Applying neural networks to predict HPC-I/O bandwidth over seismic data on lustre file system for ExSeisDat

HPC or super-computing clusters are designed for executing computationally intensive operations that typically involve large scale I/O operations. This most commonly involves using a standard MPI library implemented in C/C++. The MPI-I/O performance in HPC clusters tends to vary significantly over a...

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Detalles Bibliográficos
Autores principales: Tipu, Abdul Jabbar Saeed, Conbhuí, Padraig Ó, Howley, Enda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9283189/
https://www.ncbi.nlm.nih.gov/pubmed/35855775
http://dx.doi.org/10.1007/s10586-021-03347-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9283189/
https://www.ncbi.nlm.nih.gov/pubmed/35855775
http://dx.doi.org/10.1007/s10586-021-03347-8

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