Integrating Performance Analysis and Energy Efficiency Optimizations in a Unified Environment

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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.


Original languageEnglish
Title of host publicationComputer Science - Research and Development
Place of PublicationBerlin Heidelberg
PublisherSpringer Verlag
Number of pages9
Publication statusPublished - 2013


TitleInternational Conference on Energy-Aware High Performance Computing
Abbreviated titleEnA-HPC
Conference number4
Duration2 - 3 September 2013
Degree of recognitionInternational event

External IDs

ORCID /0009-0003-0666-4166/work/151475561


Sustainable Development Goals


  • performance, analysis, optimizations