Post-processing analysis of climate simulation data using Python and MPI [presentation]
Dennis, J. M., Brown, D., Paul, K., Mickelson, S.. (2014). Post-processing analysis of climate simulation data using Python and MPI [presentation].
| Title | Post-processing analysis of climate simulation data using Python and MPI [presentation] |
|---|---|
| Genre | Conference Material |
| Author(s) | John M. Dennis, David Brown, Kevin Paul, Sheri Mickelson |
| Abstract | Advances in software parallelism and high-performance systems have resulted in an order of magnitude increase in the volume of output data produced by the Community Earth System Model (CESM). While the volume of data produced by CESM has increased, the parallelism within the post-processing workflow has not keep pace. We describe preliminary work to accelerate the post-processing using Python, MPI, and pyNGL. |
| Publication Title | |
| Publication Date | Apr 7, 2014 |
| Publisher's Version of Record | |
| OpenSky Citable URL | https://n2t.org/ark:/85065/d70001dx |
| OpenSky Listing | View on OpenSky |
| CISL Affiliations | TDD, ASAP, VETS |