|Title||GPUDirect MPI Communications and Optimizations to Accelerate FFTs on Exascale Systems|
|Year of Publication||2019|
|Authors||Shaiek, H., S. Tomov, A. Ayala, A. Haidar, and J. Dongarra|
|Keywords||CUDA-Aware MPI, ECP, FFT, FFT-ECP, gpu, GPUDirect|
Fast Fourier transforms (FFTs) are used in applications ranging from molecular dynamics and spectrum estimation to machine learn- ing, fast convolution and correlation, signal modulation, wireless multimedia applications, and others. However, FFTs are memory bound, and therefore, to accelerate them, it is crucial to avoid and optimize the FFTs’ communications. To this end, we present a 3-D FFT design for distributed graphics processing unit (GPU) systems that: (1) efficiently uses GPUs’ high bandwidth, (2) reduces global communications algorithmically, when possible, and (3) employs GPUDirect technologies as well as MPI optimizations in the development of high-performance FFTs for large-scale GPU-accelerated systems. We show that these developments and optimizations lead to very good strong scalability and a performance that is close to 90% of the theoretical peak.
GPUDirect MPI Communications and Optimizations to Accelerate FFTs on Exascale Systems
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