unixpickle / learn-ptxLinks
Learning about CUDA by writing PTX code.
☆147Updated last year
Alternatives and similar repositories for learn-ptx
Users that are interested in learn-ptx are comparing it to the libraries listed below
Sorting:
- Quantized LLM training in pure CUDA/C++.☆215Updated this week
- PTX-Tutorial Written Purely By AIs (Deep Research of Openai and Claude 3.7)☆66Updated 7 months ago
- High-Performance SGEMM on CUDA devices☆110Updated 9 months ago
- Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!☆140Updated this week
- Small scale distributed training of sequential deep learning models, built on Numpy and MPI.☆148Updated 2 years ago
- Simple MPI implementation for prototyping or learning☆287Updated 3 months ago
- ☆177Updated last year
- A repository to unravel the language of GPUs, making their kernel conversations easy to understand☆195Updated 5 months ago
- Write a fast kernel and run it on Discord. See how you compare against the best!☆61Updated this week
- Hand-Rolled GPU communications library☆58Updated this week
- Learn CUDA with PyTorch☆104Updated last week
- An implementation of the transformer architecture onto an Nvidia CUDA kernel☆195Updated 2 years ago
- LLM training in simple, raw C/CUDA☆108Updated last year
- ☆247Updated this week
- A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS☆242Updated 6 months ago
- ☆89Updated last year
- A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.☆428Updated 8 months ago
- pytorch from scratch in pure C/CUDA and python☆41Updated last year
- coding CUDA everyday!☆69Updated this week
- Custom PTX Instruction Benchmark☆132Updated 8 months ago
- Alex Krizhevsky's original code from Google Code☆198Updated 9 years ago
- ring-attention experiments☆155Updated last year
- Step by step implementation of a fast softmax kernel in CUDA☆54Updated 10 months ago
- ☆81Updated this week
- in this repository, i'm going to implement increasingly complex llm inference optimizations☆70Updated 5 months ago
- Nvidia Instruction Set Specification Generator☆298Updated last year
- A really tiny autograd engine☆97Updated 5 months ago
- Multi-Threaded FP32 Matrix Multiplication on x86 CPUs☆367Updated 6 months ago
- Learnings and programs related to CUDA☆423Updated 4 months ago
- Competitive GPU kernel optimization platform.☆134Updated this week