CommunityNews
Using OpenGL instead of CUDA for machine learning
Summary
In this project, we
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.
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.
Popular Other Fields topics
Self-driving cars, natural language recognition, and online recommendation engines are all possible thanks to Machine Learning. Discover...
New
Is this the future of photography - or spying even :joy:
Creating realistic 3D photo-models from a series of photographs - in this case ...
New
From finance to artificial intelligence, genetic algorithms are a powerful tool with a wide array of applications. But you don't need an ...
New
New
Data. It’s everywhere and we’re only getting more of it. For the last 5-10 years, data science has attracted newcomers near and far tryin...
New
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
We introduce the problem of perpetual view generation —long-range generation of novel views corresponding to an arbitrarily long camera t...
New
What is Logica?
Logica is an open source declarative logic programming language for data manipulation. Logica is a successor to Yedalog, ...
New
The Modern Mathematics of Deep Learning.
We describe the new field of mathematical analysis of deep learning. This
field emerged around...
New
Two recent collaborations between mathematicians and DeepMind demonstrate the potential of machine learning to help researchers generate ...
New
Other popular topics
Learn from the award-winning programming series that inspired the Elixir language, and go on a step-by-step journey through the most impo...
New
Bought the Moonlander mechanical keyboard. Cherry Brown MX switches. Arms and wrists have been hurting enough that it’s time I did someth...
New
Curious to know which languages and frameworks you’re all thinking about learning next :upside_down_face:
Perhaps if there’s enough peop...
New
Start building native Android apps the modern way in Kotlin with Jetpack's expansive set of tools, libraries, and best practices. Learn h...
New
I ended up cancelling my Moonlander order as I think it’s just going to be a bit too bulky for me.
I think the Planck and the Preonic (o...
New
I have always used antique keyboards like Cherry MX 1800 or Cherry MX 8100 and almost always have modified the switches in some way, like...
New
Author Spotlight:
Bruce Tate
@redrapids
Programming languages always emerge out of need, and if that’s not always true, they’re defin...
New
25 puzzles that will make you a better C programmer by challenging your knowledge of the language, and explaining the technical details o...
New
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
Get the comprehensive, insider information you need for Rails 8 with the new edition of this award-winning classic.
Sam Ruby @rubys
...
New
Categories:
Sub Categories:
Popular Portals
- /elixir
- /rust
- /wasm
- /ruby
- /erlang
- /phoenix
- /keyboards
- /python
- /js
- /rails
- /security
- /go
- /swift
- /vim
- /java
- /clojure
- /emacs
- /haskell
- /typescript
- /svelte
- /onivim
- /kotlin
- /c-plus-plus
- /crystal
- /tailwind
- /react
- /gleam
- /ocaml
- /elm
- /flutter
- /vscode
- /html
- /ash
- /deepseek
- /zig
- /opensuse
- /centos
- /php
- /scala
- /react-native
- /lisp
- /textmate
- /sublime-text
- /nixos
- /debian
- /agda
- /deno
- /django
- /kubuntu
- /arch-linux
- /nodejs
- /ubuntu
- /spring
- /revery
- /manjaro
- /diversity
- /lua
- /julia
- /quarkus
- /laravel









