Parallelization of a Non-linear Analysis Code Research

Over the last decade, ORNL has developed and patented a novel approach for forewarning of a large variety of machine and biomedical events (more info). One of the most amazing uses of this research involves accurate prediction of epileptic seizures with up to 4.5 hours of forewarning. The analysis involves 27 GB of brain wave data with 40 seizure datasets and 20 non-event datasets. The majority of this analysis to date has been on desktop computers. An important next step in this effort is implementation on a high-performance computer for rapid analysis. This work involves conversion of the existing research-class, nonlinear statistical FORTRAN code to a parallelized form that runs on a high-performance cluster computer. The brain wave data will be analyzed for seizure forewarning for various values of the statistical parameters. The goal is maximal total true rate, which is the sum of true positives (correct prediction of a seizure event) and true negatives (no forewarning when no event occurs).