文件列表:

CNN Convolution (0, 2018-07-21)
CNN Convolution\Conv2D.cl (835, 2018-07-21)
CNN Convolution\Matlab src (0, 2018-07-21)
CNN Convolution\Matlab src\sobel_conv.m (2024, 2018-07-21)
CNN Convolution\main.cpp (4682, 2018-07-21)
moving_average_filter1 (0, 2018-07-21)
moving_average_filter1\main.cpp (2805, 2018-07-21)
moving_average_filter1\moving_average.cl (719, 2018-07-21)
moving_average_filter1\stock_array1.txt (395, 2018-07-21)
moving_average_filter2 (0, 2018-07-21)
moving_average_filter2\main.cpp (3831, 2018-07-21)
moving_average_filter2\moving_average_vec4.cl (973, 2018-07-21)
moving_average_filter2\stock_array_4.txt (327, 2018-07-21)
moving_average_filter3 (0, 2018-07-21)
moving_average_filter3\main.cpp (3802, 2018-07-21)
moving_average_filter3\moving_average_many.cl (761, 2018-07-21)
moving_average_filter3\stock_array_many.txt (655, 2018-07-21)
moving_average_filter4 (0, 2018-07-21)
moving_average_filter4\main.cpp (4315, 2018-07-21)
moving_average_filter4\moving_average_vec4_para.cl (743, 2018-07-21)
moving_average_filter4\stock_array_vec4_par.txt (655, 2018-07-21)
moving_average_filter5 (0, 2018-07-21)
moving_average_filter5\main.cpp (5146, 2018-07-21)
moving_average_filter5\moving_average_vec4.cl (845, 2018-07-21)
moving_average_filter5\stock_array_4.txt (1562, 2018-07-21)
work_id_1dim (0, 2018-07-21)
work_id_1dim\add_vec.cl (418, 2018-07-21)
work_id_1dim\main.cpp (4771, 2018-07-21)
work_id_2dim_pooling (0, 2018-07-21)
work_id_2dim_pooling\main.cpp (4655, 2018-07-21)
work_id_2dim_pooling\pooling.cl (923, 2018-07-21)

# OpenCL-Programming-Examples These are OpenCL Programming Examples for learning. The codes are running with Visual Stdio 2017, you need to setup your tool to run OpenCL porgrams firstly. Codes are copied from "The OpenCL Programming Book" which are marked with "TOPB". If this makes you unhappy, please contact me to delete. CNN Convolution (20180721) ### >function: for convoluational operation in CNN of Deep Learning main.cpp : host program Conv2D.cl : 2 dimension convolution work_id_2dim_pooling(20180524) ### >function: output global id and local id of work-items for 2 dimensions data main.cpp : host program pooling.cl : opencl kernel, deep learning max pooling , pooling size 2*2 work_id_1dim(20180524) ### >function: output global id and local id of work-items for 1 dimesion data main.cpp : host program add_vec.cl : opencl kernel moving_average_filter5 ("TOPB") ### >function: process 4 channels data of stock price based on kernel based on task parallel model main.cpp : host program moving_average_vec4.cl : opencl kernel stock_array_4.txt : test file moving_average_filter4 ("TOPB") ### >function: process 8 channels data of stock price based on kernel based on data parallel model main.cpp : host program moving_average_vec4_para.cl : opencl kernel stock_array_vec4_par.txt : test file moving_average_filter3 ("TOPB") ### >function: process 8 channels data of stock price based on kernel "moving_average_vec4.cl" main.cpp : host program moving_average_many.cl : opencl kernel stock_array_many.txt : test file moving_average_filter2 ("TOPB") ### > function: process 4 channels data of stock price at one time main.cpp : host program moving_average_vec4.cl : opencl kernel stock_array_4.txt : test file moving_average_filter1 ("TOPB") ### >function: process one channel data of stock price main.cpp : host program moving_average.cl : opencl kernel stock_array1.txt : test file

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