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Certainly! In this tutorial, I will guide you through the process of using CUDA in Python for Fast Fourier Transform (FFT) computations. We'll be using the pycuda library to interface with CUDA and pyculib for FFT computations.
CUDA-Capable GPU: Ensure that you have a CUDA-compatible GPU on your system.
CUDA Toolkit: Install the CUDA Toolkit from the NVIDIA website.
Python Environment: Set up a Python environment with the required packages. You can use pip to install the necessary libraries.
Now, let's create a simple Python script to perform a 1D FFT using CUDA.
Import Libraries:
CUDA FFT Function:
Main Function:
Execution:
Save the script to a file (e.g., cuda_fft_example.py) and run it using:
This tutorial provides a simple example of using CUDA for FFT computations in Python. You can modify and extend this code for more complex scenarios and 2D FFT computations if needed.
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