Autotuning of Exascale Applications With Anomalies Detection

The execution of complex distributed applications in exascale systems faces many challenges, as it involves empirical evaluation of countless code variations and application runtime parameters over a heterogeneous set of resources. To mitigate these challenges, the research field of autotuning has g...

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Detalles Bibliográficos
Autores principales: Kimovski, Dragi, Mathá, Roland, Iuhasz, Gabriel, Marozzo, Fabrizio, Petcu, Dana, Prodan, Radu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Big Data
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8661695/
https://www.ncbi.nlm.nih.gov/pubmed/34901840
http://dx.doi.org/10.3389/fdata.2021.657218

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8661695/
https://www.ncbi.nlm.nih.gov/pubmed/34901840
http://dx.doi.org/10.3389/fdata.2021.657218

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