Alternatives and similar repositories for CUDA-C

Users that are interested in CUDA-C are comparing it to the libraries listed below

• linjames0 / Transformer-CUDA
  An implementation of the transformer architecture onto an Nvidia CUDA kernel
  ☆202Updated 2 years ago
• BobMcDear / neural-network-cuda
  Neural network from scratch in CUDA/C++
  ☆88Updated 4 months ago
• gpu-mode / profiling-cuda-in-torch
  ☆178Updated last year
• andreinechaev / nvcc4jupyter
  A plugin for Jupyter Notebook to run CUDA C/C++ code
  ☆257Updated last year
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆155Updated 2 years ago
• gau-nernst / learn-cuda
  Learn CUDA with PyTorch
  ☆185Updated last week
• MekkCyber / TritonAcademy
  A repository to unravel the language of GPUs, making their kernel conversations easy to understand
  ☆197Updated 8 months ago
• VikParuchuri / triton_tutorial
  Tutorials for Triton, a language for writing gpu kernels
  ☆72Updated 2 years ago
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆249Updated 8 months ago
• gpu-mode / kernelbot
  Write a fast kernel and run it on Discord. See how you compare against the best!
  ☆68Updated last week
• SzymonOzog / GPU_Programming
  ☆89Updated 2 months ago
• salykova / sgemm.cu
  High-Performance FP32 GEMM on CUDA devices
  ☆117Updated last year
• SzymonOzog / FastSoftmax
  Step by step implementation of a fast softmax kernel in CUDA
  ☆60Updated last year
• hkproj / triton-flash-attention
  ☆234Updated last year
• unixpickle / learn-ptx
  Learning about CUDA by writing PTX code.
  ☆151Updated last year
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆291Updated 4 months ago
• tensara / tensara
  Competitive GPU kernel optimization platform.
  ☆149Updated last week
• lessw2020 / triton_kernels_for_fun_and_profit
  Custom kernels in Triton language for accelerating LLMs
  ☆27Updated last year
• srush / triton-autodiff
  Experiment of using Tangent to autodiff triton
  ☆82Updated 2 years ago
• tgautam03 / xGeMM
  Accelerated General (FP32) Matrix Multiplication from scratch in CUDA
  ☆181Updated last year
• graphcore-research / out-of-the-box-fp8-training
  Demo of the unit_scaling library, showing how a model can be easily adapted to train in FP8.
  ☆46Updated last year
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆175Updated 9 months ago
• tgautam03 / tGeMM
  General Matrix Multiplication using NVIDIA Tensor Cores
  ☆28Updated last year
• leimao / CUDA-GEMM-Optimization
  CUDA Matrix Multiplication Optimization
  ☆256Updated last year
• 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
• Deep-Learning-Profiling-Tools / triton-viz
  ☆277Updated this week
• mlops-discord / gpu-optimization-workshop
  Slides, notes, and materials for the workshop
  ☆339Updated last year
• meta-pytorch / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆227Updated last year
• numba / nvidia-cuda-tutorial
  Nvidia contributed CUDA tutorial for Numba
  ☆265Updated 3 years ago
• evintunador / triton_docs_tutorials
  making the official triton tutorials actually comprehensible
  ☆104Updated 5 months ago