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I built a CSV parser to try Go 1.26's new SIMD package

Details

External ID
46780384
Source
HN
Company
—
Product
I built a CSV parser to try Go 1.26's new SIMD package
Website domain
github.com
Launched
Jan. 27, 2026
Cohort
—
Upvotes
8
Upvotes percentile
0.41699604743083
Tags
—
Fetched at
Sept. 7, 2026, 9:25 p.m.
Updated at
Sept. 7, 2026, 9:25 p.m.

Description

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-512Requires GOEXPERIMENT=simd.https://github.com/nnnkkk7/go-simdcsvFeedback on edge cases or the SIMD implementation welcome.

Enrichment

Theme
niche developer utilities and toolchains
Vertical
Horizontal
Function
Dev tools
Audience
Developer
AI stance
Not AI
Project type
Hobby / open-source project
Normalized one-liner
csv parser with simd
Manually corrected
False

Could you build this?

No Implementing an ultra-low-level CSV parser using experimental hardware SIMD intrinsics requires deep systems programming and processor architecture knowledge.

What it would actually take: It requires hand-crafted vectorization algorithms using AVX-512/NEON intrinsics (via Go's experimental archsimd package) to process 64-byte chunks in parallel, manage bitmasks, and solve the carry-over problem for quoted strings and chunk boundaries. The developer needs deep expertise in low-level CPU instruction sets, cache alignment, and high-performance compiler-level optimizations.

Discussion

5 comments analyzed.

Competitors mentioned: Zig CSV parser, Rust SIMD CSV parser (csimdv-rs), C# SIMD CSV parser (Sep), simdjson

Concerns raised: 64-byte buffer degrades performance on some CPUs, CPU-specific tuning required for optimal results, SIMD/archsimd lacks CLMUL instruction support

Feature requests: Benchmark comparison with C# SIMD CSV parser, Field-based iteration option to avoid copying/dynamic allocation

Competitors

Other products that read as similar to this one — 55 launches clear the similarity bar, closest 8 shown.

Attention rank: #24 of 56 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 84 days after the earliest competitor.

Other launches for this product

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