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