alt Hacker NewsThere's no mention of branch prediction, or context switching, or synchronisation. Depending on what you're doing, they could be very consequential. There's only very brief mention of parallelisation with threads and with SIMD.
High-performance programming is a big topic. The scope is far too broad for a single blog post, which naturally gives only cursory discussion of C++ and computer architecture. The article isn't bad considering, but I do think it's the wrong format. A blog series, or even a book, would be more fitting.
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Learn which instructions SIMD nicely (sqrt / fabs, etc). Use ternaries in loops for masking. Use trig identities and lookup tables (don't recompute sin(3t) when you can use two vector multiples using a table of sin(t) eg. sin(t) * sin(t) * sin(t)). Use divisible constexpr constants in loops to eliminate the SIMD tail. Be careful with type casts and floats. `float x; x += 0.5` will introduce *cvt instructions even if the compiler statically knew better otherwise (use 0.5f). Compile with --fast-math and friends so errno doesn't invalidate your SIMD pipeline.
They're a bit old and missing some details, but I like Agner Fog's manuals.
https://www.agner.org/optimize/