SIMD in zlib-rs (part 1): Autovectorization and target features (opens in new tab)

I'm fascinated by the creative use of SIMD instructions. When you first learn about SIMD, it is clear that doing more multiplications in a single instruction is useful for speeding up matrix multiplication. But how can all of these weird instructions be used to solve problems that aren't just arithmetic?