Using machine learning and the Great Lakes HPC Cluster for COVID-19 research

Each week, 51 processes (one for each state and one for the U.S.) are run in parallel (at the same time). "Running all 51 analyses on our own computers would take an extremely long time. The analysis places heavy demands on the hardware running the computations, which makes crashes somewhat likely on a typical laptop. We get all 51 done in the time it would take to do 1," said Corsetti. "It is our goal to provide accurate data that helps our country."