  This paper presents the first high-order computational fluid dynamics (CFD)
simulations of static and spinning golf balls at realistic flow conditions. The
present results are shown to capture the complex fluid dynamics inside the
dimples which lead to drag reduction versus a smooth sphere, and compare well
to previous experimental and computational studies. The high--order Flux
Reconstruction method has been paired with the Artificial Boundary overset
method to enable simplified mesh generation and grid motion. The compressible
Navier--Stokes equations are modeled using a scale--resolving Large Eddy
Simulation (LES) approach with no sub--grid models. The codes implementing
these methods have been implemented for NVIDIA Graphical Processing Units
(GPUs), enabling large speedups over traditional computer hardware. The new
method allows for the simulation of golf balls, and other objects at similar
moderate Reynolds numbers, to be simulated in a matter of days on large
computing clusters. The use of CFD for the design of objects such as golf balls
and other sports balls is now within reach.
