cuda python anaconda смотреть онлайн

Download this code from https://codegive.com
CUDA (Compute Unified Device Architecture) is a parallel computing platform and application programming interface (API) model created by Nvidia. It allows developers to use Nvidia GPUs for general-purpose processing (GPGPU). Python, with the help of tools like Anaconda, provides a convenient way to leverage the power of CUDA for parallel computing.
Before you begin, make sure you have the following installed:
If you haven't installed Anaconda, download and install it from the official website: https://www.anaconda.com/products/distribution
Download and install the Nvidia CUDA Toolkit from the official Nvidia website: https://developer.nvidia.com/cuda-downloads
Open a terminal and create a new conda environment:
Install the necessary packages for CUDA development:
Numba is a Just-In-Time (JIT) compiler for Python that translates Python functions to machine code for efficient execution. It supports CUDA acceleration.
Create a new Python file, e.g., cuda_example.py, and add the following code:
Run the CUDA Python example:
If everything is set up correctly, you should see the result of the addition operation performed on the GPU.
Congratulations! You've successfully set up and executed a simple CUDA program using Python and Anaconda. You can now explore more complex CUDA programming with Python and take advantage of the parallel processing capabilities of Nvidia GPUs.
ChatGPT