rkinas / triton-resourcesLinks
A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
☆437Updated 8 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☆196Updated 6 months ago
- A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS☆244Updated 6 months ago
- 100 days of building GPU kernels!☆544Updated 7 months ago
- GPU Kernels☆209Updated 7 months ago
- Learnings and programs related to CUDA☆426Updated 5 months ago
- This repository is a curated collection of resources, tutorials, and practical examples designed to guide you through the journey of mast…☆419Updated 9 months ago
- ☆222Updated 11 months ago
- ☆398Updated 7 months ago
- making the official triton tutorials actually comprehensible☆75Updated 3 months ago
- Learn CUDA with PyTorch☆117Updated last week
- Cataloging released Triton kernels.☆274Updated 2 months ago
- ☆177Updated last year
- coding CUDA everyday!☆71Updated 2 weeks ago
- An ML Systems Onboarding list☆944Updated 10 months ago
- A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.☆584Updated 3 months ago
- Complete solutions to the Programming Massively Parallel Processors Edition 4☆589Updated 5 months ago
- Simple MPI implementation for prototyping or learning☆291Updated 3 months ago
- Fast low-bit matmul kernels in Triton☆401Updated last week
- KernelBench: Can LLMs Write GPU Kernels? - Benchmark with Torch -> CUDA (+ more DSLs)☆683Updated this week
- FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.☆313Updated last month
- Best practices & guides on how to write distributed pytorch training code☆543Updated last month
- ☆532Updated 3 months ago
- Small scale distributed training of sequential deep learning models, built on Numpy and MPI.☆151Updated 2 years ago
- Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!☆164Updated this week
- UNet diffusion model in pure CUDA☆655Updated last year
- Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs☆710Updated this week
- ☆224Updated last week
- ☆127Updated last month
- Quantized LLM training in pure CUDA/C++.☆220Updated this week
- Fastest kernels written from scratch☆400Updated 2 months ago