publication . Conference object . Other literature type . 2017

Domain Knowledge Specification for Energy Tuning

Chowdhury, Anamika; Kumaraswamy, Madhura; Gerndt, Michael; Bendifallah, Zakaria; Bouizi, Othman; Řı́ha, Lubomı́r; Vysocký, Ondřej; Beseda, Martin; Zapletal, Jan;
Open Access
  • Published: 22 Jun 2017
Abstract
The European Horizon 2020 project READEX is developing a tool suite for dynamic energy tuning of HPC applications. While the tool suite supports an automatic approach, domain knowledge can significantly help in the analysis and the runtime tuning phase. This paper presents the means available in READEX for the application expert to provide his expert knowledge to the tool suite.
doi: 10.5281/zenodo.815852 , 10.5281/zenodo.815851
Subjects
free text keywords: Domain knowledge, Energy-efficiency, auto-tuning
Funded by
EC| READEX
Project
READEX
Runtime Exploitation of Application Dynamism for Energy-efficient eXascale computing
  • Funder: European Commission (EC)
  • Project Code: 671657
  • Funding stream: H2020 | RIA
Communities
FET H2020FET HPC: HPC Core Technologies, Programming Environments and Algorithms for Extreme Parallelism and Extreme Data Applications
FET H2020FET HPC: Runtime Exploitation of Application Dynamism for Energy-efficient eXascale computing
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ZENODO
Conference object . 2017
Provider: ZENODO
Zenodo
Other literature type . 2017
Provider: Datacite
Zenodo
Other literature type . 2017
Provider: Datacite
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