FFTX stands for Fast Fourier Transform Extension and is a framework for accelerating Fourier transforms through parallel programming on graphics processing units (GPUs). It was developed by Nvidia and is optimized for their CUDA architecture.
FFTX provides a set of FFT routines that can be used in a variety of applications such as signal processing, image processing, and scientific simulations. It is designed to take advantage of the parallel processing capabilities of GPUs, which can significantly speed up FFT computations.
FFTX supports both single and double precision floating-point arithmetic and includes a number of optimizations such as multi-GPU support, mixed-radix algorithms, and algorithmic tuning. It also includes a set of pre-built FFT functions for popular signal processing applications such as convolution, correlation, and filtering.
Overall, FFTX is a powerful and flexible tool for accelerating Fourier transforms on GPUs, enabling faster and more efficient signal processing and scientific computing.
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