Alternatives and similar repositories for cuda-tutorials:

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

• a-hamdi / GPU
  100 days of building GPU kernels!
  ☆399Updated last week
• lucasdelimanogueira / PyNorch
  Recreating PyTorch from scratch (C/C++, CUDA, NCCL and Python, with multi-GPU support and automatic differentiation!)
  ☆150Updated 11 months ago
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆169Updated last month
• 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…
  ☆66Updated 4 years ago
• linjames0 / Transformer-CUDA
  An implementation of the transformer architecture onto an Nvidia CUDA kernel
  ☆180Updated last year
• hkproj / 100-days-of-gpu
  ☆296Updated 3 weeks ago
• rkinas / triton-resources
  A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
  ☆342Updated last month
• rkinas / cuda-learning
  This repository is a curated collection of resources, tutorials, and practical examples designed to guide you through the journey of mast…
  ☆333Updated 2 months ago
• leimao / CUDA-GEMM-Optimization
  CUDA Matrix Multiplication Optimization
  ☆184Updated 9 months ago
• gpu-mode / profiling-cuda-in-torch
  ☆155Updated last year
• unixpickle / learn-ptx
  Learning about CUDA by writing PTX code.
  ☆128Updated last year
• CisMine / Parallel-Computing-Cuda-C
  CUDA Learning guide
  ☆366Updated 10 months ago
• CisMine / Guide-NVIDIA-Tools
  NVIDIA tools guide
  ☆132Updated 3 months ago
• hkproj / triton-flash-attention
  ☆159Updated 4 months ago
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆536Updated last week
• MekkCyber / TritonAcademy
  A repository to unravel the language of GPUs, making their kernel conversations easy to understand
  ☆180Updated last week
• andreinechaev / nvcc4jupyter
  A plugin for Jupyter Notebook to run CUDA C/C++ code
  ☆227Updated 7 months ago
• h3ct0rjs / HighPerformanceComputing
  Class of High Performance Computing taken at U.T.P 2017
  ☆56Updated 7 years ago
• R100001 / Programming-Massively-Parallel-Processors
  ☆153Updated 9 months ago
• gevtushenko / llm.c
  LLM training in simple, raw C/CUDA
  ☆94Updated last year
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆220Updated 3 months ago
• bertmaher / simplegemm
  ☆102Updated last month
• mlops-discord / gpu-optimization-workshop
  Slides, notes, and materials for the workshop
  ☆325Updated 11 months ago
• gpu-mode / awesomeMLSys
  An ML Systems Onboarding list
  ☆772Updated 3 months ago
• 1y33 / 100Days
  GPU Kernels
  ☆172Updated last week
• NVIDIA / accelerated-computing-hub
  NVIDIA curated collection of educational resources related to general purpose GPU programming.
  ☆429Updated last week
• drkennetz / cuda_examples
  Some CUDA example code with READMEs.
  ☆97Updated 2 months ago
• mit-han-lab / parallel-computing-tutorial
  ☆166Updated last year
• SzymonOzog / GPU_Programming
  ☆52Updated this week
• andrewkchan / yalm
  Yet Another Language Model: LLM inference in C++/CUDA, no libraries except for I/O
  ☆290Updated 3 months ago