SGS Topography Parallelization

A parallelized Sequential Gaussian Simulation (SGS) script in Python designed for simulating subglacial topography. It is modeled after the non-stationary SGS with adaptive partitioning technique presented in the open source package GStatSim. Our script is intended for geostaticians interested in reducing the time required to generate subglacial topographic realizations. Using our parallelization strategy, have noticed a speed improvement of up to 14x when compared with serial implementations of SGS. Additionally, we created a Jupyter notebook that walks through the steps of our parallelized algorithm. This notebook features an interactive 3D visualization of the simulated bed topography using PyVista