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Optimizing Substring Search in Zig with SIMD for 60% Faster Performance

By

todsacerdoti

9mo ago· 10 min readen

Summary

The article explores the implementation of a SIMD (single instruction, multiple data) algorithm in the Zig programming language to achieve a 60% performance improvement in substring search compared to Zig's standard library function. The author shares their learning journey and provides a baseline comparison to demonstrate the efficiency gains.

Key quotes

· 3 pulled
This article is a journey into implementing ~60% faster substring searching compared to Zig’s std.mem.indexOf using a SIMD-friendly algorithm.
I’ve seen a lot of articles about having massive performance gains by utilizing SIMD and wanted to learn how to do it myself.
SIMD (or ‘single instruction, multiple data’) code has interested me for a long time.
Snippet from the RSS feed
I’ve been learning a lot about low-level programming languages lately, and for a long time there has been one thing that has interested me: SIMD (or ‘single instruction, multiple data’) code. I’ve seen a lot of articles about having massive performance ga

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