Pycuda_101

Fundamentals of pycuda The PyCUDA Basic Operations notebook provides an introduction to using PyCUDA, a Python library for using the CUDA framework on NVIDIA GPUs. In this notebook, you will learn how to:

• Install PyCUDA
• Use PyCUDA to write GPU-accelerated programs
• To use PyCUDA, you must first have an NVIDIA GPU and the CUDA framework installed. Then, you can install PyCUDA using the Python package manager pip:

pip install pycuda

Once PyCUDA is installed, you can import it in your Python programs like so:

import pycuda.autoinit
import pycuda.driver as cuda

To write GPU-accelerated programs with PyCUDA, you will follow these steps:

• Create a CUDA kernel (a program for the GPU)
• Prepare data for the kernel to operate on
• Run the kernel on the GPU
• Copy the results back to the CPU memory