Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
amx
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Optimize sgemm on RISC-V platform
I am talking about the matrix/vector coprocessor (AMX). You can find some reverse-engineered documentation here: https://github.com/corsix/amx
On M3 a singe matrix block can achieve ~ 1TFLOP on DGEMM, I assume it will be closer to 4TFLOPS for SGEMM. The Max variants have two such blocks. Didn't do precise benchmarking myself, but switching Python/R matrix libraries to use Apple's BLAS result in 5-6x perf improvement on matrix heavy code for me.
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Intel AMX
It's really cool. I hope it becomes more common for training/inference/numerics capable accelerators to be included in consumer hardware.
Apple's AMX is really under-documented, while the instructions were reverse engineered, Virtually no benchmarks are available comparing current chip generations, models and variants.
https://github.com/corsix/amx
- Why do x86 processors take up so much energy when compared to ARM?
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Bfloat16 support coming to Apple's Metal and PyTorch [video]
Visible in the unofficial documentation for AMX instructions too - M2 only bf16 functionality - https://github.com/corsix/amx/blob/main/matfp.md
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LLaMA-7B in Pure C++ with full Apple Silicon support
Confusingly there are 2 mechanisms to do matrix operations on the new apple hardware - AMX (https://github.com/corsix/amx) - and the ANE (apple neural engine) - which is enabled by CoreML. This code does not run on the neural engine but the author has a branch for his whisper.cpp project which uses it here: https://github.com/ggerganov/whisper.cpp/pull/566 - so it may not be long before we see it applied here as well. All of this is to say that it actually could get significantly faster if some of this work was able to be handed to the ANE with CoreML.
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Linux 6.2: The first mainstream Linux kernel for Apple M1 chips arrives
really? seems pretty well documented here: https://github.com/corsix/amx
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AMX: The Secret Apple M1 Coprocessor
Article is almost two years old, and has a huge correction at the bottom. It's just a proprietary ISA extension, there's even a repo documenting what's been reverse engineered.
- corsix/amx: Apple AMX Instruction Set
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Show HN: Port of OpenAI's Whisper model in C/C++
You are correct, in that those are the four
My understanding is that the AMX is more tightly wound with the CPU, ultimately being accessible via an instruction set (https://github.com/corsix/amx), and it is useful if you need to do matrix multiplications interleaved with other CPU tasks. A common example would be a VIO loop or something where you want that data in the CPU caches.
The GPU and Neural Engine are not that – they take some time to set up and initialize. They also can parallelize tasks to a much higher degree. The GPU is more generalizable, because you can write compute shaders to do anything in parallel, but it uses a lot of resources. I'll have to check out the PR to see how exactly the MPS shaders match up with the task at hand, because you could also consider writing Metal compute shaders by hand.
I know the least about the ANE, but it has specific hardware for running ML models, and you have to process the weights ahead of time to make sure they are in the right format. It can run ML models very efficiently and is the most battery friendly.
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Ask HN: Are there any undocumented ISA extensions used in Linux systems?
If someone were to build a Linux system with proprietary ISA extensions, how would they do it given Linux is open source? Are there any examples of this being done? Would it be possible at all?
I got inspiration from this (https://github.com/corsix/amx) and I wondered if someone has done it before on a Linux-based system. I understand a userspace library could be created to access those instructions from userspace, but how would then they be implemented in the kernel? Through a proprietary kernel module built using a custom compiler? Or is that not needed at all and the library could just run on the processor taking advantage of the proprietary extensions?
stats
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Nvtop: Linux Task Monitor for Nvidia, AMD and Intel GPUs
its not a terminal app like bottom or nvtop but I use https://github.com/exelban/stats and it has iGPU stats
- Stats – macOS system monitor in your menu bar
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Hard disk LEDs and noisy machines
I’ve found stats [1] to be a great open source alternative to the iStat Menus system monitor app mentioned in the article.
[1] https://github.com/exelban/stats
- Just an appreciation post
- Are my new MBP stats OK while gaming?
- New to MacOS - how do I view remaining battery time and screen on time?
- Rare Git Dev Behavior
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A standalone Activity Monitor alternative that isn't on the menu bar and shows stats for individual apps and groups processes by app?
have not used it for quite some time, and I think it was launching the Mac system monitor , it does don't have its own widow , but you can check this https://github.com/exelban/stats
- Base Model M1 slow and freezing
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Anyones macbook also run hotter than their gaming laptop. What temp does the cpu start to throttle? Slow speeds
stats, it's an awesome FOSS app!
What are some alternatives?
emacs-pure
iGlance - Free system monitor for OSX and macOS. See all system information at a glance in the menu bar.
whisper.cpp - Port of OpenAI's Whisper model in C/C++
eul - 🖥️ macOS status monitoring app written in SwiftUI.
sentencepiece - Unsupervised text tokenizer for Neural Network-based text generation.
MenuMeters - my fork of MenuMeters by http://www.ragingmenace.com/software/menumeters/
whisper.cpp - Port of OpenAI's Whisper model in C/C++
HoRNDIS - Android USB tethering driver for Mac OS X
llama-mps - Experimental fork of Facebooks LLaMa model which runs it with GPU acceleration on Apple Silicon M1/M2
SmallTree-I211-AT-patch - Patched SmallTree kext for I211-AT support
amx-rs - Rust wrapper for Apple Matrix Coprocessor (AMX) instructions
HWMonitorSMC2 - Application for monitoring hardware health in macOS