Alternatives and similar repositories for cuda-repo:

Users that are interested in cuda-repo are comparing it to the libraries listed below

• lucasdelimanogueira / PyNorch
  Recreating PyTorch from scratch (C/C++, CUDA, NCCL and Python, with multi-GPU support and automatic differentiation!)
  ☆137Updated 7 months ago
• gpu-mode / awesomeMLSys
  An ML Systems Onboarding list
  ☆647Updated 2 months ago
• rkinas / triton-resources
  A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
  ☆161Updated this week
• CisMine / Parallel-Computing-Cuda-C
  CUDA Learning guide
  ☆289Updated 6 months ago
• nvixnu / pmpp__programming_massively_parallel_processors
  Examples and exercises from the book Programming Massively Parallel Processors - A Hands-on Approach. David B. Kirk and Wen-mei W. Hwu (T…
  ☆50Updated 3 years ago
• CisMine / Guide-NVIDIA-Tools
  NVIDIA tools guide
  ☆82Updated last week
• hkproj / triton-flash-attention
  ☆91Updated 2 weeks ago
• gpu-mode / profiling-cuda-in-torch
  ☆138Updated 11 months ago
• leimao / CUDA-GEMM-Optimization
  CUDA Matrix Multiplication Optimization
  ☆152Updated 5 months ago
• gevtushenko / llm.c
  LLM training in simple, raw C/CUDA
  ☆91Updated 8 months ago
• mlops-discord / gpu-optimization-workshop
  Slides, notes, and materials for the workshop
  ☆309Updated 7 months ago
• linjames0 / Transformer-CUDA
  An implementation of the transformer architecture onto an Nvidia CUDA kernel
  ☆167Updated last year
• ulrichstern / cuda-convnet
  Alex Krizhevsky's original code from Google Code
  ☆190Updated 8 years ago
• Deep-Learning-Profiling-Tools / triton-viz
  ☆170Updated this week
• andrewkchan / yalm
  Yet Another Language Model: LLM inference in C++/CUDA, no libraries except for I/O
  ☆211Updated this week
• gpu-mode / resource-stream
  GPU programming related news and material links
  ☆1,312Updated last week
• R100001 / Programming-Massively-Parallel-Processors
  ☆112Updated 5 months ago
• Infatoshi / cuda-course
  ☆782Updated 2 weeks ago
• mit-han-lab / parallel-computing-tutorial
  ☆151Updated last year
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆505Updated 2 months ago
• olcf / cuda-training-series
  Training materials associated with NVIDIA's CUDA Training Series (www.olcf.ornl.gov/cuda-training-series/)
  ☆658Updated 4 months ago
• puttsk / cuda-tutorial
  A set of hands-on tutorials for CUDA programming
  ☆203Updated 9 months ago
• h3ct0rjs / HighPerformanceComputing
  Class of High Performance Computing taken at U.T.P 2017
  ☆39Updated 7 years ago
• clu0 / unet.cu
  UNet diffusion model in pure CUDA
  ☆596Updated 6 months ago
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆155Updated last week
• wangzyon / NVIDIA_SGEMM_PRACTICE
  Step-by-step optimization of CUDA SGEMM
  ☆270Updated 2 years ago
• loganwatchorn / notes-pmpp
  Notes on "Programming Massively Parallel Processors" by Hwu, Kirk, and Hajj (4th ed.)
  ☆53Updated 5 months ago
• NVIDIA / Star-Attention
  Efficient LLM Inference over Long Sequences
  ☆344Updated 2 weeks ago
• gpu-mode / ring-attention
  ring-attention experiments
  ☆116Updated 3 months ago
• ThoenigAdrian / NeuralNetworksCudaTutorial
  Implement Neural Networks in Cuda from Scratch
  ☆22Updated 8 months ago