Integrating Performance Analysis and Energy Efficiency Optimizations in a Unified Environment

Research output: Contribution to book/conference proceedings/anthology/reportChapter in book/anthology/reportContributedpeer-review

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 languageEnglish
Title of host publicationComputer Science - Research and Development
Place of PublicationBerlin Heidelberg
PublisherSpringer Verlag
Pages231-239
Number of pages9
Volume29
Publication statusPublished - 2013
Peer-reviewedYes

Symposium

Title4th International Conference on Energy-Aware High Performance Computing
Abbreviated titleEnA-HPC 2013
Conference number4
Duration2 - 3 September 2013
Website
Degree of recognitionInternational event
LocationTechnische Universität Dresden
CityDresden
CountryGermany

External IDs

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

Keywords

Sustainable Development Goals

Keywords

  • performance, analysis, optimizations