Writing your first PyOpenCL programs to compute a general-purpose solution

As we discussed in the previous section, PyOpenCL has a clear advantage with respect to code length over OpenCL and HIP as the former is Python-based. Now, let's get our hands dirty and write our first PyOpenCL code. Follow these steps to get started:

  1. First, open a new file on PyCharm:

  1. Now, let's use the following code to implement OpenCL code within a single .py Python file. This is a regular and basic format in PyOpenCL:
import pyopencl as cl # Importing the OpenCL APIimport numpy # Import Numpy for using numbersfrom time import time # Import access to the current ...

Get Hands-On GPU Computing with Python now with O’Reilly online learning.

O’Reilly members experience live online training, plus books, videos, and digital content from 200+ publishers.