CUDA and MPI provide two different APIs for parallel programming that target very different parallel architectures. While CUDA allows to utilize parallel graphics hardware for general purpose computing, MPI is usually employed to write parallel programs that run on large SMP systems or on cluster computers. In order to improve a cluster’s overall computational capabilities… Continue reading CUDA-aware MPI
In a recent paper (see arXiv:1012.3911) we showed how to solve the time-dependent Schrödinger equation and the time-dependent Dirac equation by a Fourier split operator method on GPU hardware. For the Fourier split operator method one has to compute a fast Fourier transform (FFT) in each time step and the FFT dominates the overall computing… Continue reading GPU FFT performance
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… Continue reading Accelerating the Fourier split operator method
A new version of TRNG (Tina’s Random Number Generator Library) has been released. TRNG may be utilized in sequential as well as in parallel Monte Carlo simulations. It does not depend on a specific parallelization technique, e.g., POSIX threads, MPI or others. As an outstanding new feature of the latest TRNG release 4.11 it also… Continue reading New TRNG release
A few days ago, I started to gather a survey on GPU computing literature. The survey is non-exhaustive and has strong bias to computational physics applications. However, it might be useful for other GPU computing enthusiasts as well. Therefore, I publish my survey in this post. The list will be updated from time to time.… Continue reading GPU computing literature