A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
☆253May 6, 2025Updated 9 months ago
Alternatives and similar repositories for CutlassAcademy
Users that are interested in CutlassAcademy are comparing it to the libraries listed below
Sorting:
- A repository to unravel the language of GPUs, making their kernel conversations easy to understand☆201Jun 1, 2025Updated 9 months ago
- TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.☆106Jun 28, 2025Updated 8 months ago
- Fast low-bit matmul kernels in Triton☆433Feb 1, 2026Updated last month
- PTX-Tutorial Written Purely By AIs (Deep Research of Openai and Claude 3.7)☆66Mar 24, 2025Updated 11 months ago
- ☆22May 5, 2025Updated 9 months ago
- ☆262Jul 11, 2024Updated last year
- 使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention☆79Aug 12, 2024Updated last year
- Cute layout visualization☆30Jan 18, 2026Updated last month
- From Minimal GEMM to Everything☆163Feb 10, 2026Updated 3 weeks ago
- Examples of CUDA implementations by Cutlass CuTe☆269Jul 1, 2025Updated 8 months ago
- DeeperGEMM: crazy optimized version☆74May 5, 2025Updated 9 months ago
- Applied AI experiments and examples for PyTorch☆319Aug 22, 2025Updated 6 months ago
- CUDA 8-bit Tensor Core Matrix Multiplication based on m16n16k16 WMMA API☆35Sep 15, 2023Updated 2 years ago
- ☆14Nov 3, 2025Updated 4 months ago
- Benchmark tests supporting the TiledCUDA library.☆18Nov 19, 2024Updated last year
- flash attention tutorial written in python, triton, cuda, cutlass☆488Jan 20, 2026Updated last month
- ☆116May 16, 2025Updated 9 months ago
- A Quirky Assortment of CuTe Kernels☆838Updated this week
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆327Updated this week
- ☆21Aug 14, 2024Updated last year
- ☆49Apr 15, 2024Updated last year
- Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels☆5,284Updated this week
- Tile primitives for speedy kernels☆3,202Feb 24, 2026Updated last week
- CUTLASS and CuTe Examples☆132Nov 30, 2025Updated 3 months ago
- Learning about CUDA by writing PTX code.☆153Feb 27, 2024Updated 2 years ago
- torch.compile artifacts for common deep learning models, can be used as a learning resource for torch.compile☆19Dec 22, 2023Updated 2 years ago
- ☆85Jan 23, 2025Updated last year
- A safetensors extension to efficiently store sparse quantized tensors on disk☆256Updated this week
- An implementation of the Llama architecture, to instruct and delight☆21May 31, 2025Updated 9 months ago
- ☆20Dec 24, 2024Updated last year
- GPU programming related news and material links☆2,010Sep 17, 2025Updated 5 months ago
- Optimizing SGEMM kernel functions on NVIDIA GPUs to a close-to-cuBLAS performance.☆407Jan 2, 2025Updated last year
- Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.☆73Sep 8, 2024Updated last year
- Fastest kernels written from scratch☆550Sep 18, 2025Updated 5 months ago
- NVSHMEM‑Tutorial: Build a DeepEP‑like GPU Buffer☆163Feb 11, 2026Updated 3 weeks ago
- Flash Attention in ~100 lines of CUDA (forward pass only)☆1,084Dec 30, 2024Updated last year
- Distributed Compiler based on Triton for Parallel Systems☆1,371Feb 13, 2026Updated 2 weeks ago
- ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.☆147May 10, 2025Updated 9 months ago
- CUDA Templates and Python DSLs for High-Performance Linear Algebra☆9,348Updated this week