Alternatives and similar repositories for GPU_Programming

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

• SzymonOzog / FastSoftmax
  ☆35Updated 4 months ago
• unixpickle / learn-ptx
  Learning about CUDA by writing PTX code.
  ☆131Updated last year
• salykova / sgemm.cu
  High-Performance SGEMM on CUDA devices
  ☆94Updated 4 months ago
• cloneofsimo / ptx-tutorial-by-aislop
  PTX-Tutorial Written Purely By AIs (Deep Research of Openai and Claude 3.7)
  ☆67Updated 2 months ago
• gpu-mode / profiling-cuda-in-torch
  ☆157Updated last year
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆133Updated last year
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆226Updated 4 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
• gevtushenko / llm.c
  LLM training in simple, raw C/CUDA
  ☆99Updated last year
• LaurieWired / BenchmarkCustomPTX
  Custom PTX Instruction Benchmark
  ☆126Updated 3 months ago
• gpu-mode / reference-kernels
  Reference Kernels for the Leaderboard
  ☆49Updated last week
• Deep-Learning-Profiling-Tools / triton-viz
  ☆215Updated this week
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆181Updated 3 weeks ago
• gpu-mode / ring-attention
  ring-attention experiments
  ☆143Updated 7 months ago
• MekkCyber / TritonAcademy
  A repository to unravel the language of GPUs, making their kernel conversations easy to understand
  ☆184Updated last week
• cchan / tccl
  extensible collectives library in triton
  ☆87Updated 2 months ago
• evintunador / triton_docs_tutorials
  making the official triton tutorials actually comprehensible
  ☆34Updated 2 months ago
• bertmaher / simplegemm
  ☆105Updated 2 months ago
• moritztng / grayskull-attention
  Attention in SRAM on Tenstorrent Grayskull
  ☆35Updated 10 months ago
• pranjalssh / fast.cu
  Fastest kernels written from scratch
  ☆269Updated 2 months ago
• stanford-cs149 / cs149gpt
  ☆72Updated last year
• tensara / tensara
  Competitive GPU kernel optimization platform.
  ☆74Updated this week
• kuterd / opal_ptx
  Experimental GPU language with meta-programming
  ☆22Updated 8 months ago
• linjames0 / Transformer-CUDA
  An implementation of the transformer architecture onto an Nvidia CUDA kernel
  ☆183Updated last year
• apoorvnandan / lilgrad
  pytorch from scratch in pure C/CUDA and python
  ☆40Updated 7 months ago
• nreHieW / r-nn
  Tensor library with autograd using only Rust's standard library
  ☆68Updated 11 months ago
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆546Updated this week
• lucasdelimanogueira / PyNorch
  Recreating PyTorch from scratch (C/C++, CUDA, NCCL and Python, with multi-GPU support and automatic differentiation!)
  ☆151Updated last year
• triton-lang / kernels
  ☆80Updated 6 months ago
• rkinas / triton-resources
  A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
  ☆357Updated 2 months ago