Acceleration of a 3D Euler Solver Using Commodity Graphics Hardware

The porting of twoand three-dimensional Euler solvers from a conventional CPU implementation to the novel target platform of the Graphics Processing Unit (GPU) is described. The motivation for such an effort is the impressive performance that GPUs offer: typically 10 times more floating point operations per second than a modern CPU, with over 100 processing cores and all at a very modest financial cost. Both codes were found to generate the same results on the GPU as the FORTRAN versions did on the CPU. The 2D solver ran up to 29 times quicker on the GPU than on the CPU; the 3D solver 16 times faster. Nomenclature cv Specific heat capacity at constant volume e Specific total energy = cvT + 1 2 V 2 h0 Specific stagnation enthalpy p Pressure t Time u,v Cartesian components of velocity V Velocity (magnitude) T Temperature Yp Stagnation pressure loss coefficient = p01−p0 p01−p2 [email protected] [email protected] 1 ρ Density subscripts 0 Stagnation 1 Inlet 2 Exit