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
Probably only a delay of the inevitable - with facial-recognition systems already part of daily lives in countries such as China, how lon...
New
New
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
The Modern Mathematics of Deep Learning.
We describe the new field of mathematical analysis of deep learning. This
field emerged around...
New
Biggest jackpot ever apparently! :upside_down_face:
I don’t (usually) gamble/play the lottery, but working on a program to predict the...
New
Two recent collaborations between mathematicians and DeepMind demonstrate the potential of machine learning to help researchers generate ...
New
With Grokking Statistics, you’ll build a strong foundation in statistical analysis by working through engaging mini projects that put eac...
New
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
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
Write Elixir tests that you can be proud of. Dive into Elixir’s test philosophy and gain mastery over the terminology and concepts that u...
New
New
Learn different ways of writing concurrent code in Elixir and increase your application's performance, without sacrificing scalability or...
New
Programming Ruby is the most complete book on Ruby, covering both the language itself and the standard library as well as commonly used t...
New
Big O Notation can make your code faster by orders of magnitude. Get the hands-on info you need to master data structures and algorithms ...
New
Will Swifties’ war on AI fakes spark a deepfake porn reckoning?
New
If you’re getting errors like this:
psql: error: connection to server on socket “/tmp/.s.PGSQL.5432” failed: No such file or directory ...
New
This is a very quick guide, you just need to:
Download LM Studio: https://lmstudio.ai/
Click on search
Type DeepSeek, then select the o...
New
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
Quickly turn complex problems into simple, working solutions using functional programming, safe concurrency, and the expressive tools of ...
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
- /sublime-text
- /textmate
- /nixos
- /debian
- /agda
- /deno
- /django
- /kubuntu
- /arch-linux
- /nodejs
- /ubuntu
- /spring
- /revery
- /manjaro
- /lua
- /diversity
- /julia
- /quarkus
- /markdown









