csci5451/assignments/04/km_cuda.cu

// #define _POSIX_C_SOURCE 200809L
#include <stdio.h>

#define CUDACHECK(err)                                                         \
  do {                                                                         \
    cuda_check((err), __FILE__, __LINE__);                                     \
  } while (false)
inline void cuda_check(cudaError_t error_code, const char *file, int line) {
  if (error_code != cudaSuccess) {
    fprintf(stderr, "CUDA Error %d: %s. In file '%s' on line %d\n", error_code,
            cudaGetErrorString(error_code), file, line);
    fflush(stderr);
    exit(error_code);
  }
}

__global__ void findDistanceToCentroid(float *centroidDistances, float *data) {
  centroidDistances[blockIdx.x] = blockIdx.x;
}

int main(int argc, char **argv) {
  int runtimeVersion, driverVersion;
  cudaRuntimeGetVersion(&runtimeVersion);
  cudaDriverGetVersion(&driverVersion);
  printf("Runtime Version: %d, Driver Version: %d\n", runtimeVersion,
         driverVersion);

  char *data_file = argv[1];
  int num_clusters = atoi(argv[2]);
  int num_thread_blocks = atoi(argv[3]);
  int num_threads_per_block = atoi(argv[4]);

  int N, dim;
  float *centroids, *data, *centroidDistances;
  int *clusterMap;

#pragma region Read in data
  {
    FILE *fp = fopen(data_file, "r");

    // Read first line
    size_t n;
    char *line = NULL;
    if (!getline(&line, &n, fp))
      return -1;

    sscanf(line, "%d %d", &N, &dim);
    free(line);
    line = NULL;

    // Allocate memory on the GPU
    CUDACHECK(
        cudaMalloc((void **)&centroids, num_clusters * dim * sizeof(float)));
    cudaMalloc((void **)&clusterMap, N * sizeof(int));
    cudaMalloc((void **)&data, N * dim * sizeof(float));
    cudaMalloc((void **)&centroidDistances, N * num_clusters * sizeof(float));

    // Read the rest of the lines
    {
      // Buffer for copying
      int *currentLine = (int *)malloc(dim * sizeof(int));
      for (int i = 0; i < N; ++i) {
        if (!getline(&line, &n, fp))
          return -1;

        for (int j = 0; j < dim; ++j)
          sscanf(line, "%d", &currentLine[j]);

        cudaMemcpy(&data[i * dim], currentLine, dim * sizeof(float),
                   cudaMemcpyHostToDevice);
      }
      free(currentLine);
    }

    printf("Done copying.\n");

    fclose(fp);
  }
#pragma endregion

#pragma region Select the initial K centroids
  {
    cudaMemcpy(centroids, data, num_clusters * dim * sizeof(float),
               cudaMemcpyDeviceToDevice);
  }
#pragma endregion

#pragma region Assign each data point to the closest centroid,                 \
    measured via Euclidean distance.
  {
    findDistanceToCentroid<<<10, 10>>>(centroidDistances, data);
    cudaDeviceSynchronize();
    printf("Shiet\n");

    float wtf[10];
    cudaMemcpy(wtf, centroidDistances, 10 * sizeof(float),
               cudaMemcpyDeviceToHost);
    for (int i = 0; i < 10; ++i) {
      printf("asdf %d %f\n", i, wtf[i]);
    }
  }
#pragma endregion

  return 0;
}