815852
doi
10.5281/zenodo.815852
oai:zenodo.org:815852
user-paco2017
user-eu
Kumaraswamy, Madhura
Technische Universität München (TUM)
Gerndt, Michael
Technische Universität München (TUM)
Bendifallah, Zakaria
Intel ExaScale Labs, Paris, France
Bouizi, Othman
Intel ExaScale Labs, Paris, France
Řı́ha, Lubomı́r
IT4Innovations National Supercomputing Centre, VŠB-TUO, Ostrava, Czech Republic
Vysocký, Ondřej
IT4Innovations National Supercomputing Centre, VŠB-TUO, Ostrava, Czech Republic
Beseda, Martin
IT4Innovations National Supercomputing Centre, VŠB-TUO, Ostrava, Czech Republic
Zapletal, Jan
IT4Innovations National Supercomputing Centre, VŠB-TUO, Ostrava, Czech Republic
Domain Knowledge Specification for Energy Tuning
Chowdhury, Anamika
Technische Universität München (TUM)
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Domain knowledge, Energy-efficiency, auto-tuning
<p>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.</p>
Zenodo
2017-06-22
info:eu-repo/semantics/conferencePaper
815851
user-paco2017
user-eu
award_title=Runtime Exploitation of Application Dynamism for Energy-efficient eXascale computing; award_number=671657; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/671657; funder_id=00k4n6c32; funder_name=European Commission;
1579533633.703027
363970
md5:ce9491ab2f739658947f1cb283dfba58
https://zenodo.org/records/815852/files/DKSforEnergyTuning.pdf
public
10.5281/zenodo.815851
isVersionOf
doi