Authors: Dmitrii Tolmachev (ETH Zürich)
Abstract: The Fast Fourier Transform is an essential algorithm of modern computational science. The highly parallel structure of the FFT allows for its efficient implementation on graphics processing units (GPUs), which are now widely used for general-purpose computing. This poster presents the VkFFT - an efficient GPU-accelerated multidimensional Fast Fourier Transform library for Vulkan/CUDA/HIP/OpenCL/Level Zero projects. VkFFT aims to provide the community with a cross-platform open-source alternative to vendor-specific solutions while achieving comparable or better performance. This poster presents the optimizations implemented in VkFFT and compares its performance and precision against Nvidia cuFFT and AMD's rocFFT libraries on their latest HPC GPUs. This poster also presents the first performant implementation of Discrete Cosine Transforms on GPUs. VkFFT is released under MIT license.
Best Poster Finalist (BP): no
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