Abstract
The upcoming OpenMP tools interface (OMPT) has been designed as a portable interface for performance analysis tools. It provides access to OpenMP-related information at program runtime and can thus extend the analysis capabilities of current performance tools. This paper compares the functionality and convenience of OMPT with OPARI2 for event-based performance analysis. For this purpose, we integrated OMPT into the measurement infrastructure Score-P, which previously accessed OpenMP-related information using only source-level instrumentation with OPARI2. For comparison, we performed Score-P measurements of the NAS Parallel Benchmark suite and the LULESH code with OPARI2 instrumentation and with OMPT. In each case, we determined the overhead and evaluated the output. We found that the measurement overhead is dominated by the measurement system, while the contribution of the event source remains negligible. Moreover, OMPT and OPARI2 provide complementary views of the performance behavior. Whereas OPARI2 maintains a strictly source-code-centric perspective that reflects OpenMP standard abstractions, OMPT mirrors the behavior of the OpenMP runtime and exposes compiler optimizations.
This material is based upon work supported by the Department of Energy under Grant No. DE-FG02-13ER26158 / DE-SC0010668.
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References
Benedict, S., Petkov, V., Gerndt, M.: PERISCOPE: An online-based distributed performance analysis tool. In: Tools for High Performance Computing 2009, pp. 1–16. Springer, Heidelberg (2010)
Buck, B., Hollingsworth, J.K.: An API for runtime code patching. The International Journal of High Performance Computing Applications 14(4), 317–329 (2000)
Eichenberger, A.E., et al.: OMPT: An OpenMP tools application programming interface for performance analysis. In: Rendell, A.P., Chapman, B.M., Müller, M.S. (eds.) IWOMP 2013. LNCS, vol. 8122, pp. 171–185. Springer, Heidelberg (2013)
Eschweiler, D., Wagner, M., Geimer, M., Knüpfer, A., Nagel, W.E., Wolf, F.: Open Trace Format 2 - The next generation of scalable trace formats and support libraries. In: Proc. of the Intl. Conference on Parallel Computing, ParCo 2011, Ghent, Belgium, August 30 – September 2. Advances in Parallel Computing, vol. 22, pp. 481–490. IOS Press (2012)
Fürlinger, K., Gerndt, M.: ompp: A profiling tool for openmp. In: Mueller, M.S., Chapman, B.M., de Supinski, B.R., Malony, A.D., Voss, M. (eds.) IWOMP 2005/2006. LNCS, vol. 4315, pp. 15–23. Springer, Heidelberg (2008)
Geimer, M., Wolf, F., Wylie, B.J.N., Becker, D., Abraham, E., Mohr, B.: The Scalasca performance toolset architecture. Concurrency and Computation: Practice and Experience 22(6), 702–719 (2010)
Karlin, I., Keasler, J., Neely, R.: LULESH 2.0 updates and changes. Technical Report LLNL-TR-641973, Lawrence Livermore National Laboratory (August 2013)
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: Tools for High Performance Computing, Proceedings of the 2nd International Workshop on Parallel Tools for High Performance Computing, Stuttgart, Germany, pp. 139–155. Springer (July 2008)
Knüpfer, A., Rössel, C., an Mey, D., Biersdorff, S., Diethelm, K., Eschweiler, D., Geimer, M., Gerndt, M., Lorenz, D., Malony, A.D., Nagel, W.E., Oleynik, Y., Philippen, P., Saviankou, P., Schmidl, D., Shende, S.S., Tschüter, R., Wagner, M., Wesarg, B., Wolf, F.: Score-P – A joint performance measurement run-time infrastructure for Periscope, Scalasca, TAU, and Vampir. In: Proc. of 5th Parallel Tools Workshop, 2011, pp. 79–91. Springer, Heidelberg (2012)
Liao, C., Quinlan, D.J., Panas, T., de Supinski, B.R.: A ROSE-based OpenMP 3.0 research compiler supporting multiple runtime libraries. In: Sato, M., Hanawa, T., Müller, M.S., Chapman, B.M., de Supinski, B.R. (eds.) IWOMP 2010. LNCS, vol. 6132, pp. 15–28. Springer, Heidelberg (2010)
Liu, X., Mellor-Crummey, J., Fagan, M.: A new approach for performance analysis of OpenMP programs. In: Proceedings of the 27th International ACM Conference on Supercomputing, pp. 69–80. ACM (2013)
Mellor-Crummey, J., et al.: OMPT support branch of the open source Intel OpenMP runtime library (December 2013), http://intel-openmp-rtl.googlecode.com/svn/branches/ompt-support
Metz, E., Lencevicius, R., Gonzalez, T.F.: Performance data collection using a hybrid approach. SIGSOFT Software Engineering Notes 30(5), 126–135 (2005)
Mohr, B., Malony, A.D., Shende, S.S., Wolf, F.: Design and prototype of a performance tool interface for OpenMP. The Journal of Supercomputing 23(1), 105–128 (2002)
Quinlan, D.J., et al.: ROSE compiler project (April 2014), http://www.rosecompiler.org
Shende, S.S., Malony, A.D.: The TAU parallel performance system. The International Journal of High Performance Computing Applications 20(2), 287–311 (2006)
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Lorenz, D., Dietrich, R., Tschüter, R., Wolf, F. (2014). A Comparison between OPARI2 and the OpenMP Tools Interface in the Context of Score-P. In: DeRose, L., de Supinski, B.R., Olivier, S.L., Chapman, B.M., Müller, M.S. (eds) Using and Improving OpenMP for Devices, Tasks, and More. IWOMP 2014. Lecture Notes in Computer Science, vol 8766. Springer, Cham. https://doi.org/10.1007/978-3-319-11454-5_12
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DOI: https://doi.org/10.1007/978-3-319-11454-5_12
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