My CUDA Work

A repository to store my cuda codes, including some common-used kernels.

Deps

You are supposed to get a GPU workspace first, below is one of the succeeded dep combinations,

• Ubuntu 16.04
• cmake 3.15.6
• Opencv ≥ 3.1
• CUDA 10.0
• CuDNN v7.6.5

Execution

git clone https://github.com/haoyuanz13/My-CUDA-Work.git
cd My-CUDA-Work

Before compiling, change the DCUDNN_LIBRARY in the file compile.sh, then,

sh compile.sh
sh run.sh

Clarification

All the demo main codes are stored in the folder src that are implemented via cpp, and the kernels also other further header files will be ordered under the common.

In addition, some of the cuda kernel implementation topics are listed below, will keep learning and uploading,

• The gray image normalization, check src/main_gray_normalize.cpp
• The rgb image normalization, including channels flip, e.g. bgr to rgb, NHWC to NCHW, check src/main_bgr2rgb_normalize.cpp
• The center-aligned based image padding, check src/main_center_aligned_padding.cpp
• The cv::copyTo cuda version implementation, check src/main_copyto.cpp
• The biliner interpolation based image resize, check src/main_bilinear_inter_resize.cpp
• The feature map postprocess for the classification scenario, using reducing algorithm, check src/main_reduce_postprocess_cls.cpp
• The matrix transpose operation kernel implementation, check src/main_matrix_transpose.cpp
• The matrix multiplication operation kernel implementation, check src/main_matrix_multiplication.cpp
• The bitonic sort kernel implementation, check src/main_bitonic_sort.cpp
• The image dilate and erode kernel using vHGW algorithm, check src/main_erode_dilate.cpp
• The integrated cuda icp tool, check the sub-directory cuda-icp

More things

Just feel free to check this repository, also will be pleasure if these stuffs would do a favor to you.