<italic>EXTES</italic>: An <italic>Ex</italic>ecution-<italic>T</italic>ime <italic>E</italic>stimation <italic>S</italic>cheme for Efficient Computational Science and Engineering Simulation via Machine Learning

In recent years, computational science and engineering (CSE) simulations using high-performance computing resources are actively exploited to solve complex domain-specific problems. Thanks to the remarkable advance of IT technology, the CSE community is challenging more complex and difficult problem...

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Detalles Bibliográficos

Autores principales:	Seounghyeon Kim, Young-Kyoon Suh, Jeeyoung Kim
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	IEEE 2019-01-01
Colección:	IEEE Access
Materias:	Computational science and engineering simulation EDISON execution time estimation machine learning provenance data
Acceso en línea:	https://ieeexplore.ieee.org/document/8766089/
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