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Recent Advances in Periscope for Performance Analysis and Tuning

In: Tools for High Performance Computing 2013

Author

Listed:
  • Yury Oleynik

    (Technical University of Munich (TUM), Institute of Informatics)

  • Robert Mijaković

    (Technical University of Munich (TUM), Institute of Informatics)

  • Isaías A. Comprés Ureña

    (Technical University of Munich (TUM), Institute of Informatics)

  • Michael Firbach

    (Technical University of Munich (TUM), Institute of Informatics)

  • Michael Gerndt

    (Technical University of Munich (TUM), Institute of Informatics)

Abstract

State of the art High Performance Computing (HPC) systems pose considerable programming challenges to application developers when tuning their applications. Periscope toolkit is one of a number of performance engineering instruments supporting application programmers in meeting those challenges. Due to the variety of architectures, programming models, runtime environments, and compilers on those systems, programmers need to apply multiple tools to understand and improve program performance. In this paper, we present the latest developments in Periscope aiming at (1) improving its interoperability and integration with other tools, (2) integrating automatic tuning support with performance analysis and (3) further extending performance analysis capabilities. The add-on for Periscope, called PAThWay, allows for the integration of multiple tools into performance tuning workflows. Further, Periscope is currently being extended with the ability to automatically tune parallel applications with respect to execution performance and energy consumption. And finally, new analysis capabilities were added to Periscope for the automatic evaluation of the temporal performance behavior of long-running applications.

Suggested Citation

  • Yury Oleynik & Robert Mijaković & Isaías A. Comprés Ureña & Michael Firbach & Michael Gerndt, 2014. "Recent Advances in Periscope for Performance Analysis and Tuning," Springer Books, in: Andreas Knüpfer & José Gracia & Wolfgang E. Nagel & Michael M. Resch (ed.), Tools for High Performance Computing 2013, edition 127, chapter 0, pages 39-51, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-08144-1_4
    DOI: 10.1007/978-3-319-08144-1_4
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