Distributed Configurable Application Monitoring on SMP Clusters

  • Karl Fürlinger
  • Michael Gerndt
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2840)


Performance analysis of applications on large clusters of SMPs requires a monitoring approach that supports tools realizing concepts like automation, distribution and on-line operations. Key goals are a minimization of the perturbation of the target application and flexibility and efficiency with respect to data pre-processing and filtering. To achieve these goals, our approach separates the monitor into a passive monitoring library linked to the application and an active ‘runtime information producer’ (RIP) which handles monitoring requests and performs pre-processing (e.g., aggregation) of performance data for individual cluster nodes. A directory service can be queried to discover which RIPs handle which nodes.


Address Space Target Application Application Monitoring Monitoring Approach Remote Node 
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  1. 1.
    Balis, B., Bubak, M., Funika, W., Szepieniec, T., Wismller, R.: Monitoring of Interactive Grid Applications. In: To appear in Proceedings of Dagstuhl Seminar 02341 on Performance Analysis and Distributed Computing, Kluwer Academic Publishers, Dordrecht (2003)Google Scholar
  2. 2.
    Mohr, B., Malony, A.D., Shende, S., Wolf, F.: Towards a Performance Tool Interface for OpenMP: An Approach Based on Directive Rewriting. In: EWOMP 2001 Third European Workshop on OpenMP (September 2001)Google Scholar
  3. 3.
    The Top 500 Supercomputer Sites,
  4. 4.
    Gerndt, M., Frlinger, K.: Towards Automatic Performance Analysis for Large Scale Systems. In: At the 10th International Workshop on Compilers for Parallel Computers (CPC 2003), Amsterdam, The Netherlands (January 2003)Google Scholar
  5. 5.
    The Hitachi Performance Monitor Function (Hitachi Confidential) Google Scholar
  6. 6.
    Browne, S., Dongarra, J., Garner, N., London, K., Mucci, P.: A Scalable Cross-Platform Infrastructure for Application Performance Tuning Using Hardware Counters. In: Proc. SC 2000 (November 2000)Google Scholar
  7. 7.
    Fahringer, T., Gerndt, M., Riley, G., Trff, J.L.: Formalizing OpenMP Performance Properties with the APART Specification Language (ASL). In: International Workshop on OpenMP: Experiences and Implementation. LNCS, pp. 428–439. Springer, Tokyo (2000)Google Scholar
  8. 8.
    Fahringer, T., Gerndt, M., Riley, G., Trff, J.L.: Knowledge Specification for Automatic Performance Analysis. APART Technical Report (2001),
  9. 9.
    CrossGrid Project,
  10. 10.
    Ludwig, T., Wismller, R., Sunderam, V., Bode, A.: OMIS – On-line Monitoring Interface Specification (Version 2.0). LRR-TUM Research Report Series, vol. 9. Shaker Verlag, Aachen (1997), Google Scholar
  11. 11.
    Dynamic Probe Class Library,
  12. 12.
    Dyninst. An Application Program Interface (API) for Runtime Code Generation,
  13. 13.
    Thiffault, C., Voss, M., Healey, S.T., Kim, S.W.: Dynamic Instrumentation of Large-Scale MPI/OpenMP Applications. To appear in Proc. of IPDPS 2003: International Parallel and Distrubuted Processing Symposium, Nice, France (April 2003)Google Scholar
  14. 14.
    Tierney, B., Aydt, R., Gunter, D., Smith, W., Swany, M., Taylor, V., Wolski, R.: A Grid Monitoring Architecture,
  15. 15.
    Nagel, W.E., Arnold, A., Weber, M., Hoppe, H.C., Solchenbach, K.: VAMPIR: Visualization and analysis of MPI resources. Supercomputer 12(1), 69–80 (1996), Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Karl Fürlinger
    • 1
  • Michael Gerndt
    • 1
  1. 1.Institut für InformatikLehrstuhl für Rechnertechnik und RechnerorganisationTechnische Universität München 

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