Tools for assessing and optimizing the energy requirements of high performance scientific computing software

Article, Preprint English OPEN
Diethelm, Kai;
(2016)
Score-P is a measurement infrastructure originally designed for the analysis and optimization of the performance of HPC codes. Recent extensions of Score-P and its associated tools now also allow the investigation of energy-related properties and support the user in the... View more
  • References (9)

    [1] C. Bischof, D. an Mey, and C. Iwainsky, Brainware for green HPC, Computer Science | Research and Development 27, 227{233 (2012).

    [2] Leibniz-Rechenzentrum der Bayerischen Akademie der Wissenschaften, Working with energy aware jobs on SuperMUC, https: //www.lrz.de/services/compute/supermuc/loadleveler/#energy.

    [3] I. Zhukov, C. Feld, M. Geimer, M. Knobloch, B. Mohr, and P. Saviankou, Scalasca v2: Back to the future, in: Tools for High Performance Computing 2014, edited by C. Niethammer, J. Gracia, A. Knupfer, M. M. Resch, and W. E. Nagel (Springer, Cham, 2015), pp. 1{24.

    [4] H. Brunst, D. Hackenberg, G. Juckeland, and H. Rohling, Comprehensive performance tracking with Vampir 7, in: Tools for High Performance Computing, edited by M. S. Muller, M. M. Resch, A. Schulz, and W. E. Nagel (Springer, Berlin, 2010), pp. 17{30.

    [5] P. Saviankou, M. Knobloch, A. Visser, and B. Mohr, Cube v4: From performance report explorer to performance analysis tool, Procedia Computer Science 51, 1343{1352 (2015).

    [6] S. S. Shende and A. D. Malony, The TAU parallel performance system, International Journal of High Performance Computing Applications 20, 287{311 (2006).

    [7] M. Gerndt, E. Cesar, and S. Benkner (eds.), Automatic Tuning of HPC Applications - The Periscope Tuning Framework (Shaker Verlag, Aachen, 2015).

    [8] A. Knupfer, C. Rossel, D. an Mey, S. Biersdorff, K. Diethelm, D. Eschweiler, M. Geimer, M. Gerndt, D. Lorenz, A. D. Malony, W. E. Nagel, Y. Oleynik, P. Philippen, P. Saviankou, D. Schmidl, S. S. Shende, R. Tschuter, M. Wagner, B. Wesarg, and F. Wolf, Score-P: A joint performance measurement run-time infrastructure for Periscope, Scalasca, TAU, and Vampir, in: Tools for High Performance Computing 2011, edited by H. Brunst, M. Muller, W. E. Nagel, and M. M. Resch (Springer, Berlin, 2012), pp. 79{91.

    [10] Y. Oleynik, M. Gerndt, J. Schuchart, P. G. Kjeldsberg, and W. E. Nagel, Run-time exploitation of application dynamism for energye cient exascale computing (READEX), in: Computational Science and Engineering (CSE), 2015 IEEE 18th International Conference on, edited by C. Plessl, D. El Baz, G. Cong, J. M. P. Cardoso, L. Veiga, and T. Rauber (IEEE, Piscataway, 2015), pp. 347{350.

  • Similar Research Results (4)
  • Metrics
Share - Bookmark

  • Download from
  • Funded by
  • Related to
    FET H2020FET HPC: HPC Core Technologies, Programming Environments and Algorithms for Extreme Parallelism and Extreme Data Applications
    FET H2020FET HPC: Runtime Exploitation of Application Dynamism for Energy-efficient eXascale computing
  • Cite this publication