This blog post discusses the optimization process for a function called DotNaive, which calculates the dot product of two vectors. The author explores various techniques to improve the speed and efficiency of this function, such as loop unrolling, bounds-checking elimination, quantization, and SIMD (Single Instruction Multiple Data) instructions. The use of SIMD instructions, in particular, leads to a significant increase in throughput. The author also mentions the challenges of writing assembly code in Go and provides code examples for the optimized versions of the function. Overall, this post provides insights into the optimization journey and tools used along the way.
https://sourcegraph.com/blog/slow-to-simd