A General-purpose Task-parallel Programming System in C++
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Updated
Oct 15, 2026 - C++
A General-purpose Task-parallel Programming System in C++
Ecosystem of libraries and tools for writing and executing fast GPU code fully in Rust.
CUDA Core Compute Libraries
Sample codes for my CUDA programming book
Write Java. Run on GPUs. Fast.
Safe rust wrapper around CUDA toolkit
A self-learning tutorail for CUDA High Performance Programing.
A curated list of best cuda programming books
TinyChatEngine: On-Device LLM Inference Library
Thin, unified, C++-flavored wrappers for the CUDA APIs
LLM notes, including model inference, transformer model structure, and llm framework code analysis notes.
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models
GPU Engineering for AI Systems
Static suckless single batch CUDA-only qwen3-0.6B mini inference engine
A simple GPU hash table implemented in CUDA using lock free techniques
Comprehensive CUDA tutorials for Maths & ML with examples
This is an archive of materials produced for an introductory class on CUDA programming at Stanford University in 2010
μ-Cuda, COVER THE LAST MILE OF CUDA. With features: intellisense-friendly, structured launch, automatic cuda graph generation and updating.
Accelerated General (FP32) Matrix Multiplication from scratch in CUDA
OxiCUDA replaces the entire NVIDIA CUDA Toolkit software stack with type-safe, memory-safe Rust code.
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