August 3, 2020 | Susan Tussy

Computational scientific research involves massive datasets created by today’s cutting-edge instruments and experiments — telescopes, particle accelerators, sensor networks and molecular simulations. Scientific software used to process these massive data sets and extract discoveries from experimental data is typically made up of tens to thousands of smaller functions, blocks of code that handle individual jobs in the long pipeline of data analysis.