Alternatives and similar repositories for pytorch_custom_op

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

• microsoft / TileFusion
  TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.
  ☆90Updated 2 weeks ago
• sunlex0717 / DissectingTensorCores
  ☆98Updated last year
• 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 4 months ago
• yifuwang / symm-mem-recipes
  ☆90Updated 5 months ago
• xlite-dev / HGEMM
  ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.
  ☆80Updated last month
• wmmae / wmma_extension
  An extension library of WMMA API (Tensor Core API)
  ☆99Updated 11 months ago
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆109Updated 11 months ago
• openxla / shardy
  MLIR-based partitioning system
  ☆91Updated this week
• iree-org / iree-nvgpu
  ☆50Updated last year
• cchan / tccl
  extensible collectives library in triton
  ☆86Updated 2 months ago
• HPMLL / NVIDIA-Hopper-Benchmark
  ☆43Updated 3 weeks ago
• uwsampl / SparseTIR
  SparseTIR: Sparse Tensor Compiler for Deep Learning
  ☆138Updated 2 years ago
• tlc-pack / cutlass_fpA_intB_gemm
  A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer
  ☆92Updated 3 weeks ago
• pytorch-labs / triton-cpu
  An experimental CPU backend for Triton (https//github.com/openai/triton)
  ☆43Updated 3 months ago
• Bruce-Lee-LY / cuda_hgemv
  Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.
  ☆62Updated 9 months ago
• tlc-pack / libflash_attn
  Standalone Flash Attention v2 kernel without libtorch dependency
  ☆110Updated 9 months ago
• UDC-GAC / venom
  A Vectorized N:M Format for Unleashing the Power of Sparse Tensor Cores
  ☆51Updated last year
• apuaaChen / EVT_AE
  Artifacts of EVT ASPLOS'24
  ☆26Updated last year
• codyjrivera / tsm2x-imp
  Implementation of TSM2L and TSM2R -- High-Performance Tall-and-Skinny Matrix-Matrix Multiplication Algorithms for CUDA
  ☆32Updated 4 years ago
• ColfaxResearch / cfx-article-src
  ☆117Updated last month
• wzsh / wmma_tensorcore_sample
  Matrix Multiply-Accumulate with CUDA and WMMA( Tensor Core)
  ☆136Updated 4 years ago
• nox-410 / tvm.tl
  An extention of TVMScript to write simple and high performance GPU kernels with tensorcore.
  ☆50Updated 11 months ago
• leimao / CUTLASS-Examples
  CUTLASS and CuTe Examples
  ☆57Updated 5 months ago
• pytorch-labs / helion
  A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.
  ☆166Updated this week
• ColfaxResearch / cutlass-kernels
  ☆212Updated 11 months ago
• ademeure / DeeperGEMM
  DeeperGEMM: crazy optimized version
  ☆69Updated last month
• triton-lang / kernels
  ☆81Updated 7 months ago
• NVIDIA / online-softmax
  Benchmark code for the "Online normalizer calculation for softmax" paper
  ☆94Updated 6 years ago
• Dao-AILab / quack
  ☆63Updated this week
• cmu-catalyst / collage
  System for automated integration of deep learning backends.
  ☆47Updated 2 years ago