MPI. LNCS, vol. 5759, pp. 313–320. Springer, Heidelberg (2009)

    CrossRef  Google Scholar 

  4. Altenfeld, R., Apel, M., an Mey, D., Böttger, B., Benke, S., Bischof, C.: Parallelising Computational Microstructure Simulations for Metallic Materials with OpenMP. In: Chapman, B.M., Gropp, W.D., Kumaran, K., Müller, M.S. (eds.) IWOMP 2011. LNCS, vol. 6665, pp. 1–11. Springer, Heidelberg (2011)

    CrossRef  Google Scholar 

  5. Geimer, M., Wolf, F., Wylie, B.J.N., Ábrahám, E., Becker, D., Mohr, B.: The Scalasca performance toolset architecture. Concurrency and Computation: Practice and Experience 22(6), 702–719 (2010)

    Google Scholar 

  6. Knüpfer, A., Brunst, H., Doleschal, J., Jurenz, M., Lieber, M., Mickler, H., Müller, M.S., Nagel, W.E.: The vampir performance analysis tool-set. In: Proceedings of the 2nd HLRS Parallel Tools Workshop, Stuttgart, Germany (July 2008)

    Google Scholar 

  7. Shende, S.S., Malony, A.D.: The tau parallel performance system. The International Journal of High Performance Computing Applications 20, 287–331 (2006)

    CrossRef  Google Scholar 

  8. GNU: gprof, http://sourceware.org/binutils/docs/gprof/

  9. Intel: Intel©parallel amplifier (2011) http://software.intel.com/en-us/articles/intel-parallel-amplifier/

  10. London, K., Moore, S., Mucci, P., Seymour, K., Luczak, R.: The papi cross-platform interface to hardware performance counters. In: Department of Defense Users Group Conference Proceedings, pp. 18–21 (2001)

    Google Scholar 

  11. Iwainsky, C., an Mey, D.: Comparing the Usability of Performance Analysis Tools. In: Cèsar, E., Alexander, M., Streit, A., Träff, J., Cèrin, C., Knüpfer, A., Kranzlmüller, D., Jha, S. (eds.) Euro-Par 2008 Workshops. LNCS, vol. 5415, pp. 315–325. Springer, Heidelberg (2009)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Center for Computing and Communication, RWTH Aachen University, Germany

    Christian Iwainsky, Dieter an Mey & Christian Bischof

  2. Access e.V., RWTH Aachen University, Germany

    Ralph Altenfeld

Authors
  1. Christian Iwainsky
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  2. Ralph Altenfeld
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  3. Dieter an Mey
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  4. Christian Bischof
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Editor information

Editors and Affiliations

  1. Scilytics, Koellnerhofgasse 3/15A, 1010, Vienna, Austria

    Michael Alexander

  2. ICAR-CNR, Via P. Castellino, 111, 80131, Napoli, Italy

    Pasqua D’Ambra

  3. University of Amsterdam, 1090, Amsterdam, Netherlands

    Adam Belloum

  4. Innovative Computing Laboratory, The University of Tennessee, US

    George Bosilca

  5. Department of Experimental Medicine and Clinic, University Magna Græcia, 88100, Catanzaro, Italy

    Mario Cannataro

  6. Computer Science Department, University of Pisa, Italy

    Marco Danelutto

  7. Second University of Naples, Italy

    Beniamino Di Martino

  8. TUMünchen,, Boltzmannstr. 3, ,, 85748, Garching, Germany

    Michael Gerndt

  9. Equipe Runtime, INRIA Bordeaux Sud-Ouest, 33405, Talence Cedex, France

    Emmanuel Jeannot & Raymond Namyst & 

  10. Equipe HIEPACS, INRIA Bordeaux Sud-Ouest, 33405, Talence Cedex, France

    Jean Roman

  11. Computer Science and Mathematics Division, Oak Ridge National Laboratory, 37831-6164, Oak Ridge, TN, USA

    Stephen L. Scott

  12. Department of Scientific Computing, University of Vienna, Nordbergstr. 15/3C, 1090, Vienna, Austria

    Jesper Larsson Traff

  13. Computer Science and Mathematics Division, Oak Ridge National Laboratory, 37831, Oak Ridge, TN, USA

    Geoffroy Vallée

  14. Technische Universität München, Germany

    Josef Weidendorfer

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Iwainsky, C., Altenfeld, R., Mey, D.a., Bischof, C. (2012). Enhancing Brainware Productivity through a Performance Tuning Workflow. In: Alexander, M., et al. Euro-Par 2011: Parallel Processing Workshops. Euro-Par 2011. Lecture Notes in Computer Science, vol 7156. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29740-3_23

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  • DOI: https://doi.org/10.1007/978-3-642-29740-3_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29739-7

  • Online ISBN: 978-3-642-29740-3

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