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

PragmaticBookshelf
Self-driving cars, natural language recognition, and online recommendation engines are all possible thanks to Machine Learning. Discover...
New
New
AstonJ
Just listening now… details revealed in Thinking Elixir’s podcast: José Valim visits and finally publicly reveals what Project Nx is! H...
New
First poster: bot
One of the first things to note about this book is that it is not an academic textbook. The authors of this book are not academics but a ...
New
First poster: bot
Summary In this project, we Added an OpenGL backend for MXNet/TVM - a general-purpose tensor computation framework, so that it automat...
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
Intro I finally escaped from (grad) school in 2019, spent two months interning as an assistant trader at FTX, and have since spent the la...
New
ManningBooks
DAX Reimagined isn’t just another beginner’s guide to the powerful DAX language. This unique book teaches you how to work with the engine...
New
ManningBooks
Timeless Algorithms: The Seminal Papers explains both the how and the why of the most important data science algorithms. Along with the t...
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
Free and open source software is the default choice for the technologies that run our world, and it’s built and maintained by people like...
New
AstonJ
Curious to know which languages and frameworks you’re all thinking about learning next :upside_down_face: Perhaps if there’s enough peop...
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
PragmaticBookshelf
Author Spotlight Rebecca Skinner @RebeccaSkinner Welcome to our latest author spotlight, where we sit down with Rebecca Skinner, auth...
New
PragmaticBookshelf
Author Spotlight: Peter Ullrich @PJUllrich Data is at the core of every business, but it is useless if nobody can access and analyze ...
New
New
AnfaengerAlex
Hello, I’m a beginner in Android development and I’m facing an issue with my project setup. In my build.gradle.kts file, I have the foll...
New
AstonJ
This is cool! DEEPSEEK-V3 ON M4 MAC: BLAZING FAST INFERENCE ON APPLE SILICON We just witnessed something incredible: the largest open-s...
New
PragmaticBookshelf
Overarching tutorial for Python beginner and intermediate developers that teaches web development with the Flask framework. Miguel Gr...
New