Alternatives and similar repositories for symm-mem-recipes

Users that are interested in symm-mem-recipes are comparing it to the libraries listed below

• ColfaxResearch / cutlass-kernels
  ☆214Updated last year
• ColfaxResearch / cfx-article-src
  ☆123Updated 2 months ago
• infinigence / FlashOverlap
  A lightweight design for computation-communication overlap.
  ☆146Updated 3 weeks ago
• triton-lang / kernels
  ☆83Updated 8 months ago
• AlibabaPAI / FLASHNN
  ☆96Updated 10 months ago
• CalebDu / Awesome-Cute
  ☆82Updated last month
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆112Updated last year
• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆100Updated last month
• pytorch-labs / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆176Updated last week
• facebookexperimental / triton
  Github mirror of trition-lang/triton repo.
  ☆48Updated this 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 …
  ☆183Updated 5 months ago
• pytorch-labs / helion
  A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.
  ☆176Updated this week
• microsoft / nnscaler
  nnScaler: Compiling DNN models for Parallel Training
  ☆113Updated this week
• alibaba / easydist
  Automated Parallelization System and Infrastructure for Multiple Ecosystems
  ☆79Updated 7 months ago
• cchan / tccl
  extensible collectives library in triton
  ☆87Updated 3 months ago
• DD-DuDa / Cute-Learning
  Examples of CUDA implementations by Cutlass CuTe
  ☆203Updated last week
• xlite-dev / HGEMM
  ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.
  ☆86Updated 2 months ago
• pranjalssh / fast.cu
  Fastest kernels written from scratch
  ☆289Updated 3 months ago
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆254Updated 8 months ago
• ppl-ai / pplx-kernels
  Perplexity GPU Kernels
  ☆395Updated last month
• pytorch-labs / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆281Updated last month
• NVIDIA / online-softmax
  Benchmark code for the "Online normalizer calculation for softmax" paper
  ☆95Updated 6 years ago
• parasailteam / coconet
  ☆79Updated 2 years ago
• ademeure / DeeperGEMM
  DeeperGEMM: crazy optimized version
  ☆69Updated 2 months ago
• KnowingNothing / MatmulTutorial
  A Easy-to-understand TensorOp Matmul Tutorial
  ☆365Updated 9 months ago
• reed-lau / cute-gemm
  ☆125Updated 7 months ago
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆327Updated this week
• 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
  ☆102Updated last year
• microsoft / triton-shared
  Shared Middle-Layer for Triton Compilation
  ☆258Updated this week