CUDA Templates and Python DSLs for High-Performance Linear Algebra
☆9,315Updated this week
Alternatives and similar repositories for cutlass
Users that are interested in cutlass are comparing it to the libraries listed below
Sorting:
- Development repository for the Triton language and compiler☆18,460Updated this week
- FlashInfer: Kernel Library for LLM Serving☆5,009Updated this week
- Fast and memory-efficient exact attention☆22,361Updated this week
- Transformer related optimization, including BERT, GPT☆6,394Mar 27, 2024Updated last year
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on H…☆3,170Feb 21, 2026Updated last week
- Tile primitives for speedy kernels☆3,183Updated this week
- Samples for CUDA Developers which demonstrates features in CUDA Toolkit☆8,870Jan 6, 2026Updated last month
- CUDA Core Compute Libraries☆2,182Updated this week
- Optimized primitives for collective multi-GPU communication☆4,458Feb 12, 2026Updated 2 weeks ago
- [ARCHIVED] Cooperative primitives for CUDA C++. See https://github.com/NVIDIA/cccl☆1,820Oct 9, 2023Updated 2 years ago
- TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizat…☆12,938Updated this week
- Open Machine Learning Compiler Framework☆13,142Updated this week
- DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling☆6,185Feb 3, 2026Updated 3 weeks ago
- Ongoing research training transformer models at scale☆15,242Updated this week
- 📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉☆9,693Feb 13, 2026Updated 2 weeks ago
- NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source compone…☆12,702Feb 13, 2026Updated 2 weeks ago
- CUDA Library Samples☆2,324Updated this week
- how to optimize some algorithm in cuda.☆2,820Feb 15, 2026Updated last week
- Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels☆5,236Feb 20, 2026Updated last week
- Material for gpu-mode lectures☆5,773Feb 1, 2026Updated 3 weeks ago
- SGLang is a high-performance serving framework for large language models and multimodal models.☆23,658Updated this week
- Distributed Compiler based on Triton for Parallel Systems☆1,361Feb 13, 2026Updated 2 weeks ago
- A fast communication-overlapping library for tensor/expert parallelism on GPUs.☆1,250Aug 28, 2025Updated 5 months ago
- A list of awesome compiler projects and papers for tensor computation and deep learning.☆2,731Oct 19, 2024Updated last year
- FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/☆1,534Updated this week
- The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.☆1,754Updated this week
- A machine learning compiler for GPUs, CPUs, and ML accelerators☆4,007Updated this week
- ☆1,992Jul 29, 2023Updated 2 years ago
- CUDA Kernel Benchmarking Library☆814Feb 20, 2026Updated last week
- DeepEP: an efficient expert-parallel communication library☆8,993Feb 9, 2026Updated 2 weeks ago
- A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.☆1,006Sep 19, 2024Updated last year
- FlashMLA: Efficient Multi-head Latent Attention Kernels☆12,497Feb 6, 2026Updated 3 weeks ago
- Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.☆4,795Updated this week
- This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several…☆1,239Jul 29, 2023Updated 2 years ago
- AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (N…☆4,706Jan 12, 2026Updated last month
- DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.☆41,648Updated this week
- A retargetable MLIR-based machine learning compiler and runtime toolkit.☆3,614Updated this week
- Mirage Persistent Kernel: Compiling LLMs into a MegaKernel☆2,141Feb 19, 2026Updated last week
- [ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl☆4,998Feb 8, 2024Updated 2 years ago