Acceleration of Complex Terrain Wind Predictions Using Many-Core Computing Hardware
Advances in software and hardware technologies in many-core graphics processing units (GPU) create new opportunities to accelerate computational turn-around time of computational fluid dynamics (CFD) simulations for wind engineering applications, where rapid simulations can make a tremendous impact on the current practice. We investigate the computational performance of a GPU-accelerated incompressible Navier-Stokes solver for 3D flows (GIN3D) for complex terrain simulations on multi-GPU desktop platforms and on the recently deployed NCSA Lincoln Tesla Cluster. Our results demonstrate the potential of GPU computing to accelerate complex terrain wind forecasting applications.
Senocak, Inanc and Jacobsen, Dana A.. (2010). "Acceleration of Complex Terrain Wind Predictions Using Many-Core Computing Hardware". Fifth International Symposium on Computational Wind Engineering, .