Alternatives and similar repositories for eigenMHA:

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

• Bruce-Lee-LY / cuda_hgemv
  Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.
  ☆58Updated 6 months ago
• zeroine / cutlass-cute-sample
  ☆29Updated 11 months ago
• leimao / CUDA-GEMM-Optimization
  CUDA Matrix Multiplication Optimization
  ☆177Updated 8 months ago
• reed-lau / cute-gemm
  ☆112Updated 3 months ago
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆102Updated 8 months ago
• NVIDIA / online-softmax
  Benchmark code for the "Online normalizer calculation for softmax" paper
  ☆85Updated 6 years ago
• ColfaxResearch / cutlass-kernels
  ☆193Updated 8 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 …
  ☆179Updated 2 months ago
• gty111 / GEMM_MMA
  Optimize GEMM with tensorcore step by step
  ☆24Updated last year
• nicolaswilde / cuda-sgemm
  ☆60Updated 2 months ago
• jundaf2 / CUDA-INT8-GEMM
  CUDA 8-bit Tensor Core Matrix Multiplication based on m16n16k16 WMMA API
  ☆28Updated last year
• LeiWang1999 / tvm_gpu_gemm
  play gemm with tvm
  ☆89Updated last year
• MARD1NO / CUDA-PPT
  ☆87Updated last year
• UDC-GAC / openCNN
  A Winograd Minimal Filter Implementation in CUDA
  ☆24Updated 3 years ago
• DD-DuDa / Cute-Learning
  Examples of CUDA implementations by Cutlass CuTe
  ☆148Updated last month
• 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
• Qwesh157 / conv_op_optimization
  This project is about convolution operator optimization on GPU, include GEMM based (Implicit GEMM) convolution.
  ☆28Updated 3 months ago
• wmmae / wmma_extension
  An extension library of WMMA API (Tensor Core API)
  ☆93Updated 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
• ColfaxResearch / cfx-article-src
  ☆90Updated 3 weeks ago
• wzsh / wmma_tensorcore_sample
  Matrix Multiply-Accumulate with CUDA and WMMA( Tensor Core)
  ☆127Updated 4 years ago
• sunlex0717 / DissectingTensorCores
  ☆92Updated 11 months ago
• yzhaiustc / Optimizing-SGEMV-on-NVIDIA-GPUs
  An implementation of SGEMV with performance comparable to cuBLAS.
  ☆9Updated 3 years ago
• KnowingNothing / MatmulTutorial
  A Easy-to-understand TensorOp Matmul Tutorial
  ☆332Updated 6 months ago
• CalvinXKY / BasicCUDA
  A tutorial for CUDA&PyTorch
  ☆131Updated 2 months ago
• yifuwang / symm-mem-recipes
  ☆60Updated 3 months ago
• FdyCN / PTX-ISA
  CUDA PTX-ISA Document 中文翻译版
  ☆37Updated 2 weeks ago
• nicolaswilde / cuda-tensorcore-hgemm
  ☆134Updated 3 months ago
• ShaYeBuHui01 / flash_attention_inference
  Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.
  ☆14Updated last year
• tlc-pack / libflash_attn
  Standalone Flash Attention v2 kernel without libtorch dependency
  ☆108Updated 6 months ago