GPU-Accelerated Semi-Lagrangian Advection for Climate & Environment

This is the gpu-accelerated variant of the Semi-Lagrangian Advection. Semi-Lagrangian schemes trace characteristics backward in time and interpolate, giving stability at large timesteps — the basis of Stam's Stable Fluids.

In climate & environment, teams face challenges like multiscale coupling, long time horizons, data assimilation. The gpu-accelerated semi-lagrangian advection directly supports use cases such as pollutant dispersion, ocean-current modeling, reaction–diffusion, and PolySim's AI Copilot can recommend settings and catch common setup errors before you run.