Alternatives and similar repositories for nanoMPI

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

• gau-nernst / learn-cuda
  Learn CUDA with PyTorch
  ☆154Updated last week
• unixpickle / learn-ptx
  Learning about CUDA by writing PTX code.
  ☆150Updated last year
• changjonathanc / flex-nano-vllm
  FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.
  ☆327Updated last month
• IST-DASLab / llmq
  Quantized LLM training in pure CUDA/C++.
  ☆226Updated this week
• MekkCyber / TritonAcademy
  A repository to unravel the language of GPUs, making their kernel conversations easy to understand
  ☆195Updated 7 months ago
• jax-ml / scaling-book
  Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs
  ☆791Updated this week
• rkinas / triton-resources
  A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
  ☆448Updated 9 months ago
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆589Updated 4 months ago
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆153Updated 2 years ago
• gpu-mode / reference-kernels
  Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!
  ☆182Updated last week
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆243Updated 7 months ago
• huggingface / picotron_tutorial
  ☆225Updated last month
• gpu-mode / profiling-cuda-in-torch
  ☆178Updated last year
• microsoft / dion
  Dion optimizer algorithm
  ☆411Updated last week
• hkproj / triton-flash-attention
  ☆230Updated 11 months ago
• gpu-mode / ring-attention
  ring-attention experiments
  ☆160Updated last year
• meta-pytorch / torchft
  Fault tolerance for PyTorch (HSDP, LocalSGD, DiLoCo, Streaming DiLoCo)
  ☆462Updated this week
• pytorch / helion
  A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.
  ☆697Updated this week
• modal-labs / gpu-glossary
  GPU documentation for humans
  ☆430Updated 3 weeks ago
• Infatoshi / docs.md
  ☆84Updated 2 weeks ago
• cloneofsimo / ptx-tutorial-by-aislop
  PTX-Tutorial Written Purely By AIs (Deep Research of Openai and Claude 3.7)
  ☆66Updated 9 months ago
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆280Updated 3 months ago
• huggingface / kernels
  Load compute kernels from the Hub
  ☆354Updated 2 weeks ago
• NVIDIA / TileGym
  Helpful kernel tutorials and examples for tile-based GPU programming
  ☆501Updated last week
• Deep-Learning-Profiling-Tools / triton-viz
  ☆268Updated last week
• clu0 / unet.cu
  UNet diffusion model in pure CUDA
  ☆658Updated last year
• gpu-mode / discord-cluster-manager
  Write a fast kernel and run it on Discord. See how you compare against the best!
  ☆65Updated last week
• ScalingIntelligence / KernelBench
  KernelBench: Can LLMs Write GPU Kernels? - Benchmark + Toolkit with Torch -> CUDA (+ more DSLs)
  ☆728Updated this week
• gevtushenko / llm.c
  LLM training in simple, raw C/CUDA
  ☆108Updated last year
• Dao-AILab / quack
  A Quirky Assortment of CuTe Kernels
  ☆724Updated last week