Alternatives and similar repositories for cutlass

Users that are interested in cutlass are comparing it to the libraries listed below

• NVIDIA / CUDALibrarySamples
  CUDA Library Samples
  ☆2,265Updated last week
• NVIDIA / TransformerEngine
  A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on H…
  ☆3,043Updated last week
• NVIDIA / nccl
  Optimized primitives for collective multi-GPU communication
  ☆4,337Updated last week
• flashinfer-ai / flashinfer
  FlashInfer: Kernel Library for LLM Serving
  ☆4,400Updated this week
• NVIDIA / cccl
  CUDA Core Compute Libraries
  ☆2,096Updated this week
• tile-ai / tilelang
  Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels
  ☆4,336Updated this week
• triton-lang / triton
  Development repository for the Triton language and compiler
  ☆17,981Updated this week
• NVIDIA / FasterTransformer
  Transformer related optimization, including BERT, GPT
  ☆6,376Updated last year
• NVIDIA / cuda-samples
  Samples for CUDA Developers which demonstrates features in CUDA Toolkit
  ☆8,637Updated 3 months ago
• openxla / xla
  A machine learning compiler for GPUs, CPUs, and ML accelerators
  ☆3,862Updated this week
• BBuf / how-to-optim-algorithm-in-cuda
  how to optimize some algorithm in cuda.
  ☆2,719Updated last week
• NVIDIA / cuda-python
  CUDA Python: Performance meets Productivity
  ☆3,116Updated this week
• HazyResearch / ThunderKittens
  Tile primitives for speedy kernels
  ☆3,028Updated 3 weeks ago
• NVIDIA / cub
  [ARCHIVED] Cooperative primitives for CUDA C++. See https://github.com/NVIDIA/cccl
  ☆1,812Updated 2 years ago
• iree-org / iree
  A retargetable MLIR-based machine learning compiler and runtime toolkit.
  ☆3,532Updated this week
• NVIDIA / TensorRT-LLM
  TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizat…
  ☆12,514Updated this week
• gpu-mode / lectures
  Material for gpu-mode lectures
  ☆5,476Updated 3 weeks ago
• NVIDIA / TensorRT
  NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source compone…
  ☆12,526Updated 3 weeks ago
• pytorch / ao
  PyTorch native quantization and sparsity for training and inference
  ☆2,601Updated this week
• pytorch / FBGEMM
  FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/
  ☆1,512Updated this week
• srush / Triton-Puzzles
  Puzzles for learning Triton
  ☆2,204Updated last year
• mirage-project / mirage
  Mirage Persistent Kernel: Compiling LLMs into a MegaKernel
  ☆2,015Updated last week
• Liu-xiandong / How_to_optimize_in_GPU
  This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several…
  ☆1,212Updated 2 years ago
• siboehm / SGEMM_CUDA
  Fast CUDA matrix multiplication from scratch
  ☆996Updated 4 months ago
• NVIDIA / Model-Optimizer
  A unified library of SOTA model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. It compresse…
  ☆1,744Updated this week
• PacktPublishing / Learn-CUDA-Programming
  Learn CUDA Programming, published by Packt
  ☆1,219Updated 2 years ago
• flame / how-to-optimize-gemm
  ☆1,971Updated 2 years ago
• llvm / torch-mlir
  The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.
  ☆1,707Updated last week
• merrymercy / awesome-tensor-compilers
  A list of awesome compiler projects and papers for tensor computation and deep learning.
  ☆2,703Updated last year
• Tony-Tan / CUDA_Freshman
  ☆2,654Updated last year