Abstract
The European Union Horizon 2020 READEX project is developing a tool suite for dynamic energy tuning of HPC applications. The tool suite performs an analysis during design-time before production run to construct a tuning model encapsulated with the best-found configurations that are then fed to the runtime tuning library. The library switches the configurations at runtime to adapt the application for energy-efficiency.
| Original language | English |
|---|---|
| Title of host publication | SEM4HPC 2017 - Proceedings of the 2017 Workshop on Software Engineering Methods for Parallel and High Performance Applications, co-located with HPDC 2017 |
| Publisher | Association for Computing Machinery, Inc |
| Pages | 11-12 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781450350006 |
| DOIs | |
| State | Published - 26 Jun 2017 |
| Event | 2017 Workshop on Software Engineering Methods for Parallel and High Performance Applications, SEM4HPC 2017 - Washington, United States Duration: 26 Jun 2017 → 30 Jun 2017 |
Publication series
| Name | SEM4HPC 2017 - Proceedings of the 2017 Workshop on Software Engineering Methods for Parallel and High Performance Applications, co-located with HPDC 2017 |
|---|
Conference
| Conference | 2017 Workshop on Software Engineering Methods for Parallel and High Performance Applications, SEM4HPC 2017 |
|---|---|
| Country/Territory | United States |
| City | Washington |
| Period | 26/06/17 → 30/06/17 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Automatic tuning
- Energy-efficiency
- High Performance Computing
- Tools for parallel computing
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