Post-processing analysis of climate simulation data using python and MPI

Date and Time: 
2014 April 7th @ 3:45pm
CG1 Auditorium
John Dennis

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.

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