mirror of
https://github.com/Steffo99/unimore-hpc-assignments.git
synced 2024-11-23 16:44:22 +00:00
149 lines
3.7 KiB
C
149 lines
3.7 KiB
C
#include <stdio.h>
|
|
#include <unistd.h>
|
|
#include <string.h>
|
|
#include <math.h>
|
|
|
|
/* Include polybench common header. */
|
|
#include <polybench.h>
|
|
|
|
/* Include benchmark-specific header. */
|
|
/* Default data type is double, default size is 1000. */
|
|
#include "correlation.h"
|
|
|
|
|
|
/* Array initialization. */
|
|
static
|
|
void init_array (int m,
|
|
int n,
|
|
DATA_TYPE *float_n,
|
|
DATA_TYPE POLYBENCH_2D(data,M,N,m,n))
|
|
{
|
|
int i, j;
|
|
|
|
*float_n = 1.2;
|
|
|
|
for (i = 0; i < m; i++)
|
|
for (j = 0; j < n; j++)
|
|
data[i][j] = ((DATA_TYPE) i*j) / M;
|
|
}
|
|
|
|
|
|
/* DCE code. Must scan the entire live-out data.
|
|
Can be used also to check the correctness of the output. */
|
|
static
|
|
void print_array(int m,
|
|
DATA_TYPE POLYBENCH_2D(symmat,M,M,m,m))
|
|
|
|
{
|
|
int i, j;
|
|
|
|
for (i = 0; i < m; i++)
|
|
for (j = 0; j < m; j++) {
|
|
fprintf (stderr, DATA_PRINTF_MODIFIER, symmat[i][j]);
|
|
if ((i * m + j) % 20 == 0) fprintf (stderr, "\n");
|
|
}
|
|
fprintf (stderr, "\n");
|
|
}
|
|
|
|
|
|
/* Main computational kernel. The whole function will be timed,
|
|
including the call and return. */
|
|
static
|
|
void kernel_correlation(int m, int n,
|
|
DATA_TYPE float_n,
|
|
DATA_TYPE POLYBENCH_2D(data,M,N,m,n),
|
|
DATA_TYPE POLYBENCH_2D(symmat,M,M,m,m),
|
|
DATA_TYPE POLYBENCH_1D(mean,M,m),
|
|
DATA_TYPE POLYBENCH_1D(stddev,M,m))
|
|
{
|
|
int i, j, j1, j2;
|
|
|
|
DATA_TYPE eps = 0.1f;
|
|
|
|
#define sqrt_of_array_cell(x,j) sqrt(x[j])
|
|
|
|
/* Determine mean of column vectors of input data matrix */
|
|
for (j = 0; j < _PB_M; j++)
|
|
{
|
|
mean[j] = 0.0;
|
|
for (i = 0; i < _PB_N; i++)
|
|
mean[j] += data[i][j];
|
|
mean[j] /= float_n;
|
|
}
|
|
/* Determine standard deviations of column vectors of data matrix. */
|
|
for (j = 0; j < _PB_M; j++)
|
|
{
|
|
stddev[j] = 0.0;
|
|
for (i = 0; i < _PB_N; i++)
|
|
stddev[j] += (data[i][j] - mean[j]) * (data[i][j] - mean[j]);
|
|
stddev[j] /= float_n;
|
|
stddev[j] = sqrt_of_array_cell(stddev, j);
|
|
/* The following in an inelegant but usual way to handle
|
|
near-zero std. dev. values, which below would cause a zero-
|
|
divide. */
|
|
stddev[j] = stddev[j] <= eps ? 1.0 : stddev[j];
|
|
}
|
|
|
|
/* Center and reduce the column vectors. */
|
|
for (i = 0; i < _PB_N; i++)
|
|
for (j = 0; j < _PB_M; j++)
|
|
{
|
|
data[i][j] -= mean[j];
|
|
data[i][j] /= sqrt(float_n) * stddev[j];
|
|
}
|
|
|
|
/* Calculate the m * m correlation matrix. */
|
|
for (j1 = 0; j1 < _PB_M-1; j1++)
|
|
{
|
|
symmat[j1][j1] = 1.0;
|
|
for (j2 = j1+1; j2 < _PB_M; j2++)
|
|
{
|
|
symmat[j1][j2] = 0.0;
|
|
for (i = 0; i < _PB_N; i++)
|
|
symmat[j1][j2] += (data[i][j1] * data[i][j2]);
|
|
symmat[j2][j1] = symmat[j1][j2];
|
|
}
|
|
}
|
|
symmat[_PB_M-1][_PB_M-1] = 1.0;
|
|
}
|
|
|
|
int main(int argc, char** argv)
|
|
{
|
|
/* Retrieve problem size. */
|
|
int n = N;
|
|
int m = M;
|
|
|
|
/* Variable declaration/allocation. */
|
|
DATA_TYPE float_n;
|
|
POLYBENCH_2D_ARRAY_DECL(data,DATA_TYPE,M,N,m,n);
|
|
POLYBENCH_2D_ARRAY_DECL(symmat,DATA_TYPE,M,M,m,m);
|
|
POLYBENCH_1D_ARRAY_DECL(mean,DATA_TYPE,M,m);
|
|
POLYBENCH_1D_ARRAY_DECL(stddev,DATA_TYPE,M,m);
|
|
|
|
/* Initialize array(s). */
|
|
init_array (m, n, &float_n, POLYBENCH_ARRAY(data));
|
|
|
|
/* Start timer. */
|
|
polybench_start_instruments;
|
|
/* Run kernel. */
|
|
kernel_correlation (m, n, float_n,
|
|
POLYBENCH_ARRAY(data),
|
|
POLYBENCH_ARRAY(symmat),
|
|
POLYBENCH_ARRAY(mean),
|
|
POLYBENCH_ARRAY(stddev));
|
|
/* Stop and print timer. */
|
|
polybench_stop_instruments;
|
|
polybench_print_instruments;
|
|
|
|
/* Prevent dead-code elimination. All live-out data must be printed
|
|
by the function call in argument. */
|
|
polybench_prevent_dce(print_array(m, POLYBENCH_ARRAY(symmat)));
|
|
|
|
/* Be clean. */
|
|
POLYBENCH_FREE_ARRAY(data);
|
|
POLYBENCH_FREE_ARRAY(symmat);
|
|
POLYBENCH_FREE_ARRAY(mean);
|
|
POLYBENCH_FREE_ARRAY(stddev);
|
|
|
|
return 0;
|
|
}
|