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/* Computation of eigenvalues of symmetric, tridiagonal matrix using
 * bisection.
 */

// includes, system
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#include <float.h>
#include <assert.h>

// includes, project
#include <helper_functions.h>
#include <helper_cuda.h>
#include "config.h"
#include "structs.h"
#include "matlab.h"
#include "util.h"
#include "gerschgorin.h"

#include "bisect_small.cuh"
#include "bisect_large.cuh"

////////////////////////////////////////////////////////////////////////////////
// declaration, forward
bool runTest(int argc, char **argv);

////////////////////////////////////////////////////////////////////////////////
// Program main
////////////////////////////////////////////////////////////////////////////////
int main(int argc, char **argv) {
  bool bQAResults = false;

  printf("Starting eigenvalues\n");

  bQAResults = runTest(argc, argv);
  printf("Test %s\n", bQAResults ? "Succeeded!" : "Failed!");

  exit(bQAResults ? EXIT_SUCCESS : EXIT_FAILURE);
}

////////////////////////////////////////////////////////////////////////////////
//! Initialize the input data to the algorithm
//! @param input  handles to the input data
//! @param exec_path  path where executable is run (argv[0])
//! @param mat_size  size of the matrix
//! @param user_defined  1 if the matrix size has been requested by the user,
//!                      0 if the default size
////////////////////////////////////////////////////////////////////////////////
void initInputData(InputData &input, char *exec_path,
                   const unsigned int mat_size,
                   const unsigned int user_defined) {
  // allocate memory
  input.a = (float *)malloc(sizeof(float) * mat_size);
  input.b = (float *)malloc(sizeof(float) * mat_size);

  if (1 == user_defined) {
    // initialize diagonal and superdiagonal entries with random values
    srand(278217421);

    // srand( clock());
    for (unsigned int i = 0; i < mat_size; ++i) {
      input.a[i] = (float)(2.0 * (((double)rand() / (double)RAND_MAX) - 0.5));
      input.b[i] = (float)(2.0 * (((double)rand() / (double)RAND_MAX) - 0.5));
    }

    // the first element of s is used as padding on the device (thus the
    // whole vector is copied to the device but the kernels are launched
    // with (s+1) as start address
    input.b[0] = 0.0f;
  } else {
    // read default matrix
    unsigned int input_data_size = mat_size;
    char *diag_path = sdkFindFilePath("diagonal.dat", exec_path);
    assert(NULL != diag_path);
    sdkReadFile(diag_path, &(input.a), &input_data_size, false);

    char *sdiag_path = sdkFindFilePath("superdiagonal.dat", exec_path);
    assert(NULL != sdiag_path);
    sdkReadFile(sdiag_path, &(input.b), &input_data_size, false);

    free(diag_path);
    free(sdiag_path);
  }

  // allocate device memory for input
  checkCudaErrors(cudaMalloc((void **)&(input.g_a), sizeof(float) * mat_size));
  checkCudaErrors(
      cudaMalloc((void **)&(input.g_b_raw), sizeof(float) * mat_size));

  // copy data to device
  checkCudaErrors(cudaMemcpy(input.g_a, input.a, sizeof(float) * mat_size,
                             cudaMemcpyHostToDevice));
  checkCudaErrors(cudaMemcpy(input.g_b_raw, input.b, sizeof(float) * mat_size,
                             cudaMemcpyHostToDevice));

  input.g_b = input.g_b_raw + 1;
}

////////////////////////////////////////////////////////////////////////////////
//! Clean up input data, in particular allocated memory
//! @param input  handles to the input data
////////////////////////////////////////////////////////////////////////////////
void cleanupInputData(InputData &input) {
  freePtr(input.a);
  freePtr(input.b);

  checkCudaErrors(cudaFree(input.g_a));
  input.g_a = NULL;
  checkCudaErrors(cudaFree(input.g_b_raw));
  input.g_b_raw = NULL;
  input.g_b = NULL;
}

////////////////////////////////////////////////////////////////////////////////
//! Check if a specific matrix size has to be used
//! @param argc  number of command line arguments (from main(argc, argv)
//! @param argv  pointers to command line arguments (from main(argc, argv)
//! @param matrix_size  size of matrix, updated if specific size specified on
//!                     command line
////////////////////////////////////////////////////////////////////////////////
void getMatrixSize(int argc, char **argv, unsigned int &mat_size,
                   unsigned int &user_defined) {
  int temp = -1;

  if (checkCmdLineFlag(argc, (const char **)argv, "matrix-size")) {
    temp = getCmdLineArgumentInt(argc, (const char **)argv, "matrix-size");
  }

  if (temp > 0) {
    mat_size = (unsigned int)temp;
    // data type short is used in the kernel
    assert(mat_size < (1 << 16));

    // mat_size should be large than 2
    assert(mat_size >= 2);

    user_defined = 1;
  }

  printf("Matrix size: %i x %i\n", mat_size, mat_size);
}

////////////////////////////////////////////////////////////////////////////////
//! Check if a specific precision of the eigenvalue has to be obtained
//! @param argc  number of command line arguments (from main(argc, argv)
//! @param argv  pointers to command line arguments (from main(argc, argv)
//! @param iters_timing  numbers of iterations for timing, updated if a
//!                      specific number is specified on the command line
//! @param user_defined  1 if the precision has been requested by the user,
//!                      0 if the default size
////////////////////////////////////////////////////////////////////////////////
void getPrecision(int argc, char **argv, float &precision,
                  unsigned int &user_defined) {
  float temp = -1.0f;

  if (checkCmdLineFlag(argc, (const char **)argv, "precision")) {
    temp = getCmdLineArgumentFloat(argc, (const char **)argv, "precision");
    printf("Precision is between [0.001, 0.000001]\n");
  }

  if (temp > 1e-6 && temp <= 0.001) {
    precision = temp;
    user_defined = 1;
  }

  printf("Precision: %f\n", precision);
}

////////////////////////////////////////////////////////////////////////////////
//! Check if a particular number of iterations for timings has to be used
//! @param argc  number of command line arguments (from main(argc, argv)
//! @param argv  pointers to command line arguments (from main(argc, argv)
//! @param  iters_timing  number of timing iterations, updated if user
//!                       specific value
////////////////////////////////////////////////////////////////////////////////
void getItersTiming(int argc, char **argv, unsigned int &iters_timing) {
  int temp = -1;

  if (checkCmdLineFlag(argc, (const char **)argv, "iters-timing")) {
    temp = getCmdLineArgumentInt(argc, (const char **)argv, "iters-timing");
  }

  if (temp > 0) {
    iters_timing = temp;
  }

  printf("Iterations to be timed: %i\n", iters_timing);
}

////////////////////////////////////////////////////////////////////////////////
//! Check if a particular filename has to be used for the file where the result
//! is stored
//! @param argc  number of command line arguments (from main(argc, argv)
//! @param argv  pointers to command line arguments (from main(argc, argv)
//! @param  filename  filename of result file, updated if user specified
//!                   filename
////////////////////////////////////////////////////////////////////////////////
void getResultFilename(int argc, char **argv, char *&filename) {
  char *temp = NULL;
  getCmdLineArgumentString(argc, (const char **)argv, "filename-result", &temp);

  if (NULL != temp) {
    filename = (char *)malloc(sizeof(char) * strlen(temp));
    strcpy(filename, temp);

    free(temp);
  }

  printf("Result filename: '%s'\n", filename);
}

////////////////////////////////////////////////////////////////////////////////
//! Run a simple test for CUDA
////////////////////////////////////////////////////////////////////////////////
bool runTest(int argc, char **argv) {
  bool bCompareResult = false;

  findCudaDevice(argc, (const char **)argv);

  StopWatchInterface *timer = NULL;
  StopWatchInterface *timer_total = NULL;
  sdkCreateTimer(&timer);
  sdkCreateTimer(&timer_total);

  // default
  unsigned int mat_size = 2048;
  // flag if the matrix size is due to explicit user request
  unsigned int user_defined = 0;
  // desired precision of eigenvalues
  float precision = 0.00001f;
  unsigned int iters_timing = 100;
  char *result_file = (char *)"eigenvalues.dat";

  // check if there is a command line request for the matrix size
  getMatrixSize(argc, argv, mat_size, user_defined);

  // check if user requested specific precision
  getPrecision(argc, argv, precision, user_defined);

  // check if user requested specific number of iterations for timing
  getItersTiming(argc, argv, iters_timing);

  // file name for result file
  getResultFilename(argc, argv, result_file);

  // set up input
  InputData input;
  initInputData(input, argv[0], mat_size, user_defined);

  // compute Gerschgorin interval
  float lg = FLT_MAX;
  float ug = -FLT_MAX;
  computeGerschgorin(input.a, input.b + 1, mat_size, lg, ug);
  printf("Gerschgorin interval: %f / %f\n", lg, ug);

  // two kernels, for small matrices a lot of overhead can be avoided
  if (mat_size <= MAX_SMALL_MATRIX) {
    // initialize memory for result
    ResultDataSmall result;
    initResultSmallMatrix(result, mat_size);

    // run the kernel
    computeEigenvaluesSmallMatrix(input, result, mat_size, lg, ug, precision,
                                  iters_timing);

    // get the result from the device and do some sanity checks,
    // save the result
    processResultSmallMatrix(input, result, mat_size, result_file);

    // clean up
    cleanupResultSmallMatrix(result);

    printf("User requests non-default argument(s), skipping self-check!\n");
    bCompareResult = true;
  } else {
    // initialize memory for result
    ResultDataLarge result;
    initResultDataLargeMatrix(result, mat_size);

    // run the kernel
    computeEigenvaluesLargeMatrix(input, result, mat_size, precision, lg, ug,
                                  iters_timing);

    // get the result from the device and do some sanity checks
    // save the result if user specified matrix size
    bCompareResult = processResultDataLargeMatrix(
        input, result, mat_size, result_file, user_defined, argv[0]);

    // cleanup
    cleanupResultDataLargeMatrix(result);
  }

  cleanupInputData(input);

  return bCompareResult;
}