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Integrating performance analysis and energy efficiency optimizations in a unified environment

  • Special Issue Paper
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Computer Science - Research and Development

Abstract

Performance analysis tools have been available for decades. They help developers to speed up their applications and pinpoint bottlenecks in scalability. They are wide-spread, well understood, and sophisticated. Since the growing power consumption of HPC systems has become a major cost factor, support for energy efficiency evaluation has been added to various performance analysis tools. Furthermore, beneficial as well as detrimental effects of power saving strategies on energy efficiency are already well understood. However, appropriate tools to directly exploit the detected potentials are not yet available. We therefore present a library that reuses the highly sophisticated instrumentation mechanisms of VampirTrace to dynamically change hardware and software parameters that influence energy efficiency. We also present a library that wraps OpenMP runtimes of several x86_64 compilers in order to provide a low-overhead instrumentation at a parallel region level. This enhances VampirTrace’s abilities to handle OpenMP programs without the typically required recompilation.

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Notes

  1. The used threshold and reduced frequencies are estimates based on the authors experience and not meant to fit perfectly for a maximal saving of energy consumption. Still they provide a good impression how effective a first optimization can be.

  2. In this paper we focus on limited scalability due to architectural, not algorithmical reasons. The latter would include regions with a high amount of barriers and locks and would also benefit from a reduced number of threads.

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Acknowledgements

This work has been funded by the Bundesministerium für Bildung und Forschung via the research project CoolSilicon (BMBF 16N10186).

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  1. Center for Information Services and High Performance Computing (ZIH), Technische Universität Dresden, 01062, Dresden, Germany

    Robert Schöne & Daniel Molka

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  1. Robert Schöne
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  2. Daniel Molka
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Correspondence to Robert Schöne.

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Schöne, R., Molka, D. Integrating performance analysis and energy efficiency optimizations in a unified environment. Comput Sci Res Dev 29, 231–239 (2014). https://doi.org/10.1007/s00450-013-0243-7

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