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
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
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
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
ManningBooks
With Grokking Statistics, you’ll build a strong foundation in statistical analysis by working through engaging mini projects that put eac...
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
Brace yourself for a fun challenge: build a photorealistic 3D renderer from scratch! In just a couple of weeks, build a ray tracer that r...
New
DevotionGeo
I know that -t flag is used along with -i flag for getting an interactive shell. But I cannot digest what the man page for docker run com...
New
PragmaticBookshelf
Rust is an exciting new programming language combining the power of C with memory safety, fearless concurrency, and productivity boosters...
New
PragmaticBookshelf
Build highly interactive applications without ever leaving Elixir, the way the experts do. Let LiveView take care of performance, scalabi...
New
AstonJ
We’ve talked about his book briefly here but it is quickly becoming obsolete - so he’s decided to create a series of 7 podcasts, the firs...
New
husaindevelop
Inside our android webview app, we are trying to paste the copied content from another app eg (notes) using navigator.clipboard.readtext ...
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
sir.laksmana_wenk
I’m able to do the “artistic” part of game-development; character designing/modeling, music, environment modeling, etc. However, I don’t...
New
PragmaticBookshelf
Escape callback hell and ship fast, clean code that reads as smoothly as it runs. Squash bugs and stamp out memory leaks with an intuitiv...
New
PragmaticBookshelf
As digital systems increasingly run the world, mastery of the recurring patterns of software development risk is the key to fast and effe...
New