hpc-2022-g3/cuda/lab2/exercise3.cu

/*
 * BSD 2-Clause License
 * 
 * Copyright (c) 2020, Alessandro Capotondi
 * All rights reserved.
 * 
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 * 
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/**
 * @file exercise3.cu
 * @author Alessandro Capotondi
 * @date 5 May 2020
 * @brief Exercise 3 - Image Luminance Histogram
 * 
 * @see https://dolly.fim.unimore.it/2019/course/view.php?id=152
 */

#include <stdio.h>
#include <time.h>
#include <sys/time.h>
#include <opencv2/opencv.hpp>
#include <opencv2/imgcodecs/imgcodecs.hpp>
#include <opencv2/objdetect/objdetect.hpp>
#include <opencv2/highgui/highgui.hpp>

using namespace cv;
using namespace std;

#ifndef BLOCK_SIZE
#define BLOCK_SIZE 32
#endif

#define gpuErrchk(ans)                        \
    {                                         \
        gpuAssert((ans), __FILE__, __LINE__); \
    }
static inline void gpuAssert(cudaError_t code, const char *file, int line, bool abort = true)
{
    if (code != cudaSuccess)
    {
        fprintf(stderr, "GPUassert: %s %s %d\n", cudaGetErrorString(code), file, line);
        if (abort)
            exit(code);
    }
}

extern "C"
{
#include "utils.h"
}

#define NBINS 256

void hist(unsigned char *__restrict__ im, int *__restrict__ hist, int width, int height)
{
#pragma omp parallel for
    for (int i = 0; i < width * height; i++)
    {
        int val = im[i];
#pragma omp atomic
        hist[val]++;
    }
}

//TODO Ex3-a) Implement Histogram Calculation. Using Global Accesses
__global__ void hist_v1(unsigned char *__restrict__ im, int *__restrict__ hist, int width, int height)
{
}

//TODO Ex3-b) Implement Histogram Calculation. Exploiting Shared Memory
__global__ void hist_v2(unsigned char *__restrict__ im, int *__restrict__ hist, int width, int height)
{
}

int main(int argc, char *argv[])
{
    int iret = 0;
    struct timespec rt[2];
    double wt; // walltime
    int hist_host[NBINS], hist_gpu[NBINS];
    string filename("data/buzz.jpg");

    if (argc > 1)
        filename = argv[1];

    // Load Image
    Mat image = imread(filename, IMREAD_GRAYSCALE);
    if (!image.data)
    {
        cout << "Could not open or find the image" << std::endl;
        return -1;
    }

    int width = image.size().width;
    int height = image.size().height;

    // Set Output Memory
    memset(hist_host, 0, NBINS * sizeof(int));
    memset(hist_gpu, 0, NBINS * sizeof(int));

    // Compute CPU Version - Golden Model
    clock_gettime(CLOCK_REALTIME, rt + 0);
    hist(image.ptr(), hist_host, width, height);
    clock_gettime(CLOCK_REALTIME, rt + 1);
    wt = (rt[1].tv_sec - rt[0].tv_sec) + 1.0e-9 * (rt[1].tv_nsec - rt[0].tv_nsec);
    printf("Hist (Host) : %9.6f sec\n", wt);

    //CUDA Buffer Allocation
    int *d_hist_gpu;
    unsigned char *d_image;
    gpuErrchk(cudaMalloc((void **)&d_hist_gpu, sizeof(int) * NBINS));
    gpuErrchk(cudaMalloc((void **)&d_image, sizeof(unsigned char) * width * height));

    clock_gettime(CLOCK_REALTIME, rt + 0);
    //TODO Copy Image to the device
    
    //TODO Define Grid and Block
    
    //TODO Launch Kernel hist_v1

    gpuErrchk(cudaPeekAtLastError());
    //TODO Copy histogram from the device

    clock_gettime(CLOCK_REALTIME, rt + 1);
    wt = (rt[1].tv_sec - rt[0].tv_sec) + 1.0e-9 * (rt[1].tv_nsec - rt[0].tv_nsec);
    printf("Hist (GPU) : %9.6f sec\n", wt);

    for (int i = 0; i < NBINS; i++)
    {
        iret = *(int *)(hist_host + i) ^ *(int *)(hist_gpu + i);
        assert(iret == 0);
    }
    // Reset Output
    gpuErrchk(cudaMemset(d_hist_gpu, 0, NBINS * sizeof(unsigned int)));

    clock_gettime(CLOCK_REALTIME, rt + 0);
    //TODO Copy Image to the device

    //Use the same dimBlock, dimGrid of previous version
    //TODO Launch Kernel hist_v2

    gpuErrchk(cudaPeekAtLastError());
    //TODO Copy histogram from the device

    clock_gettime(CLOCK_REALTIME, rt + 1);
    wt = (rt[1].tv_sec - rt[0].tv_sec) + 1.0e-9 * (rt[1].tv_nsec - rt[0].tv_nsec);
    printf("Hist-2 (GPU) : %9.6f sec\n", wt);

    for (int i = 0; i < NBINS; i++)
    {
        iret = *(int *)(hist_host + i) ^ *(int *)(hist_gpu + i);
        assert(iret == 0);
    }

    gpuErrchk(cudaFree(d_hist_gpu));
    gpuErrchk(cudaFree(d_image));

    return iret;
}