Alternatives and similar repositories for simpleGEMM

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

• open-lm-engine / flash-model-architectures
  A bunch of kernels that might make stuff slower 😉
  ☆58Updated this week
• cchan / tccl
  extensible collectives library in triton
  ☆88Updated 4 months ago
• Deep-Learning-Profiling-Tools / triton-viz
  ☆232Updated this week
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆252Updated 7 months ago
• triton-lang / kernels
  ☆86Updated 9 months ago
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆147Updated 4 months ago
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆349Updated last week
• pranjalssh / fast.cu
  Fastest kernels written from scratch
  ☆316Updated 4 months ago
• pytorch / helion
  A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.
  ☆271Updated this week
• meta-pytorch / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆207Updated this week
• meta-pytorch / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆224Updated last year
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆113Updated last year
• stanford-futuredata / stk
  ☆110Updated last year
• Dao-AILab / quack
  A Quirky Assortment of CuTe Kernels
  ☆411Updated this week
• salykova / sgemm.cu
  High-Performance SGEMM on CUDA devices
  ☆97Updated 7 months ago
• gpu-mode / ring-attention
  ring-attention experiments
  ☆149Updated 10 months ago
• meta-pytorch / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆291Updated this week
• jundaf2 / INT8-Flash-Attention-FMHA-Quantization
  ☆159Updated last year
• gpu-mode / reference-kernels
  Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!
  ☆74Updated this week
• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆110Updated 2 months ago
• ColfaxResearch / cutlass-kernels
  ☆229Updated last year
• Dao-AILab / fast-hadamard-transform
  Fast Hadamard transform in CUDA, with a PyTorch interface
  ☆221Updated last year
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆137Updated last year
• google / aqt
  ☆325Updated 3 weeks ago
• ROCm / aotriton
  Ahead of Time (AOT) Triton Math Library
  ☆75Updated last week
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆211Updated 3 months ago
• albanD / subclass_zoo
  ☆172Updated last year
• IBM / triton-dejavu
  Framework to reduce autotune overhead to zero for well known deployments.
  ☆81Updated last week
• alexzhang13 / Triton-Puzzles-Solutions
  Personal solutions to the Triton Puzzles
  ☆20Updated last year
• proger / accelerated-scan
  Accelerated First Order Parallel Associative Scan
  ☆187Updated last year