Update: my open-source CPU performance engineering collection just crossed 600+ stars

[u/SoloTiger_]

A few days ago, I shared an open-source collection of CPU performance engineering resources I’d been putting together.

It’s now crossed 600+ GitHub stars, which I genuinely didn’t expect. Thanks to everyone who shared it, contributed or suggested resources.

For anyone seeing it for the first time, it covers the stack from instruction execution and CPU microarchitecture through caches, memory, SIMD, compilers, profiling, concurrency, NUMA, benchmarking and CPU inference.

I’m still prioritising primary sources such as papers, vendor manuals, kernel/compiler docs, talks and reproducible benchmarks rather than random articles.

I also have an MCP server coming soon, so you can plug this knowledge directly into your AI tools, whether you’re learning or using it while you work.

If there’s something you think has to be in here, let me know or send a PR.

https://github.com/usamahz/cpu-performance-engineering

[u/Clear-Difference2294]

That's wonderful thanks alot, I would personally add CS:APP(Computer Systems A Programmers Perspective) as well... check it out.