NVIDIA / cutlassLinks
CUDA Templates and Python DSLs for High-Performance Linear Algebra
☆8,950Updated 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☆17,794Updated this week
- A machine learning compiler for GPUs, CPUs, and ML accelerators☆3,794Updated this week
- Optimized primitives for collective multi-GPU communication☆4,289Updated last week
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on H…☆2,993Updated this week
- Tile primitives for speedy kernels☆2,994Updated this week
- CUDA Core Compute Libraries☆2,060Updated last week
- FlashInfer: Kernel Library for LLM Serving☆4,195Updated this week
- Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels☆4,113Updated this week
- CUDA Library Samples☆2,240Updated this week
- Transformer related optimization, including BERT, GPT☆6,365Updated last year
- A retargetable MLIR-based machine learning compiler and runtime toolkit.☆3,488Updated this week
- how to optimize some algorithm in cuda.☆2,674Updated last week
- Mirage Persistent Kernel: Compiling LLMs into a MegaKernel☆1,981Updated this week
- The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.☆1,688Updated last week
- Material for gpu-mode lectures☆5,411Updated this week
- ☆1,966Updated 2 years ago
- CUDA Python: Performance meets Productivity☆3,082Updated this week
- [ARCHIVED] Cooperative primitives for CUDA C++. See https://github.com/NVIDIA/cccl☆1,809Updated 2 years ago
- PyTorch native quantization and sparsity for training and inference☆2,560Updated this week
- TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizat…☆12,385Updated this week
- Samples for CUDA Developers which demonstrates features in CUDA Toolkit☆8,564Updated 3 months ago
- Puzzles for learning Triton☆2,153Updated last year
- FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/☆1,499Updated this week
- NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source compone…☆12,445Updated last week
- Fast CUDA matrix multiplication from scratch☆974Updated 3 months ago
- Open Machine Learning Compiler Framework☆12,908Updated this week
- AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (N…☆4,696Updated last month
- GPU programming related news and material links☆1,860Updated 2 months ago
- This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several…☆1,195Updated 2 years ago
- Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training☆1,849Updated this week