⚡ Z3 Optimization

Constraint Programming, SMT Integration, Performance Verification, Automated Reasoning

Travels, 10
cameroncounts.wordpress.com·3h
🎯Performance Proofs
Introduction to CUDA Programming With GPU Puzzles
henryhmko.github.io·2d
⚡SIMD Vectorization
The Ultimate Guide: Which AI Coding Model Should You Use
dev.to·12h·
Discuss: DEV
🧮SMT Solvers
🧠 Solving LeetCode Until I Become Top 1% — Day `30`
dev.to·10h·
Discuss: DEV
📐Error Bounds
Programming by Backprop: LLMs Acquire Reusable Algorithmic Abstractions During Code Training
arxiv.org·1d
💻Local LLMs
Introducing ZMatrix: High-Performance Tensor Operations for PHP
dev.to·18h·
Discuss: DEV
⚡SIMD Vectorization
In which I write a library-quality B+ tree with the genies
tidyfirst.substack.com·3h·
Discuss: Substack
🦀Rust Macros
4-input 2-output Boolean circuits (2020)
cp4space.hatsya.com·1d·
Discuss: Hacker News
⚙️Logic Synthesis
Deep Dive into Databend UDF, implementing your data solutions with Python, WASM
databend.com·4h·
Discuss: Hacker News
📋DFDL
Step-Opt: Boosting Optimization Modeling in LLMs through Iterative Data Synthesis and Structured Validation
arxiv.org·1d
💻Local LLMs
Compbolt: A lib with a hard to misuse API (based on Matt Godbolt)
github.com·9h·
Discuss: Hacker News
🌀Brotli Internals
Machine Learning Fundamentals: accuracy with python
dev.to·1d·
Discuss: DEV
👁️Observatory Systems
Patterns for Compounding the Value of LLM interactions
spin.atomicobject.com·6h·
Discuss: Hacker News
🔗Constraint Handling
Building a Go Concurrency Task Scheduler: Efficient Task Processing Unleashed
dev.to·17h·
Discuss: DEV
🌊Stream Processing
CODS : A Theoretical Model for Computational Design Based on Design Space
arxiv.org·1d
🛠Language Design
A Lisp adventure on the calm waters of the dead C (2021)
mihaiolteanu.me·1d·
Discuss: Lobsters, Hacker News, r/programming
🔗Lisp
Memory Safety in Web Rust System Zero Cost Secure（1750762127113200）
dev.to·1d·
Discuss: DEV
🦀Rust Borrowing
Confucius3-Math: A Lightweight High-Performance Reasoning LLM for Chinese K-12 Mathematics Learning
arxiv.org·1d
🧮SMT Solvers
Flame Graph Performance Truth Analysis（1750839255230100）
dev.to·10h·
Discuss: DEV
⚡Performance Tools
Plan for Speed -- Dilated Scheduling for Masked Diffusion Language Models
arxiv.org·14h
💻Local LLMs