Skip to Content
Hands-On GPU Computing with Python
book

Hands-On GPU Computing with Python

by Avimanyu Bandyopadhyay
May 2019
Intermediate to advanced
452 pages
12h 16m
English
Packt Publishing
Content preview from Hands-On GPU Computing with Python

Comparing PyOpenCL to HIP and OpenCL – revisiting the reduction perspective

As in the previous chapter, let's compare PyOpenCL to HIP and OpenCL in terms of simplicity in parallelization before we write our first PyCUDA programs on PyCharm.

In the following table, we are exploring the scope of PyOpenCL with respect to HIP and OpenCL to note when to prefer PyOpenCL over OpenCL:

HIP

OpenCL

PyOpenCL

Based on C/C++ programming language.

Based on C/C++ programming language.

Based on Python programming language.

Includes both device and host code in a single .c or .cpp file.

Requires creation of a separate .cl file for device code along with a .c or .cpp file that calls the same code from the host for parallelization.

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

Read now

Unlock full access

More than 5,000 organizations count on O’Reilly

AirBnbBlueOriginElectronic ArtsHomeDepotNasdaqRakutenTata Consultancy Services

QuotationMarkO’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.
Julian F.
Head of Cybersecurity
QuotationMarkI wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.
Addison B.
Field Engineer
QuotationMarkI’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.
Amir M.
Data Platform Tech Lead
QuotationMarkI'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Mark W.
Embedded Software Engineer

You might also like

Python GPU Programming in 5 Minutes

Python GPU Programming in 5 Minutes

Alfredo Deza, Noah Gift
Advanced Python Programming

Advanced Python Programming

Dr. Gabriele Lanaro, Quan Nguyen, Sakis Kasampalis

Publisher Resources

ISBN: 9781789341072