| Autor: |
Heagy, Lindsey, Capriotti, Joseph, Kuttai, Johnathan, Cowan, Devin, P��rez, Fernando, Hamman, Joseph, Banihirwe, Anderson, Paul, Kevin |
| Rok vydání: |
2020 |
| DOI: |
10.5281/zenodo.5703801 |
| Popis: |
The SimPEG project was started in 2013 with the aim of being a flexible toolbox for researchers working with numerical simulations and inversions. Since then, there has been substantial growth in the Python and Jupyter ecosystems for scientific computing. The Pangeo project has been a driving force for the development and improvement of packages for handling large multidimensional datasets (Xarray) and performing parallel computation (Dask) on cloud resources and HPC centers. Technologies in the Jupyter ecosystem have continued to advance as well -- for example, the extension framework in JupyterLab allows for custom components such as rich visualizations to be combined with computation. In this presentation, we will provide an update on recent advances in natural source electromagnetic methods in SimPEG that benefit from and build upon developments in the open-source Python and Jupyter ecosystems. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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