rkinas / triton-resourcesLinks
A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
☆457Updated 10 months ago
Alternatives and similar repositories for triton-resources
Users that are interested in triton-resources are comparing it to the libraries listed below
Sorting:
- A repository to unravel the language of GPUs, making their kernel conversations easy to understand☆197Updated 8 months ago
- GPU Kernels☆218Updated 9 months ago
- A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS☆249Updated 8 months ago
- 100 days of building GPU kernels!☆568Updated 9 months ago
- Learn CUDA with PyTorch☆185Updated last week
- Learnings and programs related to CUDA☆431Updated 7 months ago
- ☆234Updated last year
- ☆412Updated 9 months ago
- This repository is a curated collection of resources, tutorials, and practical examples designed to guide you through the journey of mast…☆435Updated 11 months ago
- An ML Systems Onboarding list☆977Updated last year
- Cataloging released Triton kernels.☆291Updated 4 months ago
- Complete solutions to the Programming Massively Parallel Processors Edition 4☆647Updated 7 months ago
- A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.☆596Updated 5 months ago
- ☆178Updated last year
- Simple MPI implementation for prototyping or learning☆300Updated 5 months ago
- Small scale distributed training of sequential deep learning models, built on Numpy and MPI.☆155Updated 2 years ago
- making the official triton tutorials actually comprehensible☆104Updated 5 months ago
- Fastest kernels written from scratch☆528Updated 4 months ago
- coding CUDA everyday!☆73Updated this week
- Fast low-bit matmul kernels in Triton☆424Updated this week
- Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!☆200Updated this week
- Best practices & guides on how to write distributed pytorch training code☆571Updated 3 months ago
- UNet diffusion model in pure CUDA☆662Updated last year
- FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.☆334Updated 3 months ago
- Learning about CUDA by writing PTX code.☆151Updated last year
- A curriculum for learning about gpu performance engineering, from scratch to what the frontier AI labs do☆301Updated 2 weeks ago
- ☆277Updated this week
- ☆211Updated last year
- An extension of the nanoGPT repository for training small MOE models.☆233Updated 10 months ago
- Quantized LLM training in pure CUDA/C++.☆233Updated last week