You can use your own GPU if you have one, but that’s not detailed. The puzzles start, assuming you know nothing at all about GPU programming, which is totally the case for some of us!

Posted in News Tagged CUDA, developer, gpu, graphics processing, NVIDIA, parallel processing, python, pytorch, torch ← Taking Cues From A Gramophone To Make A Better Marble Music Machine ...

Over at Dr. Dobbs, Rob Farber writes that, when used correctly, atomic operations can help implement a wide range of generic data structures and algorithms in the massively threaded GPU programming ...

In a nutshell, CUDA is a set of tools, libraries, and C language extensions that let developers have more easily generalizable and lower-level access to the G8800's hardware than typical graphics ...