host.cpp

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//OpenCL utility layer include
#include "xcl2.hpp"
#include <iostream>
#include <vector>

#define DATA_SIZE 256
#define COLS 16

using namespace std;
int main(int argc, char** argv)
{
    //Allocate Memory in Host Memory
    size_t vector_size_bytes = sizeof(float) * DATA_SIZE;

    //Initialize inputs
    std::vector<float,aligned_allocator<float>> source_input1     (DATA_SIZE);
    std::vector<float,aligned_allocator<float>> source_input2     (DATA_SIZE);
    std::vector<float,aligned_allocator<float>> source_hw_results(DATA_SIZE);
    std::vector<float,aligned_allocator<float>> source_sw_results(DATA_SIZE);

    // Create the test data and Software Result 
    for(int i = 0 ; i < DATA_SIZE ; i++){
        source_input1[i] = i;
        source_input2[i] = i;
        source_hw_results[i] = 0;
    }

    //software matrix multiplier

    for(int i =0; i< DATA_SIZE/COLS ;i++)
    	 for(int j = 0;j<COLS;j++)
    	 {   int temp =0;
    		 for(int k = 0;k< COLS;k++)
    		 temp = temp + source_input1[i*COLS + k] * source_input2[k*COLS +j];
    		 source_sw_results[i*COLS +j] = temp;

    	 }

  //  for(int i= 0;i< DATA_SIZE;i++)
   // 	cout<<source_sw_results[i]<<endl;
//OPENCL HOST CODE AREA START
    std::vector<cl::Device> devices = xcl::get_xil_devices();
    cl::Device device = devices[0];

    cl::Context context(device);
    cl::CommandQueue q(context, device, CL_QUEUE_PROFILING_ENABLE);
    std::string device_name = device.getInfo<CL_DEVICE_NAME>(); 

    //Create Program and Kernel
    std::string binaryFile = xcl::find_binary_file(device_name,"mult");
    cl::Program::Binaries bins = xcl::import_binary_file(binaryFile);
    devices.resize(1);
    cl::Program program(context, devices, bins);
    cl::Kernel krnl_mult(program,"mult");

    //Allocate Buffer in Global Memory
    cl::Buffer buffer_input1 (context, CL_MEM_READ_ONLY,
                        vector_size_bytes);
    cl::Buffer buffer_input2 (context, CL_MEM_READ_ONLY,
                           vector_size_bytes);
    cl::Buffer buffer_output(context, CL_MEM_WRITE_ONLY, 
                            vector_size_bytes);

    //Copy input data to device global memory
    q.enqueueWriteBuffer(buffer_input1, CL_TRUE, 0, vector_size_bytes, source_input1.data());
    q.enqueueWriteBuffer(buffer_input2, CL_TRUE, 0, vector_size_bytes, source_input2.data());

   // int inc = INCR_VALUE;
    int size = DATA_SIZE;
    int cols = COLS;
    //Set the Kernel Arguments
    int narg=0;
    krnl_mult.setArg(narg++,buffer_input1);
    krnl_mult.setArg(narg++,buffer_input2);
    krnl_mult.setArg(narg++,buffer_output);
    krnl_mult.setArg(narg++,cols);

    //Launch the Kernel
    q.enqueueNDRangeKernel(krnl_mult,cl::NullRange,cl::NDRange(cols,size/cols),cl::NullRange);

    //Copy Result from Device Global Memory to Host Local Memory
    q.enqueueReadBuffer(buffer_output, CL_TRUE, 0, vector_size_bytes, source_hw_results.data());

    q.finish();

//OPENCL HOST CODE AREA END
    
    // Compare the results of the Device to the simulation
    bool match = true;
    for (int i = 0 ; i < DATA_SIZE ; i++){
        if (source_hw_results[i] != source_sw_results[i]){
            std::cout << "Error: Result mismatch" << std::endl;
            std::cout << "i = " << i << " CPU result = " << source_sw_results[i]
                << " Device result = " << source_hw_results[i] << std::endl;
            match = false;
          break;
       }
    }

    std::cout << "TEST " << (match ? "PASSED" : "FAILED") << std::endl; 
    return (match ? EXIT_SUCCESS :  EXIT_FAILURE);
}