Performance of FORTRAN and C GPU Extensions for a Benchmark Suite of Fourier Pseudospectral Algorithms

B. Cloutier, B. K. Muite, P. Rigge
Dept. of Physics, University of Michigan
arXiv:1206.3215v2 [physics.comp-ph] (12 Aug 2012)


   author={Cloutier}, B. and {Muite}, B.~K. and {Rigge}, P.},

   title={"{A comparison of CPU and GPU performance for Fourier pseudospectral simulations of the Navier-Stokes, Cubic Nonlinear Schr$backslash$”${$o$}$dinger and Sine Gordon Equations}"},

   journal={ArXiv e-prints},




   keywords={Physics – Computational Physics, Computer Science – Performance},




   adsnote={Provided by the SAO/NASA Astrophysics Data System}


A comparison of PGI OpenACC, FORTRAN CUDA, and Nvidia CUDA pseudospectral methods on a single GPU and GCC FORTRAN on single and multiple CPU cores is reported. The GPU implementations use CuFFT and the CPU implementations use FFTW. Porting pre-existing FORTRAN codes to utilize a GPUs is efficient and easy to implement with OpenACC and CUDA FORTRAN. Example programs are provided.
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