Corpus ID: 215238534

Deep-learning enhancement of large scale numerical simulations

@article{Leeuwen2020DeeplearningEO,
  title={Deep-learning enhancement of large scale numerical simulations},
  author={C. N. Leeuwen and Damian Podareanu and V. Codreanu and M. Cai and Axel Berg and S. Zwart and Robin Stoffer and M. Veerman and C. V. Heerwaarden and S. Otten and S. Caron and C. Geng and F. Ambrosetti and A. Bonvin},
  journal={ArXiv},
  year={2020},
  volume={abs/2004.03454}
}
Traditional simulations on High-Performance Computing (HPC) systems typically involve modeling very large domains and/or very complex equations. HPC systems allow running large models, but limits in performance increase that have become more prominent in the last 5-10 years will likely be experienced. Therefore new approaches are needed to increase application performance. Deep learning appears to be a promising way to achieve this. Recently deep learning has been employed to enhance solving… Expand

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