this post was submitted on 25 Aug 2023
237 points (99.6% liked)
Technology
59132 readers
5502 users here now
This is a most excellent place for technology news and articles.
Our Rules
- Follow the lemmy.world rules.
- Only tech related content.
- Be excellent to each another!
- Mod approved content bots can post up to 10 articles per day.
- Threads asking for personal tech support may be deleted.
- Politics threads may be removed.
- No memes allowed as posts, OK to post as comments.
- Only approved bots from the list below, to ask if your bot can be added please contact us.
- Check for duplicates before posting, duplicates may be removed
Approved Bots
founded 1 year ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
GPUs are specialized computers used to accelerate "Matrix Multiplication". Traditionally, matrix-multiplication was used to calculate 3d objects vs the camera / screen... a very common operation in video games. There's a bit of math and study involved in this, but this picture should give you the idea:
GPUs are designed to perform this operation trillions-of-times per second, because video games have a lot of objects on the screen that move around (rotate / animate, etc. etc.), that needs to be simulated in this manner. So any video game will have a powerful, dedicated computer specifically designed for this matrix-multiplication operation.
About... 15ish years ago, someone created the "Tensor" operation for Deep Learning Neural Networks. This allowed ANNs to be written as a matrix-multiplication problem, and therefore accelerated on a GPU. GPUs after all, are the fastest computers we got for Matrix Multiplication.
GPUs are used in Machine Learning to train Neural Networks. Everyone in the AI field uses NVidia GPUs. Also NVidia uses special machine learning cores in the GPU, Tensor cores, to accelerate Ray Tracing and DLSS. AMD does not have these type of chips on their GPU that’s why ray tracing performance on AMD cards is significantly slower.