Alternatives and similar repositories for cutlass-kernels

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

• ColfaxResearch / cfx-article-src
  ☆135Updated 3 months ago
• KnowingNothing / MatmulTutorial
  A Easy-to-understand TensorOp Matmul Tutorial
  ☆374Updated 11 months ago
• yifuwang / symm-mem-recipes
  ☆109Updated 8 months ago
• pranjalssh / fast.cu
  Fastest kernels written from scratch
  ☆316Updated 4 months ago
• meta-pytorch / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆207Updated this week
• DD-DuDa / Cute-Learning
  Examples of CUDA implementations by Cutlass CuTe
  ☆219Updated last month
• Dao-AILab / quack
  A Quirky Assortment of CuTe Kernels
  ☆411Updated this week
• FlagOpen / FlagAttention
  A collection of memory efficient attention operators implemented in the Triton language.
  ☆278Updated last year
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆113Updated last year
• reed-lau / cute-gemm
  ☆130Updated 8 months ago
• meta-pytorch / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆291Updated this week
• CalebDu / Awesome-Cute
  ☆100Updated 3 months ago
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆261Updated last month
• leimao / CUDA-GEMM-Optimization
  CUDA Matrix Multiplication Optimization
  ☆217Updated last year
• AlibabaPAI / FLASHNN
  ☆98Updated 11 months ago
• TiledTensor / TiledCUDA
  We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …
  ☆183Updated 7 months ago
• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆110Updated 2 months ago
• microsoft / triton-shared
  Shared Middle-Layer for Triton Compilation
  ☆273Updated this week
• Deep-Learning-Profiling-Tools / triton-viz
  ☆232Updated last week
• 66RING / tiny-flash-attention
  flash attention tutorial written in python, triton, cuda, cutlass
  ☆408Updated 3 months ago
• triton-lang / kernels
  ☆88Updated 9 months ago
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆252Updated 7 months ago
• NVIDIA / online-softmax
  Benchmark code for the "Online normalizer calculation for softmax" paper
  ☆98Updated 7 years ago
• infinigence / FlashOverlap
  A lightweight design for computation-communication overlap.
  ☆157Updated last week
• facebookexperimental / triton
  Github mirror of trition-lang/triton repo.
  ☆52Updated this week
• 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…
  ☆460Updated 11 months ago
• microsoft / SparTA
  ☆150Updated last year
• leimao / CUTLASS-Examples
  CUTLASS and CuTe Examples
  ☆72Updated last month
• 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.
  ☆40Updated 6 months ago
• Bruce-Lee-LY / cuda_hgemv
  Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.
  ☆64Updated 11 months ago