Alternatives and similar repositories for triton-samples

Users that are interested in triton-samples 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.
  ☆88Updated last week
• pytorch-labs / triton-cpu
  An experimental CPU backend for Triton (https//github.com/openai/triton)
  ☆43Updated 2 months ago
• daniel-geon-park / triton_bwd
  Automatic differentiation for Triton Kernels
  ☆11Updated 2 months ago
• IBM / triton-dejavu
  Framework to reduce autotune overhead to zero for well known deployments.
  ☆74Updated 3 weeks ago
• pytorch-labs / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆127Updated this week
• cchan / tccl
  extensible collectives library in triton
  ☆87Updated 2 months ago
• open-lm-engine / cute-kernels
  A bunch of kernels that might make stuff slower 😉
  ☆46Updated this week
• deepspeedai / DeepSpeed-Kernels
  ☆71Updated 2 months ago
• Jokeren / triton-samples
  ☆28Updated 4 months ago
• vedantroy / gpu_kernels
  ☆26Updated last year
• gau-nernst / quantized-training
  Explore training for quantized models
  ☆18Updated this week
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆125Updated 2 months ago
• triton-lang / kernels
  ☆80Updated 6 months ago
• gpu-mode / discord-cluster-manager
  Write a fast kernel and run it on Discord. See how you compare against the best!
  ☆44Updated this week
• alexzhang13 / Triton-Puzzles-Solutions
  Personal solutions to the Triton Puzzles
  ☆18Updated 10 months ago
• mlc-ai / mlc-python
  ☆34Updated last week
• ROCm / aotriton
  Ahead of Time (AOT) Triton Math Library
  ☆64Updated last week
• facebookresearch / MODel_opt
  Memory Optimizations for Deep Learning (ICML 2023)
  ☆64Updated last year
• graphcore-research / out-of-the-box-fp8-training
  Demo of the unit_scaling library, showing how a model can be easily adapted to train in FP8.
  ☆44Updated 10 months ago
• GindaChen / FlexFlashAttention3
  FlexAttention w/ FlashAttention3 Support
  ☆26Updated 8 months ago
• UmerHA / triton_util
  Make triton easier
  ☆47Updated 11 months ago
• pytorch-labs / helion
  A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.
  ☆153Updated this week
• microsoft / AttentionEngine
  ☆70Updated 2 weeks ago
• habanero-lab / APPy
  APPy (Annotated Parallelism for Python) enables users to annotate loops and tensor expressions in Python with compiler directives akin to…
  ☆23Updated 2 weeks ago
• ademeure / DeeperGEMM
  DeeperGEMM: crazy optimized version
  ☆69Updated last month
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆109Updated 10 months ago
• thunlp / TritonBench
  TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators
  ☆51Updated 3 months ago
• salykova / sgemm.cu
  High-Performance SGEMM on CUDA devices
  ☆94Updated 4 months ago
• srush / triton-autodiff
  Experiment of using Tangent to autodiff triton
  ☆79Updated last year
• gpu-mode / reference-kernels
  Reference Kernels for the Leaderboard
  ☆49Updated last week