Alternatives and similar repositories for General-CUDA-programming

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

• halide / CVPR2015
  Example code used in the CVPR 2015 tutorial
  ☆41Updated 9 years ago
• PatWie / cuda-design-patterns
  Some CUDA design patterns and a bit of template magic for CUDA
  ☆155Updated 2 years ago
• foota / ccl
  Connected Component Labeling.
  ☆43Updated 5 years ago
• lukeyeager / cmake-cuda-example
  Example of how to use CUDA with CMake >= 3.8
  ☆70Updated last month
• kriegalex / cmake-cuda-separate-compilation-linking
  This example builds on the parallel-forall repo separate compilation example by adding CMake to it.
  ☆17Updated 7 years ago
• ravi-teja-mullapudi / Halide-NN
  CNNs in Halide
  ☆23Updated 9 years ago
• matazure / mtensor
  a c++/cuda template library for tensor lazy evaluation
  ☆161Updated 2 years ago
• ysh329 / OpenCL-101
  Learn OpenCL step by step.
  ☆137Updated 2 years ago
• carlren / ORUtils
  Set of basic classes (vector, matrix, images and memory array) for CPU and GPU
  ☆17Updated 4 years ago
• ilyak / openmp-tutorial
  OpenMP tutorial
  ☆38Updated 2 months ago
• chaolongzhang / algorithms-cuda
  parallel algorithm based on cuda
  ☆60Updated 7 years ago
• NVIDIA / kmeans
  kmeans clustering with multi-GPU capabilities
  ☆119Updated 2 years ago
• yanqswhu / cuda_by_example
  The CMake version of cuda_by_example
  ☆148Updated 4 years ago
• taxfromdk / tensorflow_dense_op
  ☆22Updated 6 years ago
• boxvc / NVIDIA-Jobs
  Deep Learning/GPU Architect/Autonomous Driving Positions
  ☆80Updated 5 years ago
• ironhide23586 / CUDA-Connected-Component-Labelling
  Parallel GPU Implementation of Connected Component Labelling (CCL). Connected-component labeling is used in computer vision to detect con…
  ☆52Updated 7 years ago
• jeremyong / opencl_in_action
  Corrected source for the OpenCL in Action book (work in progress)
  ☆64Updated 11 years ago
• paclopes / HungarianGPU
  An GPU/CUDA implementation of the Hungarian algorithm
  ☆111Updated 6 years ago
• virtuald / pybind11_opencv_numpy
  some test to implement cv::Mat conversion to numpy.array
  ☆25Updated 8 years ago
• vinx13 / tvm-cuda-int8-benchmark
  Benchmark of TVM quantized model on CUDA
  ☆111Updated 5 years ago
• yhtang / CUDA-tutorial
  some CUDA programming example
  ☆25Updated 8 years ago
• hyln9 / GCNGEMM
  Optimized half precision gemm assembly kernels (deprecated due to ROCm)
  ☆47Updated 8 years ago
• ashwin / fasthog
  FastHOG library that has been fixed to work with CUDA 5.x on Ubuntu 12.04
  ☆20Updated 11 years ago
• CSshengxy / MEC
  ICML2017 MEC: Memory-efficient Convolution for Deep Neural Network C++实现(非官方)
  ☆17Updated 6 years ago
• csc-training / CUDA
  Introduction to CUDA programming
  ☆123Updated 8 years ago
• cvlab-epfl / densecrf
  a fork of the densecrf package implementing alternative inference scheme
  ☆29Updated 9 years ago
• mz24cn / clnet
  OpenCL for Nets - A Deep Learning Framework based on OpenCL, written by C++. Supports popular MLP, RNN(LSTM), CNN(ResNet). Friendly debug…
  ☆68Updated 6 years ago
• cjmcv / hpc
  Learning and practice of high performance computing (CUDA, Vulkan, OpenCL, OpenMP, TBB, SSE/AVX, NEON, MPI, coroutines, etc. )
  ☆60Updated 3 months ago
• lcskrishna / onnx-parser
  ONNX Parser is a tool that automatically generates openvx inference code (CNN) from onnx binary model files.
  ☆18Updated 6 years ago
• bgaster / opencl-book-samples
  Automatically exported from code.google.com/p/opencl-book-samples
  ☆166Updated 5 years ago