cuda toolkit python

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CUDA (Compute Unified Device Architecture) is a parallel computing platform and application programming interface model created by NVIDIA. It allows developers to use NVIDIA GPUs for general-purpose processing. The CUDA Toolkit provides a set of tools for developing GPU-accelerated applications. In this tutorial, we will explore how to use the CUDA Toolkit with Python, specifically focusing on the pycuda library.
Before starting, make sure you have the following installed:
You can install pycuda using the following command:
Let's create a simple program that adds two arrays using CUDA in Python.
This program defines a simple CUDA kernel that adds two arrays element-wise. It then generates random input arrays, transfers them to the GPU, launches the CUDA kernel, and retrieves the result back to the host.
This example demonstrates the basic steps involved in using the CUDA Toolkit with Python. You can extend this tutorial to more complex applications and algorithms that benefit from GPU acceleration.
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