Alternatives and similar repositories for cutlass-kernels:

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

• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆102Updated 8 months ago
• KnowingNothing / MatmulTutorial
  A Easy-to-understand TensorOp Matmul Tutorial
  ☆332Updated 6 months ago
• ColfaxResearch / cfx-article-src
  ☆90Updated 3 weeks ago
• yifuwang / symm-mem-recipes
  ☆60Updated 3 months ago
• pytorch-labs / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆251Updated last week
• TiledTensor / TiledCUDA
  We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …
  ☆180Updated 2 months ago
• AlibabaPAI / FLASHNN
  ☆90Updated 6 months ago
• pranjalssh / fast.cu
  Fastest kernels written from scratch
  ☆205Updated 3 weeks ago
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆242Updated 5 months ago
• triton-lang / kernels
  ☆73Updated 4 months ago
• reed-lau / cute-gemm
  ☆112Updated 3 months ago
• Bruce-Lee-LY / cuda_hgemv
  Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.
  ☆59Updated 6 months ago
• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆77Updated 5 months ago
• leimao / CUDA-GEMM-Optimization
  CUDA Matrix Multiplication Optimization
  ☆177Updated 8 months ago
• Bruce-Lee-LY / flash_attention_inference
  Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.
  ☆35Updated last month
• NVIDIA / online-softmax
  Benchmark code for the "Online normalizer calculation for softmax" paper
  ☆85Updated 6 years ago
• Deep-Learning-Profiling-Tools / triton-viz
  ☆192Updated this week
• 66RING / tiny-flash-attention
  flash attention tutorial written in python, triton, cuda, cutlass
  ☆308Updated 2 months ago
• FlagOpen / FlagAttention
  A collection of memory efficient attention operators implemented in the Triton language.
  ☆257Updated 9 months ago
• DD-DuDa / Cute-Learning
  Examples of CUDA implementations by Cutlass CuTe
  ☆148Updated 2 months ago
• luliyucoordinate / cute-flash-attention
  Implement Flash Attention using Cute.
  ☆74Updated 3 months ago
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆272Updated last week
• microsoft / vattention
  Dynamic Memory Management for Serving LLMs without PagedAttention
  ☆333Updated last week
• cchan / tccl
  extensible collectives library in triton
  ☆84Updated 6 months ago
• Bruce-Lee-LY / cuda_hgemm
  Several optimization methods of half-precision general matrix multiplication (HGEMM) using tensor core with WMMA API and MMA PTX instruct…
  ☆374Updated 6 months ago
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆212Updated 2 months ago
• microsoft / triton-shared
  Shared Middle-Layer for Triton Compilation
  ☆236Updated this week
• wangzyon / NVIDIA_SGEMM_PRACTICE
  Step-by-step optimization of CUDA SGEMM
  ☆294Updated 3 years ago
• tlc-pack / libflash_attn
  Standalone Flash Attention v2 kernel without libtorch dependency
  ☆108Updated 6 months ago
• ankan-ban / llama_cu_awq
  llama INT4 cuda inference with AWQ
  ☆53Updated 2 months ago