Integrating Performance Analysis and Energy Efficiency Optimizations in a Unified Environment
Research output: Contribution to book/conference proceedings/anthology/report › Chapter in book/anthology/report › Contributed › peer-review
Contributors
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.
Details
Original language | English |
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Title of host publication | Computer Science - Research and Development |
Place of Publication | Berlin Heidelberg |
Publisher | Springer Verlag |
Pages | 231-239 |
Number of pages | 9 |
Volume | 29 |
Publication status | Published - 2013 |
Peer-reviewed | Yes |
Symposium
Title | 4th International Conference on Energy-Aware High Performance Computing |
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Abbreviated title | EnA-HPC 2013 |
Conference number | 4 |
Duration | 2 - 3 September 2013 |
Website | |
Degree of recognition | International event |
Location | Technische Universität Dresden |
City | Dresden |
Country | Germany |
External IDs
ORCID | /0009-0003-0666-4166/work/151475561 |
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Keywords
Sustainable Development Goals
Keywords
- performance, analysis, optimizations