Alternatives and similar repositories for General-CUDA-programming

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

• PatWie / cuda-design-patterns
  Some CUDA design patterns and a bit of template magic for CUDA
  ☆156Updated 2 years ago
• lukeyeager / cmake-cuda-example
  Example of how to use CUDA with CMake >= 3.8
  ☆70Updated 4 months ago
• 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
• halide / CVPR2015
  Example code used in the CVPR 2015 tutorial
  ☆42Updated 10 years ago
• foota / ccl
  Connected Component Labeling.
  ☆43Updated 5 years ago
• ysh329 / OpenCL-101
  Learn OpenCL step by step.
  ☆135Updated 3 years ago
• matazure / mtensor
  a c++/cuda template library for tensor lazy evaluation
  ☆163Updated 2 years ago
• xnd-project / cuda-benchmarks
  Collection of CUDA benchmarks, with a focus on unified vs. explicit memory management.
  ☆20Updated 6 years ago
• DrZhang99 / algorithms-cuda
  parallel algorithm based on cuda
  ☆60Updated 7 years ago
• NVIDIA / kmeans
  kmeans clustering with multi-GPU capabilities
  ☆119Updated 2 years ago
• carlren / ORUtils
  Set of basic classes (vector, matrix, images and memory array) for CPU and GPU
  ☆17Updated 4 years ago
• csc-training / CUDA
  Introduction to CUDA programming
  ☆128Updated 8 years ago
• pietrobongini / CUDA-ImageConvolution
  Implementations of 2D Image Convolution algorithm with CUDA (using global memory, shared memory and constant memory)
  ☆17Updated 7 years ago
• codeplaysoftware / visioncpp
  A machine vision library written in SYCL and C++ that shows performance-portable implementation of graph algorithms
  ☆162Updated last year
• CSshengxy / MEC
  ICML2017 MEC: Memory-efficient Convolution for Deep Neural Network C++实现(非官方)
  ☆17Updated 6 years ago
• ravi-teja-mullapudi / Halide-NN
  CNNs in Halide
  ☆23Updated 10 years ago
• vinx13 / tvm-cuda-int8-benchmark
  Benchmark of TVM quantized model on CUDA
  ☆111Updated 5 years ago
• yanqswhu / cuda_by_example
  The CMake version of cuda_by_example
  ☆149Updated 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…
  ☆53Updated 7 years 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
• rbaygildin / learn-gpgpu
  Algorithms implemented in CUDA + resources about GPGPU
  ☆60Updated 3 years ago
• XiuYuLi / flexible-gemm
  flexible-gemm conv of deepcore
  ☆17Updated 5 years ago
• jeremyong / opencl_in_action
  Corrected source for the OpenCL in Action book (work in progress)
  ☆64Updated 12 years ago
• milakov / int_fastdiv
  Fast integer division with divisor not known at compile time. To be used primarily in CUDA kernels.
  ☆72Updated 9 years ago
• cjmcv / hpc
  Learning and practice of high performance computing (CUDA, Vulkan, OpenCL, OpenMP, TBB, SSE/AVX, NEON, MPI, coroutines, etc. )
  ☆63Updated 7 months ago
• bcaine / nn_cpp
  A minimalistic header only C++11 Neural Network library based on Eigen::Tensor
  ☆20Updated 7 years ago
• NVIDIA / NVIDIAOpticalFlowSDK
  Optical Flow SDK exposes the latest hardware capability of Turing GPUs dedicated to computing the relative motion of pixels between image…
  ☆67Updated 4 years ago
• paclopes / HungarianGPU
  An GPU/CUDA implementation of the Hungarian algorithm
  ☆114Updated 6 years ago
• zchee / cuda-sample
  CUDA official sample codes
  ☆370Updated 10 years ago
• eegkno / CUDA_by_practice
  CUDA by practice
  ☆130Updated 5 years ago