OpenCL二维数组乘法

我刚刚开始尝试使用OpenCL。我试着做一个核函数它将两个二维数组相乘。我已经用向量做过了，但是在二维中，我只得到第一行的结果。我已经尝试实现一些我发现的解决方案，但每一个人都只搞乱了第一行。执行过程中的图像:https://i.stack.imgur.com/JmlAA.png

这是我的主机文件:

#include "stdafx.h"
#include <CL/cl.hpp>
#include <vector>
#include <iostream>
#include "util.hpp" // utility library   
#define __CL_ENABLE_EXCEPTIONS
#define ROWS (5)
#define COLUMNS (5)
#include "metrics.h"
/*Start main()*/
int main(void)
{
    int A = 4;
    /*Define the vectors for operands and result*/
    float** h_x = new float*[ROWS];
    float** h_y = new float*[ROWS];
    float** h_s = new float*[ROWS];
    for (int i = 0; i < ROWS; ++i){
        h_x[i] = new float[COLUMNS];
    }
    for (int i = 0; i < ROWS; ++i){
        h_y[i] = new float[COLUMNS];
    }
    for (int i = 0; i < ROWS; ++i){
        h_s[i] = new float[COLUMNS];
    }
    // Fill vectors a and b with random float values
    for (int i = 0; i < ROWS; i++)
    {
        for (int j = 0; j < COLUMNS; j++){
            h_x[i][j] = rand() / (float)RAND_MAX;
            h_y[i][j] = rand() / (float)RAND_MAX;
            h_s[i][j] = 0.0;
        }   
    }
    /*~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~*/
    // Get all platforms (drivers)
    std::vector<cl::Platform> all_platforms;
    cl::Platform::get(&all_platforms);

    if (all_platforms.size() == 0){ // Check for issues
        std::cout << " No platforms found. Check OpenCL installation!n";
        exit(1);
    }
    cl::Platform default_platform = all_platforms[0];
    std::cout << "Using platform: " << default_platform.getInfo<CL_PLATFORM_NAME>() << "n";
    // Get default device of the default platform
    std::vector<cl::Device> all_devices;
    default_platform.getDevices(CL_DEVICE_TYPE_ALL, &all_devices);
    if (all_devices.size() == 0){ // Check for issues
        std::cout << " No devices found. Check OpenCL installation!n";
        exit(1);
    }
    cl::Device default_device = all_devices[0];
    std::cout << "Using device: " << default_device.getInfo<CL_DEVICE_NAME>() << "n";
    // Create an OpenCL context
    cl::Context context({ default_device });
    cl::Program program(context, util::loadProgram("saxy_kernel.cl"), true);
    if (program.build({ default_device }) != CL_SUCCESS){
        std::cout << " Error building: " << program.getBuildInfo<CL_PROGRAM_BUILD_LOG>(default_device) << "n";
        getchar();
        exit(1);
    }
    // create buffers on the device
    cl::Buffer buffer_X(context, CL_MEM_READ_WRITE, sizeof(float)* ROWS*COLUMNS);
    cl::Buffer buffer_Y(context, CL_MEM_READ_WRITE, sizeof(float)* ROWS*COLUMNS);
    cl::Buffer buffer_S(context, CL_MEM_READ_WRITE, sizeof(float)* ROWS*COLUMNS);
    cl::Buffer buffer_A(context, CL_MEM_READ_WRITE, sizeof(int));
    //create queue to which we will push commands for the device.
    cl::CommandQueue queue(context, default_device);

    StartCounter();
    //write arrays A and B to the device
    queue.enqueueWriteBuffer(buffer_X, CL_TRUE, 0, sizeof(float)* ROWS*COLUMNS, &h_x[0][0]);
    queue.enqueueWriteBuffer(buffer_Y, CL_TRUE, 0, sizeof(float)* ROWS*COLUMNS, &h_y[0][0]);
    queue.enqueueWriteBuffer(buffer_A, CL_TRUE, 0, sizeof(int), &A);
    //run the kernel
    cl::Kernel kernel_add = cl::Kernel(program, "simple_add");
    kernel_add.setArg(0, buffer_X);
    kernel_add.setArg(1, buffer_Y);
    kernel_add.setArg(2, buffer_S);
    kernel_add.setArg(3, buffer_A);
    queue.enqueueNDRangeKernel(kernel_add, cl::NullRange, cl::NDRange(5,5), cl::NullRange);
    queue.finish();
    //read result C from the device to array C
    queue.enqueueReadBuffer(buffer_S, CL_TRUE, 0, sizeof(float)* ROWS * COLUMNS, &h_s[0][0]);
    std::cout << "Kernel execution time: " << GetCounter() << "ms n";
    /*Print vectors*/
    std::cout << "nMatrix #1: n";
    for (int i = 0; i<ROWS; i++){
        std::cout << "n";
        for (int j = 0; j<COLUMNS; j++){
            std::cout << "" << h_x[i][j] << "t ";
        }
    }
    std::cout << "nnMatrix #2: n";
    for (int i = 0; i<ROWS; i++){
        std::cout << "n";
        for (int j = 0; j<COLUMNS; j++){
            std::cout << "" << h_y[i][j] << "t ";
        }
    }
    std::cout << "nnResult: n";
    for (int i = 0; i<ROWS; i++){
        std::cout << "n";
        for (int j = 0; j<COLUMNS; j++){
            std::cout << "" << h_s[i][j] << "t ";
        }
    }
    getchar();
    return 0;
}

这里是内核:

__kernel void kernel simple_add(
   __global float* X, 
   __global float* Y, 
   __global float* S, 
   __global int *A){
   S[get_global_id(0)] = X[get_global_id(0)] * Y[get_global_id(0)];
/* Var defs
   int k;
   int i = get_global_id(0);
   int j = get_global_id(1);
   float tmp;
   if ( (i < 5) && (j < 5))
   {
       tmp = 0.0;
       for(k=0;k<5;k++)
           tmp += X[i*5+k] * Y[k*5+j];
       S[i*5+j] = tmp;
   }*/
}

我确信我做了一些真的错了，但我找不到它是什么。