Building Support for Efficient Calculations across Large Datasets in MetPy

11th Symposium on Advances in Modeling and Analysis Using Python

101st American Meteorological Society Annual Meeting, January 2021

Here you will find the scripts I used to generate graphs of performance for Quantity-wrapped numpy arrays versus Quantity-wrapped Dask Arrays in MetPy. These examples are for illustration only and do not represent an overall efficient workflow that should be used in real applications.

The authors acknowledge the High Performance Computing Center (HPCC) at Texas Tech University for providing computational resources that have contributed to the research results reported here. URL: http://www.hpcc.ttu.edu

See also

https://github.com/Unidata/MetPy https://github.com/dask/dask https://github.com/hgrecco/pint https://github.com/pydata/xarray