CommunityNews

CommunityNews

Using OpenGL instead of CUDA for machine learning

Summary

In this project, we

  1. Added an OpenGL backend for MXNet/TVM - a general-purpose tensor computation framework, so that it automatically compiles a Python program into an OpenGL shader that runs on the GPU on a computer that does not have CUDA.

  2. Explored optimizations of OpenGL shader programs so that a fundamental computation task needed in machine learning - matrix multiplication - has comparable performance with OpenCL on the same machine.

Read in full here:

This thread was posted by one of our members via one of our news source trackers.

Where Next?

Popular Other Fields topics Top

AstonJ
China used facial recognition quite extensively: And now Russia is too: https://www.bbc.co.uk/news/av/world-europe-52157131/coronaviru...
New
PragmaticBookshelf
Self-driving cars, natural language recognition, and online recommendation engines are all possible thanks to Machine Learning. Discover...
New
New
First poster: bot
As a student, when I was starting to seriously consider Data Science (DS) as a career option, the first thing that came to mind was where...
New
First poster: bot
Adversarial.io is an easy-to-use webapp for altering image material, in order to make it machine-unreadable. It works best with 299 x 29...
New
First poster: bot
We introduce the problem of perpetual view generation —long-range generation of novel views corresponding to an arbitrarily long camera t...
New
CommunityNews
“Markpainting” is a clever technique to watermark photos in such a way that makes it easier to detect ML-based manipulation: An image o...
New
First poster: bot
The Future of Deep Learning Is Photonic. Computing with light could slash the energy needs of neural networks
New
ManningBooks
The book focuses on designing a complete, modular lakehouse architecture using Apache Iceberg—leveraging open source tools instead of rel...
New
ManningBooks
Kafka for Architects teaches you how to incorporate Kafka into enterprise applications. This book stays above the code-level details, foc...
New

Other popular topics Top

PragmaticBookshelf
Machine learning can be intimidating, with its reliance on math and algorithms that most programmers don't encounter in their regular wor...
New
DevotionGeo
I know that these benchmarks might not be the exact picture of real-world scenario, but still I expect a Rust web framework performing a ...
New
Exadra37
Oh just spent so much time on this to discover now that RancherOS is in end of life but Rancher is refusing to mark the Github repo as su...
New
PragmaticBookshelf
Learn different ways of writing concurrent code in Elixir and increase your application's performance, without sacrificing scalability or...
New
PragmaticBookshelf
Build highly interactive applications without ever leaving Elixir, the way the experts do. Let LiveView take care of performance, scalabi...
New
Maartz
Hi folks, I don’t know if I saw this here but, here’s a new programming language, called Roc Reminds me a bit of Elm and thus Haskell. ...
New
AstonJ
Was just curious to see if any were around, found this one: I got 51/100: Not sure if it was meant to buy I am sure at times the b...
New
hilfordjames
There appears to have been an update that has changed the terminology for what has previously been known as the Taskbar Overflow - this h...
New
mindriot
Ok, well here are some thoughts and opinions on some of the ergonomic keyboards I have, I guess like mini review of each that I use enoug...
New
xiji2646-netizen
Woke up to this today: Claude Code’s complete source code exposed via npm source map. Not a snippet. All 512,000 lines. 1,900 TypeScript ...
New