GPU computing

Accelerating the Fourier split operator method

In past postings I wrote on fast Fourier transform (FFT) performance and on GPU computing. In a new project both topics meet. We evaluated the FFT performance on GPUs. We found performance gains of more than one order of magnitude as compared to traditional (non-parallel) CPU codes.

The FFT is a core algorithm that finds applications in many different computational problems.  Thus, performing FFTs on GPUs may boost many applications. In a recent paper (see arXiv:1012.3911) we showed how to solve  the time-dependent  Schrödinger equation and the time-dependent Dirac equations by a Fourier split operator method on GPU hardware.

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