CUTLASS and CuTe Examples
☆135Nov 30, 2025Updated 5 months ago
Alternatives and similar repositories for CUTLASS-Examples
Users that are interested in CUTLASS-Examples are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- CUDA Matrix Multiplication Optimization☆270Jul 19, 2024Updated last year
- ☆266Jul 11, 2024Updated last year
- ☆189May 7, 2025Updated last year
- Examples of CUDA implementations by Cutlass CuTe☆274Jul 1, 2025Updated 10 months ago
- Implement Flash Attention using Cute.☆107Dec 17, 2024Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A practical way of learning Swizzle☆39Feb 3, 2025Updated last year
- ☆49Apr 15, 2024Updated 2 years ago
- ☆179May 11, 2026Updated last week
- ☆121May 16, 2025Updated last year
- Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.☆74Sep 8, 2024Updated last year
- GEMV implementation with CUTLASS☆21Aug 21, 2025Updated 9 months ago
- Benchmark tests supporting the TiledCUDA library.☆19Nov 19, 2024Updated last year
- ☆32Jul 2, 2025Updated 10 months ago
- Pytorch routines for (Ker)nel (Mac)hines☆12Oct 10, 2025Updated 7 months ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Several optimization methods of half-precision general matrix multiplication (HGEMM) using tensor core with WMMA API and MMA PTX instruct…☆544Sep 8, 2024Updated last year
- Standalone Flash Attention v2 kernel without libtorch dependency☆113Sep 10, 2024Updated last year
- Decoding Attention is specially optimized for MHA, MQA, GQA and MLA using CUDA core for the decoding stage of LLM inference.☆47Jun 11, 2025Updated 11 months ago
- A CUDA kernel for NHWC GroupNorm for PyTorch☆23Nov 15, 2024Updated last year
- flash attention tutorial written in python, triton, cuda, cutlass☆516Jan 20, 2026Updated 4 months ago
- study of cutlass☆22Nov 10, 2024Updated last year
- Flash Attention in ~100 lines of CUDA (forward pass only)☆12Jun 10, 2024Updated last year
- Example to build PyTorch CUDA extension using CMake (with pybind11 and scikit-build)☆12May 26, 2020Updated 5 years ago
- ☆33Feb 3, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- An experimental communicating attention kernel based on DeepEP.☆34Jul 29, 2025Updated 9 months ago
- ☆135Apr 16, 2026Updated last month
- ☆23Aug 14, 2024Updated last year
- A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer☆96Feb 20, 2026Updated 3 months ago
- A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS☆256May 6, 2025Updated last year
- We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …☆193Jan 28, 2025Updated last year
- ☆34Dec 10, 2025Updated 5 months ago
- 使用 CUDA C++ 实现的 llama 模型推理框架☆65Nov 8, 2024Updated last year
- Awesome code, projects, books, etc. related to CUDA☆35Mar 30, 2026Updated last month
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Quick and Self-Contained TensorRT Custom Plugin Implementation and Integration☆86May 26, 2025Updated 11 months ago
- A C++ port of karpathy/micrograd, a tiny scalar-valued autograd engine and a neural net library☆13Nov 24, 2023Updated 2 years ago
- Debug print operator for cudagraph debugging☆15Aug 2, 2024Updated last year
- A Easy-to-understand TensorOp Matmul Tutorial☆434Mar 5, 2026Updated 2 months ago
- Multiple GEMM operators are constructed with cutlass to support LLM inference.☆20Aug 3, 2025Updated 9 months ago
- 本仓库在OpenVINO推理框架下部署Nanodet检测算法,并重写预处理和后处理部分,具有超高性能!让你在Intel CPU平台上的检测速度起飞! 并基于NNCF和PPQ工具将模型量化(PTQ)至int8精度,推理速度更快!☆16Jun 14, 2023Updated 2 years ago
- ☆14Nov 3, 2025Updated 6 months ago