Go 1.27 Got SIMD... But You Probably Won't Use It

Let's checkout SIMD in Go 1.27! If you would like to see a quick summary of all the changes in Go 1.27, check out this video: https://youtu.be/RboN0J87NrA 📝 Description Master SIMD in Go 1.27 with a practical example. In this short tutorial, we use the experimental `simd` package to speed up cosine similarity, and we cover when SIMD is worth the effort and when it isn't. By the end, you will know how to vectorize a hot loop without getting lost in low-level details. Here's what you will learn: • Understand what SIMD is, why it's still experimental, and how to opt in with `GOEXPERIMENT=simd`. • Learn what cosine similarity is and why it matters for semantic search, RAG, and vector databases. • Build a scalar cosine function, then rewrite it with `simd.Float32s`, lanes, and fused multiply-add (`MulAdd`). • Handle leftover elements safely with `LoadFloat32sPart`, and collapse lanes into a final result with a horizontal sum. • Discover further optimizations: pre-normalized vectors, multiple accumulators, and avoiding allocations. ⏳ Timestamps: 00:00 - Introduction 01:23 - Without SIMD 06:17 - With SIMD 18:01 - Outro 👋 Hey there! If you are new to this channel: Hey 👋 my name is Flo and I am a professional software engineer with a passion for coding in Golang, TypeScript, JavaScript, and Rust. This channel is where I share that passion and dive into the exciting world of software engineering. 📨 Support and Connect! Become a member. https://www.youtube.com/@FloWoelki/membership Discord: https://discord.gg/TnA7drJ X / Twitter: https://x.com/FlorianWoelki LinkedIn: https://www.linkedin.com/in/florian-woelki/ GitHub: https://github.com/FlorianWoelki 📝 Copyright Notice The original Go Gopher was designed by Renée French (Source: https://go.dev/blog/gopher License details: https://creativecommons.org/licenses/by/4.0/). The gopher appearing in this video and thumbnail has been modified from the original design and is based on an illustration from Maria Letta's free-gophers-pack (Source: https://github.com/MariaLetta/free-gophers-pack License: CC0 1.0 Public Domain https://creativecommons.org/publicdomain/zero/1.0/). #go #go127 #simd #performance #cosine