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| Eynard-bontemps, Guillaume; Abernathey, Ryan; Hamman, Joseph; Ponte, Aurelien; Rath, Willi. |
| Pangeo[1] is a community-driven effort for open-source big data initially focused on the Earth System Sciences. One of its primary goals is to enable scientists in analyzing petascale datasets both on classical high-performance computing (HPC) and on public cloud infrastructure. In only a few years, Pangeo has grown into a very productive community collaborating on the development of open-source analysis tools for science. It provides a set of example deployments based on open-source Scientific Python packages like Jupyter[2], Dask[3], and Xarray[4] that bring together scientists and developer with their actual use-cases. In this paper, we first describe Pangeo ecosystem and community. We then present its impact on the work of scientists from CNES on the... |
| Tipo: Text |
Palavras-chave: Pangeo; Dask; Jupyter; HPC; Cloud; Big Data; Analysis; Open Source. |
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00503/61441/65160.pdf |
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