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International Conference on High Performance Computing

ISC High Performance 2018: High Performance Computing pp 627–636Cite as

Using a Graph Visualization Tool for Parallel Program Dynamic Visualization and Communication Analysis

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11203))

Abstract

Parallel program visualization and performance analysis tools have a high cost of development. As a consequence, there are many of these tools that are proprietary what makes difficult their adoption by the general community. This work introduces the use of general purpose open software for visualization and characterization of parallel programs. In particular, the use of an open graph visualization tool is presented as a case study for the dynamic communication characterization of a NAS parallel benchmark. The results show that a general purpose open graph tool could be used to analyze some important aspects related to the communication of parallel message passing programs.

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References

  1. Lee, C.W., Mendes, C.L., Kalé, L.V.: Towards scalable performance analysis and visualization through data reduction. In: 2008 IEEE International Symposium on Parallel and Distributed Processing, pp. 1–8 (2008)

    Google Scholar 

  2. Zamani, R., Afsahi, A.: Communication characteristics of message-passing scientific and engineering applications. In: Zheng, S.Q. (ed.) Proceedings of IASTED PDCS, Phoenix, AZ, USA, pp. 644–649. IASTED/ACTA Press, November 2005

    Google Scholar 

  3. Snir, M., Otto, S., Huss-Lederman, S., Walker, D., Dongarra, J.: The MPI Core. MPI-The Complete Reference, vol. 1, 2nd edn. MIT Press, Cambridge (1998)

    Google Scholar 

  4. Mercier, G., Clet-Ortega, J.: Towards an efficient process placement policy for MPI applications in multicore environments. In: Ropo, M., Westerholm, J., Dongarra, J. (eds.) EuroPVM/MPI 2009. LNCS, vol. 5759, pp. 104–115. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-03770-2_17

    Chapter  Google Scholar 

  5. Huck, K.A., Potter, K., Jacobsen, D.W., Childs, H., Malony, A.D.: Linking performance data into scientific visualization tools. In: Proceedings of the First Workshop on Visual Performance Analysis, ser. VPA 2014, Piscataway, NJ, USA, pp. 50–57. IEEE Press (2014)

    Google Scholar 

  6. Bastian, M., Heymann, S., Jacomy, M.: Gephi: an open source software for exploring and manipulating networks. In: Proceedings of International AAAI Conference on Weblogs and Social Media, San Jose, CA, USA, May 2009

    Google Scholar 

  7. Trahay, F., Rué, F., Faverge, M., Ishikawa, Y., Namyst, R., Dongarra, J.: EZTrace: a generic framework for performance analysis. In: Proceedings of CCGRID. IEEE, Newport Beach, May 2011

    Google Scholar 

  8. Stringhini, D., Fazenda, A.: Characterizing communication patterns of parallel programs through graph visualization and analysis. In: Hunold, S., et al. (eds.) Euro-Par 2015. LNCS, vol. 9523, pp. 565–576. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-27308-2_46

    Chapter  Google Scholar 

  9. Knüpfer, A., et al.: The vampir performance analysis tool-set. In: Resch, M., Keller, R., Himmler, V., Krammer, B., Schulz, A. (eds.) Parallel Tools Workshop, pp. 139–155. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-68564-7_9

    Chapter  Google Scholar 

  10. Schmitt, F., Dietrich, R., Kuß, R., Doleschal, J., Knüpfer, A.: Visualization of performance data for MPI applications using circular hierarchies. In: Proceedings of the First Workshop on Visual Performance Analysis, VPA 2014, New Orleans, Louisiana, USA, pp. 1–8, 16–21 November 2014. https://doi.org/10.1109/VPA.2014.5

  11. Wu, J., Zeng, J., Yu, H., Kenny, J.P.: Commgram: A new visual analytics tool for large communication trace data. In: Proceedings of the First Workshop on Visual Performance Analysis, VPA 2014. Piscataway, NJ, USA, pp. 28–35. IEEE Press (2014). https://doi.org/10.1109/VPA.2014.8

  12. Pillet, V., Labarta, J., Cortes, T., Girona, S.: PARAVER: A tool to visualize and analyze parallel code. In: Proceedings of WoTUG-18: Transputer and Occam Developments, vol. 44, no. 1, pp. 17–31. IOS Press (1995)

    Google Scholar 

  13. PARAVER: a flexible performance analysis tool. https://tools.bsc.es/paraver

  14. Han, J., Kamber, M.: Data Mining: Concepts and Techniques. Morgan Kaufmann Publishers Inc., San Francisco (2000)

    MATH  Google Scholar 

  15. de Kergommeaux, J.C., de Oliveira Stein, B.: Pajé: an extensible environment for visualizing multi-threaded programs executions. In: Bode, A., Ludwig, T., Karl, W., Wismüller, R. (eds.) Euro-Par 2000. LNCS, vol. 1900, pp. 133–140. Springer, Heidelberg (2000). https://doi.org/10.1007/3-540-44520-X_17. http://dl.acm.org/citation.cfm?id=646665.699423

    Chapter  Google Scholar 

  16. The Gephi website. http://www.gephi.org/

  17. Hu, Y.F.: Efficient and high quality force-directed graph drawing. Mathematica J. 10(1), 37–71 (2005)

    MathSciNet  Google Scholar 

  18. Baily, D., et al.: The NAS parallel benchmarks. RNR-94-007.pdf, March 1994. http://www.nas.nasa.gov/assets/pdf/techreports/1994/

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Author information

Authors and Affiliations

  1. Universidade Federal de Sao Paulo, Sao Paulo, Brazil

    Denise Stringhini, Pedro Spoljaric Gomes & Alvaro Fazenda

Authors
  1. Denise Stringhini
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  2. Pedro Spoljaric Gomes
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  3. Alvaro Fazenda
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Corresponding author

Correspondence to Denise Stringhini .

Editor information

Editors and Affiliations

  1. Tokyo Institute of Technology, Tokyo, Japan

    Rio Yokota

  2. University of Edinburgh, Edinburgh, UK

    Michèle Weiland

  3. Lawrence Berkeley National Laboratory, Berkeley, CA, USA

    John Shalf

  4. Swiss National Supercomputing Centre, Lugano, Switzerland

    Sadaf Alam

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Stringhini, D., Gomes, P.S., Fazenda, A. (2018). Using a Graph Visualization Tool for Parallel Program Dynamic Visualization and Communication Analysis. In: Yokota, R., Weiland, M., Shalf, J., Alam, S. (eds) High Performance Computing. ISC High Performance 2018. Lecture Notes in Computer Science(), vol 11203. Springer, Cham. https://doi.org/10.1007/978-3-030-02465-9_45

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  • DOI: https://doi.org/10.1007/978-3-030-02465-9_45

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-02464-2

  • Online ISBN: 978-3-030-02465-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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