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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2021
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| Materias: | |
| 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 |