Got myself a few months ago into the optimization rabbit hole as I had a slow quant finance library to take care of, and for now my most successful optimizations are using local memory allocators (see my C++ post, I also played with mimalloc which helped but custom local memory allocators are even better) and rethinking class layouts in a more “data-oriented” way (mostly going from array-of-structs to struct-of-arrays layouts whenever it’s more advantageous to do so, see for example this talk).
What are some of your preferred optimizations that yielded sizeable gains in speed and/or memory usage? I realize that many optimizations aren’t necessarily specific to any given language so I’m asking in !programming@programming.dev.
Unrolled a loop for a microcontroller and improved performance by like 300x. You can achieve amazing optimizations doing basics when you’re at low enough levels. The compiler was not smart enough on its own. Then again this was like 20 years ago. But anyway, will likely never hit that level of optimization ever again lol.