Alternatives and similar repositories for GPU_Programming

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

• SzymonOzog / FastSoftmax
  Step by step implementation of a fast softmax kernel in CUDA
  ☆59Updated last year
• gau-nernst / learn-cuda
  Learn CUDA with PyTorch
  ☆176Updated 3 weeks ago
• gpu-mode / reference-kernels
  Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!
  ☆189Updated this week
• unixpickle / learn-ptx
  Learning about CUDA by writing PTX code.
  ☆151Updated last year
• IST-DASLab / llmq
  Quantized LLM training in pure CUDA/C++.
  ☆231Updated last week
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆154Updated 2 years ago
• salykova / sgemm.cu
  High-Performance SGEMM on CUDA devices
  ☆115Updated 11 months ago
• gpu-mode / profiling-cuda-in-torch
  ☆178Updated last year
• tensara / tensara
  Competitive GPU kernel optimization platform.
  ☆145Updated this week
• gpu-mode / kernelbot
  Write a fast kernel and run it on Discord. See how you compare against the best!
  ☆67Updated this week
• aryagxr / cuda
  coding CUDA everyday!
  ☆72Updated last month
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆248Updated 8 months ago
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆287Updated 4 months ago
• cloneofsimo / ptx-tutorial-by-aislop
  PTX-Tutorial Written Purely By AIs (Deep Research of Openai and Claude 3.7)
  ☆66Updated 9 months ago
• Deep-Learning-Profiling-Tools / triton-viz
  ☆271Updated last week
• linjames0 / Transformer-CUDA
  An implementation of the transformer architecture onto an Nvidia CUDA kernel
  ☆202Updated 2 years ago
• Quentin-Anthony / nanoMPI
  Simple MPI implementation for prototyping or learning
  ☆300Updated 5 months ago
• gevtushenko / llm.c
  LLM training in simple, raw C/CUDA
  ☆110Updated last year
• rkinas / triton-resources
  A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
  ☆453Updated 10 months ago
• meta-pytorch / tritonparse
  TritonParse: A Compiler Tracer, Visualizer, and Reproducer for Triton Kernels
  ☆185Updated this week
• pranjalssh / fast.cu
  Fastest kernels written from scratch
  ☆523Updated 4 months ago
• gpu-mode / ring-attention
  ring-attention experiments
  ☆161Updated last year
• tgautam03 / xGeMM
  Accelerated General (FP32) Matrix Multiplication from scratch in CUDA
  ☆177Updated last year
• NVIDIA / TileGym
  Helpful kernel tutorials and examples for tile-based GPU programming
  ☆568Updated this week
• dropbox / gemlite
  Fast low-bit matmul kernels in Triton
  ☆423Updated last month
• gpu-mode / popcorn-cli
  ☆87Updated this week
• hkproj / triton-flash-attention
  ☆233Updated last year
• evintunador / triton_docs_tutorials
  making the official triton tutorials actually comprehensible
  ☆98Updated 4 months ago
• bertmaher / simplegemm
  ☆128Updated 2 months ago
• MekkCyber / TritonAcademy
  A repository to unravel the language of GPUs, making their kernel conversations easy to understand
  ☆195Updated 7 months ago