Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!
☆226Mar 18, 2026Updated this week
Alternatives and similar repositories for reference-kernels
Users that are interested in reference-kernels are comparing it to the libraries listed below
Sorting:
- ☆121Updated this week
- Row-wise block scaling for fp8 quantization matrix multiplication. Solution to GPU mode AMD challenge.☆18Feb 9, 2026Updated last month
- ☆18Jun 6, 2025Updated 9 months ago
- Persistent dense gemm for Hopper in `CuTeDSL`☆15Aug 9, 2025Updated 7 months ago
- Write a fast kernel and see how you compare against the best humans and AI on gpumode.com☆88Updated this week
- This repository contains companion software for the Colfax Research paper "Categorical Foundations for CuTe Layouts".☆118Sep 24, 2025Updated 5 months ago
- Step by step implementation of a fast softmax kernel in CUDA☆62Jan 6, 2025Updated last year
- Cataloging released Triton kernels.☆298Sep 9, 2025Updated 6 months ago
- ☆18Dec 2, 2024Updated last year
- Quantized LLM training in pure CUDA/C++.☆241Mar 6, 2026Updated 2 weeks ago
- GPU programming related news and material links☆2,047Mar 8, 2026Updated last week
- KernelBench: Can LLMs Write GPU Kernels? - Benchmark + Toolkit with Torch -> CUDA (+ more DSLs)☆869Mar 9, 2026Updated last week
- Wave: Python Domain-Specific Language for High Performance Machine Learning☆48Updated this week
- Personal solutions to the Triton Puzzles☆20Jul 18, 2024Updated last year
- High Performance FP8 GEMM Kernels for SM89 and later GPUs.☆20Jan 24, 2025Updated last year
- It is an LLM-based AI agent, which can write correct and efficient gpu kernels automatically.☆78Updated this week
- Attention in SRAM on Tenstorrent Grayskull☆39Jul 18, 2024Updated last year
- ☆23Jul 11, 2025Updated 8 months ago
- ☆12Dec 22, 2024Updated last year
- A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.☆466Mar 10, 2025Updated last year
- Super fast FP32 matrix multiplication on RDNA3☆87Mar 30, 2025Updated 11 months ago
- KsanaDiT: High-Performance DiT (Diffusion Transformer) Inference Framework for Video & Image Generation☆46Mar 6, 2026Updated 2 weeks ago
- FlashInfer Bench @ MLSys 2026: Building AI agents to write high performance GPU kernels☆150Mar 13, 2026Updated last week
- run tinygrad kernels on esp32☆13Nov 28, 2023Updated 2 years ago
- Fast CUDA matrix multiplication from scratch☆1,088Sep 2, 2025Updated 6 months ago
- Tutorial Exercises and Code for GPU Communications Tutorial at HOT Interconnects 2025☆31Oct 22, 2025Updated 4 months ago
- Ship correct and fast LLM kernels to PyTorch☆145Jan 14, 2026Updated 2 months ago
- AI Tensor Engine for ROCm☆385Updated this week
- AMD-SHARK Inference Modeling and Serving☆61Updated this week
- Fastest kernels written from scratch☆559Sep 18, 2025Updated 6 months ago
- A Quirky Assortment of CuTe Kernels☆861Updated this week
- DeeperGEMM: crazy optimized version☆75May 5, 2025Updated 10 months ago
- Material for gpu-mode lectures☆5,841Feb 1, 2026Updated last month
- MSLK (Meta Superintelligence Labs Kernels) is a collection of PyTorch GPU operator libraries that are designed and optimized for GenAI tr…☆71Updated this week
- Talks I gave over the years as PDF.☆21Mar 10, 2026Updated last week
- CASS: Nvidia to AMD Transpilation with Data, Models, and Benchmark☆34Jun 24, 2025Updated 8 months ago
- Fast and Furious AMD Kernels☆378Mar 10, 2026Updated last week
- A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS☆253May 6, 2025Updated 10 months ago
- ☆12Jul 24, 2024Updated last year