Alternatives and similar repositories for GPU_Programming

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

• unixpickle / learn-ptx
  Learning about CUDA by writing PTX code.
  ☆151Updated last year
• SzymonOzog / FastSoftmax
  Step by step implementation of a fast softmax kernel in CUDA
  ☆60Updated last year
• gau-nernst / learn-cuda
  Learn CUDA with PyTorch
  ☆193Updated this week
• gpu-mode / reference-kernels
  Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!
  ☆200Updated last week
• gpu-mode / profiling-cuda-in-torch
  ☆178Updated 2 years ago
• salykova / sgemm.cu
  High-Performance FP32 GEMM on CUDA devices
  ☆117Updated last year
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆155Updated 2 years ago
• lessw2020 / triton_kernels_for_fun_and_profit
  Custom kernels in Triton language for accelerating LLMs
  ☆27Updated last year
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆249Updated 9 months ago
• pranjalssh / fast.cu
  Fastest kernels written from scratch
  ☆532Updated 4 months ago
• Quentin-Anthony / nanoMPI
  Simple MPI implementation for prototyping or learning
  ☆300Updated 6 months ago
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆291Updated 4 months ago
• tgautam03 / xGeMM
  Accelerated General (FP32) Matrix Multiplication from scratch in CUDA
  ☆181Updated last year
• cloneofsimo / ptx-tutorial-by-aislop
  PTX-Tutorial Written Purely By AIs (Deep Research of Openai and Claude 3.7)
  ☆66Updated 10 months ago
• IST-DASLab / llmq
  Quantized LLM training in pure CUDA/C++.
  ☆235Updated 2 weeks ago
• rkinas / triton-resources
  A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
  ☆457Updated 10 months ago
• tensara / tensara
  Competitive GPU kernel optimization platform.
  ☆149Updated 2 weeks ago
• gpu-mode / kernelbot
  Write a fast kernel and run it on Discord. See how you compare against the best!
  ☆68Updated this week
• MekkCyber / TritonAcademy
  A repository to unravel the language of GPUs, making their kernel conversations easy to understand
  ☆197Updated 8 months ago
• SzymonOzog / Penny
  Hand-Rolled GPU communications library
  ☆81Updated 2 months ago
• aryagxr / cuda
  coding CUDA everyday!
  ☆73Updated this week
• Deep-Learning-Profiling-Tools / triton-viz
  ☆286Updated this week
• dropbox / gemlite
  Fast low-bit matmul kernels in Triton
  ☆427Updated this week
• hkproj / triton-flash-attention
  ☆234Updated last year
• meta-pytorch / tritonparse
  TritonParse: A Compiler Tracer, Visualizer, and Reproducer for Triton Kernels
  ☆194Updated this week
• lucasdelimanogueira / PyNorch
  Recreating PyTorch from scratch (C/C++, CUDA, NCCL and Python, with multi-GPU support and automatic differentiation!)
  ☆162Updated 2 months ago
• modal-labs / gpu-glossary
  GPU documentation for humans
  ☆514Updated last week
• gevtushenko / llm.c
  LLM training in simple, raw C/CUDA
  ☆112Updated last year
• bertmaher / simplegemm
  ☆129Updated 3 months ago
• NVIDIA / TileGym
  Helpful kernel tutorials and examples for tile-based GPU programming
  ☆630Updated this week