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
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
What is Logica? Logica is an open source declarative logic programming language for data manipulation. Logica is a successor to Yedalog, ...
New
First poster: bot
The Future of Deep Learning Is Photonic. Computing with light could slash the energy needs of neural networks
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
The book focuses on designing a complete, modular lakehouse architecture using Apache Iceberg—leveraging open source tools instead of rel...
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
PragmaticBookshelf
Ruby, Io, Prolog, Scala, Erlang, Clojure, Haskell. With Seven Languages in Seven Weeks, by Bruce A. Tate, you’ll go beyond the syntax—and...
New
Exadra37
Please tell us what is your preferred monitor setup for programming(not gaming) and why you have chosen it. Does your monitor have eye p...
New
PragmaticBookshelf
From finance to artificial intelligence, genetic algorithms are a powerful tool with a wide array of applications. But you don't need an ...
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
Create efficient, elegant software tests in pytest, Python's most powerful testing framework. Brian Okken @brianokken Edited by Kat...
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
New
First poster: AstonJ
Jan | Rethink the Computer. Jan turns your computer into an AI machine by running LLMs locally on your computer. It’s a privacy-focus, l...
New
PragmaticBookshelf
A concise guide to MySQL 9 database administration, covering fundamental concepts, techniques, and best practices. Neil Smyth MySQL...
New