惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

WordPress大学
WordPress大学
Vercel News
Vercel News
博客园_首页
Y
Y Combinator Blog
美团技术团队
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
阮一峰的网络日志
阮一峰的网络日志
aimingoo的专栏
aimingoo的专栏
H
Hackread – Cybersecurity News, Data Breaches, AI and More
MyScale Blog
MyScale Blog
GbyAI
GbyAI
人人都是产品经理
人人都是产品经理
T
Tailwind CSS Blog
MongoDB | Blog
MongoDB | Blog
D
DataBreaches.Net
博客园 - Franky
Engineering at Meta
Engineering at Meta
量子位
The GitHub Blog
The GitHub Blog
F
Fortinet All Blogs
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
酷 壳 – CoolShell
酷 壳 – CoolShell
N
Netflix TechBlog - Medium

Hacker News: Show HN

PurrrrrFocus: Pomodoro Timer App - App Store Workflow Engine — Multi-Step Orchestration for Bun RapidPhoto: Pro Photo Editor App - App Store GitHub - DheerG/swarms: Achieve extraordinary results with claude code across a variety of tasks SPICE simulation → oscilloscope → verification with Claude Code — Lucas Gerads Show HN: VCoding – A 5 MB native Windows IDE with no dynamic dependencies Show HN: LLMs don't hallucinate because they're bad at math, it's the format GitHub - Agent-FM/agentfm-core: AgentFM is a peer-to-peer network that turns everyday computers into a decentralized AI supercomputer. AgentFM lets you run massive AI workloads directly across a global mesh of idle CPUs and GPUs. Show HN: Tracking Top US Science Olympiad Alumni over Last 25 Years GitHub - Potarix/agent-hub: One place to talk to all your agents Show HN: Runtime security for AI agents(injection,tool abuse, data exfiltration) GitHub - dubeyKartikay/lazyspotify: Terminal Spotify client for macOS and Linux GitHub - the-banana-tool/king-louie: Easy to use GUI Personal AI Assistant. Win/Linux/Mac. Show HN I made my vacation rental bookable by AI agents–no Airbnb, 0% commission GitHub - basteez/jsf-autoreload: maven plugin to enable hot reload on jsf projects uvm32/hosts/host-gdbstub at main · ringtailsoftware/uvm32 GitHub - labsai/EDDI: Config-driven engine that turns JSON into production-grade AI agents. Multi-agent orchestration, 12+ LLM providers, MCP/A2A protocols, RAG, persistent memory, and enterprise compliance (EU AI Act, GDPR, HIPAA). Built on Quarkus. GitHub - glitchnsec/fortyone-oss: AI Executive Assistant Platform Quickstart | Alien GitHub - muxshed/shed: One stream in, or many. Every destination, simultaneously. No cloud middleman, no per-channel fees, no limits. GitHub - ocrbase-hq/ocrbase: 📄 PDF/IMG ->.MD/JSON Document OCR API for PaddleOCR and GLMOCR. Self-hostable. GitHub - impactjo/home-memory: MCP server that lets your AI assistant remember everything about your home. GitHub - Sets88/dbcls: DbCls is a powerful terminal database client that supports various databases GitHub - neptun2000/heor-agent-mcp GitHub - SeanFDZ/macmind: Single-layer transformer in HyperTalk for the classic Macintosh RollQuation: Math Puzzles - Apps on Google Play GitHub - dropbox/witchcraft Show HN: Agent-cache – Multi-tier LLM/tool/session caching for Valkey and Redis GitHub - opentalon/opentalon: OpenTalon is an open-source platform built from the ground up in Go as a robust alternative to OpenClaw LinkedIn™ 职位抓取工具 - Chrome 应用商店
GitHub - dogmaticdev/SIMD-Tokenizer: A Hyper Optimzed Tok...
dogmaticdev · 2026-04-26 · via Hacker News: Show HN

Folders and files

NameName

Last commit message

Last commit date

Latest commit

History

5 Commits

Assembly Tokenizer that can parse more than 1 gigabytes of ascii per second.
I didn't bother making a multi-threaded version, because this is already like 10-50 times faster than everything else.

More specifically, it takes inputted text, removes whitespace, and seperates strings with a null terminator.

stats:
10448 bytes in 11302 nano seconds
10448 ÷ 0.000011302 = 923620933.5 bytes, or 923mb/s

31346 bytes in 32241 nano seconds 
31346 ÷ 0.000032241 = 972240315.1 bytes, or 972mb/s

These stats are taken from my Ryzen 7 3700X 8-core processor that I got off ebay for like 60 bucks.
As you can probably notice there is a very obvious increase in its speed, and it will most certainly cross 1gb/s or one byte per nano second. If pushed to such extents.

It currently only works on linux, I won't be updating it any time soon.

To build get nasm and run:
nasm -f elf64 tokenizer.asm -o tokenizer.o && ld tokenizer.o -o tokenizer

to use:
./tokenizer input.txt output.txt

There are no plans to create proper documentation or make this accesible to your language of choice.
Not unless, you wish to do that, or sponsor me to.

I made this for the programming language I am making, so I may only come back to it in a while.