h-Analysis and data-parallel physics-informed neural networks

We explore the data-parallel acceleration of physics-informed machine learning (PIML) schemes, with a focus on physics-informed neural networks (PINNs) for multiple graphics processing units (GPUs) architectures. In order to develop scale-robust and high-throughput PIML models for sophisticated appl...

Descripción completa

Detalles Bibliográficos
Autores principales: Escapil-Inchauspé, Paul, Ruz, Gonzalo A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10579276/
https://www.ncbi.nlm.nih.gov/pubmed/37845265
http://dx.doi.org/10.1038/s41598-023-44541-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10579276/
https://www.ncbi.nlm.nih.gov/pubmed/37845265
http://dx.doi.org/10.1038/s41598-023-44541-5

Ejemplares similares