Definitely not high-performance by any means which should come as no surprise due to the limitations of GPU architecture versus CPU for some tasks, but technically fascinating.
this post was submitted on 11 Dec 2024
98 points (99.0% liked)
Programming
17677 readers
40 users here now
Welcome to the main community in programming.dev! Feel free to post anything relating to programming here!
Cross posting is strongly encouraged in the instance. If you feel your post or another person's post makes sense in another community cross post into it.
Hope you enjoy the instance!
Rules
Rules
- Follow the programming.dev instance rules
- Keep content related to programming in some way
- If you're posting long videos try to add in some form of tldr for those who don't want to watch videos
Wormhole
Follow the wormhole through a path of communities !webdev@programming.dev
founded 2 years ago
MODERATORS
Programming GPUs has always been very "C/C++"-like IMO.
In what sense?
I assume that they mean that OpenCL, which is a traditional GPGPU language, is a very restrictive subset of either C or C++ (both are options) plus some annotations.
In fact, OpenCL toolchains already use the Clang frontend and the LLVM backend, so the experience of using and compiling them is very close to C++.
The talk mentions all of this; it says that a benefit of using full C++ on the GPU over using OpenCL is that you don’t have to deal with all the annoying restrictions and annotations.
It's very lookalike, classes, syntax...