NVIDIA / cutlassLinks
CUDA Templates and Python DSLs for High-Performance Linear Algebra
☆8,705Updated this week
Alternatives and similar repositories for cutlass
Users that are interested in cutlass are comparing it to the libraries listed below
Sorting:
- Optimized primitives for collective multi-GPU communication☆4,182Updated 2 weeks ago
- A machine learning compiler for GPUs, CPUs, and ML accelerators☆3,633Updated this week
- CUDA Library Samples☆2,154Updated this week
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper, Ada and Bla…☆2,860Updated this week
- CUDA Core Compute Libraries☆1,998Updated this week
- Development repository for the Triton language and compiler☆17,392Updated this week
- Transformer related optimization, including BERT, GPT☆6,338Updated last year
- Samples for CUDA Developers which demonstrates features in CUDA Toolkit☆8,335Updated last month
- Tile primitives for speedy kernels☆2,859Updated last week
- FlashInfer: Kernel Library for LLM Serving☆3,982Updated this week
- Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels☆3,743Updated this week
- [ARCHIVED] Cooperative primitives for CUDA C++. See https://github.com/NVIDIA/cccl☆1,800Updated 2 years ago
- A retargetable MLIR-based machine learning compiler and runtime toolkit.☆3,438Updated this week
- CUDA Python: Performance meets Productivity☆3,015Updated 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…☆12,008Updated this week
- how to optimize some algorithm in cuda.☆2,575Updated last week
- The Triton Inference Server provides an optimized cloud and edge inferencing solution.☆9,938Updated this week
- A PyTorch native platform for training generative AI models☆4,604Updated this week
- FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/☆1,468Updated this week
- The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.☆1,665Updated this week
- PyTorch native quantization and sparsity for training and inference☆2,464Updated this week
- Open deep learning compiler stack for cpu, gpu and specialized accelerators☆12,776Updated this week
- ☆1,936Updated 2 years ago
- NCCL Tests☆1,313Updated 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…☆1,173Updated 2 years ago
- Fast CUDA matrix multiplication from scratch☆917Updated 2 months ago
- Mirage Persistent Kernel: Compiling LLMs into a MegaKernel☆1,911Updated last week
- Ongoing research training transformer models at scale☆13,976Updated this week
- Learn CUDA Programming, published by Packt☆1,207Updated last year
- PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT☆2,876Updated this week