rkinas / triton-resourcesLinks
A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
☆451Updated 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☆195Updated 7 months ago
- A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS☆247Updated 8 months ago
- Learn CUDA with PyTorch☆168Updated 3 weeks ago
- GPU Kernels☆218Updated 8 months ago
- ☆233Updated last year
- Learnings and programs related to CUDA☆432Updated 6 months ago
- This repository is a curated collection of resources, tutorials, and practical examples designed to guide you through the journey of mast…☆432Updated 10 months ago
- 100 days of building GPU kernels!☆561Updated 8 months ago
- ☆409Updated 9 months ago
- Cataloging released Triton kernels.☆282Updated 4 months ago
- A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.☆592Updated 5 months ago
- coding CUDA everyday!☆72Updated last month
- An ML Systems Onboarding list☆964Updated 11 months ago
- making the official triton tutorials actually comprehensible☆93Updated 4 months ago
- Fast low-bit matmul kernels in Triton☆418Updated 3 weeks ago
- Small scale distributed training of sequential deep learning models, built on Numpy and MPI.☆154Updated 2 years ago
- ☆178Updated last year
- Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!☆188Updated 3 weeks ago
- Complete solutions to the Programming Massively Parallel Processors Edition 4☆630Updated 6 months ago
- FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.☆328Updated 2 months ago
- Best practices & guides on how to write distributed pytorch training code☆562Updated 2 months ago
- Simple MPI implementation for prototyping or learning☆299Updated 5 months ago
- Quantized LLM training in pure CUDA/C++.☆230Updated last week
- Fastest kernels written from scratch☆517Updated 3 months ago
- ☆538Updated 5 months ago
- UNet diffusion model in pure CUDA☆659Updated last year
- ☆128Updated 2 months ago
- KernelBench: Can LLMs Write GPU Kernels? - Benchmark + Toolkit with Torch -> CUDA (+ more DSLs)☆748Updated this week
- Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs☆807Updated this week
- Learning about CUDA by writing PTX code.☆151Updated last year