How can I use a GPU for parallel computing in Python?

How can I use a GPU for parallel computing in Python?

You can use libraries like CuPy or PyCUDA to leverage GPU capabilities for parallel computing in Python.

What are the advantages of using a GPU over a CPU for this?

GPUs can handle thousands of threads simultaneously, making them much faster for parallel tasks compared to CPUs.

Can you give me a simple code example?

Sure! Here's a basic example using CuPy:

import cupy as cp

# Create two random arrays on the GPU
x = cp.random.rand(1000000)
y = cp.random.rand(1000000)

# Perform element-wise addition
z = x + y

Do I need to install any specific drivers?

Yes, you'll need to install the appropriate NVIDIA drivers and CUDA toolkit for your GPU to work with these libraries.