Alternatives and similar repositories for CUDA:

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

• PatWie / cuda-design-patterns
  Some CUDA design patterns and a bit of template magic for CUDA
  ☆149Updated last year
• YulhwaKim / cutlass_tilesparse
  CUDA templates for tile-sparse matrix multiplication based on CUTLASS.
  ☆50Updated 7 years ago
• parasj / checkmate
  Training neural networks in TensorFlow 2.0 with 5x less memory
  ☆130Updated 3 years ago
• facebookresearch / fairring
  Fairring (FAIR + Herring) is a plug-in for PyTorch that provides a process group for distributed training that outperforms NCCL at large …
  ☆64Updated 3 years ago
• bwasti / pytorch_compiler_tutorial
  Codebase associated with the PyTorch compiler tutorial
  ☆46Updated 5 years ago
• DeMoriarty / custom_matmul_kernels
  Customized matrix multiplication kernels
  ☆53Updated 3 years ago
• OrangeOwlSolutions / General-CUDA-programming
  ☆42Updated 7 years ago
• xmartlabs / cuda-calculator
  Online CUDA Occupancy Calculator
  ☆74Updated 3 years ago
• google-research / sputnik
  A library of GPU kernels for sparse matrix operations.
  ☆260Updated 4 years ago
• DmitryLyakh / CUDA_Tutorial
  ☆23Updated 5 years ago
• wzsh / wmma_tensorcore_sample
  Matrix Multiply-Accumulate with CUDA and WMMA( Tensor Core)
  ☆126Updated 4 years ago
• NVIDIA / compute-sanitizer-samples
  Samples demonstrating how to use the Compute Sanitizer Tools and Public API
  ☆76Updated last year
• CUDA-Tutorial / CodeSamples
  Code samples for the CUDA tutorial "CUDA and Applications to Task-based Programming"
  ☆89Updated last year
• GPUPeople / spECK
  Efficient SpGEMM on GPU using CUDA and CSR
  ☆52Updated last year
• YashasSamaga / ConvolutionBuildingBlocks
  GEMM and Winograd based convolutions using CUTLASS
  ☆26Updated 4 years ago
• dumerrill / merge-spmv
  ☆92Updated 8 years ago
• leimao / CUDA-GEMM-Optimization
  CUDA Matrix Multiplication Optimization
  ☆173Updated 8 months ago
• eegkno / CUDA_by_practice
  CUDA by practice
  ☆125Updated 5 years ago
• cwpearson / nvidia-performance-tools
  Instructions, Docker images, and examples for Nsight Compute and Nsight Systems
  ☆130Updated 4 years ago
• NVIDIA / nvtx-plugins
  Python bindings for NVTX
  ☆66Updated last year
• chrischoy / MakePytorchPlusPlus
  How and why you want to make your pytorch CUDA/CPP extension with a Makefile
  ☆172Updated 5 years ago
• facebookresearch / MODel_opt
  Memory Optimizations for Deep Learning (ICML 2023)
  ☆62Updated last year
• mark-poscablo / gpu-sum-reduction
  CUDA implementation of the fundamental sum reduce operation. Aims to be as optimized as reasonable.
  ☆36Updated 7 years ago
• cli99 / flops-profiler
  pytorch-profiler
  ☆51Updated last year
• uwsampl / dtr-prototype
  Dynamic Tensor Rematerialization prototype (modified PyTorch) and simulator. Paper: https://arxiv.org/abs/2006.09616
  ☆133Updated last year
• gunrock / loops
  🎃 GPU load-balancing library for regular and irregular computations.
  ☆62Updated 9 months ago
• xuqiantong / CUDA-Winograd
  Fast CUDA Kernels for ResNet Inference.
  ☆173Updated 5 years ago
• manishucsd / py-codegen
  ☆15Updated 5 months ago
• awslabs / lorien
  ☆44Updated last year
• cmu-catalyst / collage
  System for automated integration of deep learning backends.
  ☆48Updated 2 years ago