gpu

You can help with the reverse engineering of Apple Silicon done by a dozen people worldwide, that is how we find out the GPU and NPU instructions[1-4]. There is over 43 trillion float operations per second to unlock at 8 terabit per second 'unified' memory bandwidth and 270 gigabits per second networking (less on the smaller chips).... [1] https://github.com/AsahiLinux/gpu [2] https://github.com/dougallj/applegpu [3] https://github.com/antgroup-skyward/ANETools/tree/main/ANEDi... [4] https://github.com/hollance/neural-engine You can use a high level APIs like MLX, Metal or CoreML to compute other things on the GPU and NPU. Shadama [5] is an example programming language that translates (with Ometa) matrix calculations into WebGPU or WebGL APIs (I forget which). You can do exactly the same with the MLX, Metal or CoreML APIs and only pay ar

Ultimately they build command buffers and send them to the GPU. You'd need a way to do that from macOS. The original Mesa drivers for the M1 GPU were bootstrapped by doing just that, sending command buffers to the AGX driver in macOS using IOKit. https://rosenzweig.io/blog/asahi-gpu-part-2.html https://github.com/AsahiLinux/gpu/blob/main/demo/iokit.c So you'd need a bit more glue in Mesa to get the surfaces from the GPU into something you can composite onto the screen in macOS.