I built a CSV parser to try Go 1.26's new SIMD package
Hey HN, A CSV parser using Go 1.26's experimental simd/archsimd package. I wanted to see what the new SIMD API looks like in practice. CSV parsing is mostly "find these bytes in a buffer"—load 64 bytes, compare, get a bitmask of positions. The interesting part was handling chunk boundaries correctly (quotes and line endings can split across chunks). - Drop-in replacement for encoding/csv - ~20% faster for unquoted data on AVX-512 - Quoted data is slower (still optimizing) - Scalar fallback for non-AVX-512 Requires GOEXPERIMENT=simd.…
What it does
In the maker’s words, at launch
Hey HN, A CSV parser using Go 1.26's experimental simd/archsimd package. I wanted to see what the new SIMD API looks like in practice. CSV parsing is mostly "find these bytes in a buffer"—load 64 bytes, compare, get a bitmask of positions. The interesting part was handling chunk boundaries correctly (quotes and line endings can split across chunks). - Drop-in replacement for encoding/csv - ~20% faster for unquoted data on AVX-512 - Quoted data is slower (still optimizing) - Scalar fallback for non-AVX-512 Requires GOEXPERIMENT=simd. https://github.com/nnnkkk7/go-simdcsv Feedback on edge cases or the SIMD implementation welcome.
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Hey HN! I've been building CSV editors for 15 years. This is my third rewrite, and I think I finally got it right. Key features: - Excel-like operation for intuitive use - Equipped with basic to advanced tools necessary for handling CSV - Supports various formats and character encodings. Can handle CSVs with different column counts - Cross-platform (Windows/Mac, Linux coming soon) - Opens 100MB files in 1.6 seconds (12x faster than Excel) Tech stack: Tauri (Rust + React/TypeScript/TailwindCSS) Would love feedback from anyone dealing with large datasets daily! Website:…
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