Abstract
Earthquakes, Tsunamis, the Ionosphere and Computer Science
Tsunami detection and forecasting is a difficult problem that scientists are trying to tackle. Early estimation and accurate prediction of the arrival time and size of a tsunami can save lives and help with impact assessment. Tsunami inducing earthquakes cause ground and sea-surface displacements that push on the atmosphere and propagate into the ionosphere. IonoSeis is a software simulation package that leverages satellite-based ionospheric remote-sensing techniques to determine the epicenter of these earthquakes. The execution time of the ray-tracing component of IonoSeis prevents its use as a real-time modelling tool. A proposed solution is to replace this component with a newer ray-tracing package developed by Los Alamos National Lab called GeoAc and optimize it. This research is a case study that aims to determine how much improvement stands to be gained by using the polyhedral framework and dataflow graphs to parallelize and optimize the operational GeoAc code.