mirror of
https://github.com/autc04/Retro68.git
synced 2024-11-28 05:51:04 +00:00
467 lines
7.7 KiB
C
467 lines
7.7 KiB
C
/* { dg-do run { target openacc_nvidia_accel_selected } } */
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/* { dg-additional-options "-lcuda" } */
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#include <openacc.h>
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#include <stdlib.h>
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#include "cuda.h"
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#include <stdio.h>
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#include <sys/time.h>
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int
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main (int argc, char **argv)
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{
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CUresult r;
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CUstream stream1;
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int N = 128; //1024 * 1024;
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float *a, *b, *c, *d, *e;
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int i;
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int nbytes;
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acc_init (acc_device_nvidia);
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nbytes = N * sizeof (float);
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a = (float *) malloc (nbytes);
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b = (float *) malloc (nbytes);
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c = (float *) malloc (nbytes);
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d = (float *) malloc (nbytes);
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e = (float *) malloc (nbytes);
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for (i = 0; i < N; i++)
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{
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a[i] = 3.0;
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b[i] = 0.0;
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}
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#pragma acc data copy (a[0:N]) copy (b[0:N]) copyin (N)
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{
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#pragma acc parallel async
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{
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int ii;
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for (ii = 0; ii < N; ii++)
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b[ii] = a[ii];
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}
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#pragma acc wait
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}
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for (i = 0; i < N; i++)
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{
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if (a[i] != 3.0)
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abort ();
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if (b[i] != 3.0)
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abort ();
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}
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for (i = 0; i < N; i++)
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{
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a[i] = 2.0;
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b[i] = 0.0;
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}
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#pragma acc data copy (a[0:N]) copy (b[0:N]) copyin (N)
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{
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#pragma acc parallel async (1)
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{
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int ii;
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for (ii = 0; ii < N; ii++)
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b[ii] = a[ii];
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}
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#pragma acc wait (1)
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}
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for (i = 0; i < N; i++)
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{
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if (a[i] != 2.0)
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abort ();
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if (b[i] != 2.0)
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abort ();
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}
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for (i = 0; i < N; i++)
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{
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a[i] = 3.0;
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b[i] = 0.0;
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c[i] = 0.0;
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d[i] = 0.0;
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}
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#pragma acc data copy (a[0:N]) copy (b[0:N]) copy (c[0:N]) copy (d[0:N]) copyin (N)
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{
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#pragma acc parallel async (1)
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{
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int ii;
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for (ii = 0; ii < N; ii++)
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b[ii] = (a[ii] * a[ii] * a[ii]) / a[ii];
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}
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#pragma acc parallel async (1)
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{
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int ii;
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for (ii = 0; ii < N; ii++)
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c[ii] = (a[ii] + a[ii] + a[ii] + a[ii]) / a[ii];
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}
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#pragma acc parallel async (1)
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{
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int ii;
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for (ii = 0; ii < N; ii++)
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d[ii] = ((a[ii] * a[ii] + a[ii]) / a[ii]) - a[ii];
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}
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#pragma acc wait (1)
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}
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for (i = 0; i < N; i++)
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{
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if (a[i] != 3.0)
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abort ();
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if (b[i] != 9.0)
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abort ();
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if (c[i] != 4.0)
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abort ();
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if (d[i] != 1.0)
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abort ();
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}
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for (i = 0; i < N; i++)
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{
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a[i] = 2.0;
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b[i] = 0.0;
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c[i] = 0.0;
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d[i] = 0.0;
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e[i] = 0.0;
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}
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#pragma acc data copy (a[0:N], b[0:N], c[0:N], d[0:N], e[0:N]) copyin (N)
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{
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#pragma acc parallel async (1)
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{
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int ii;
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for (ii = 0; ii < N; ii++)
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b[ii] = (a[ii] * a[ii] * a[ii]) / a[ii];
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}
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#pragma acc parallel async (1)
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{
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int ii;
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for (ii = 0; ii < N; ii++)
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c[ii] = (a[ii] + a[ii] + a[ii] + a[ii]) / a[ii];
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}
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#pragma acc parallel async (1)
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{
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int ii;
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for (ii = 0; ii < N; ii++)
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d[ii] = ((a[ii] * a[ii] + a[ii]) / a[ii]) - a[ii];
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}
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#pragma acc parallel wait (1) async (1)
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{
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int ii;
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for (ii = 0; ii < N; ii++)
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e[ii] = a[ii] + b[ii] + c[ii] + d[ii];
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}
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#pragma acc wait (1)
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}
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for (i = 0; i < N; i++)
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{
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if (a[i] != 2.0)
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abort ();
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if (b[i] != 4.0)
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abort ();
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if (c[i] != 4.0)
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abort ();
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if (d[i] != 1.0)
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abort ();
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if (e[i] != 11.0)
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abort ();
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}
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r = cuStreamCreate (&stream1, CU_STREAM_NON_BLOCKING);
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if (r != CUDA_SUCCESS)
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{
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fprintf (stderr, "cuStreamCreate failed: %d\n", r);
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abort ();
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}
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acc_set_cuda_stream (1, stream1);
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for (i = 0; i < N; i++)
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{
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a[i] = 5.0;
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b[i] = 0.0;
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}
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#pragma acc data copy (a[0:N], b[0:N]) copyin (N)
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{
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#pragma acc parallel async (1)
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{
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int ii;
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for (ii = 0; ii < N; ii++)
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b[ii] = a[ii];
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}
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#pragma acc wait (1)
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}
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for (i = 0; i < N; i++)
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{
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if (a[i] != 5.0)
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abort ();
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if (b[i] != 5.0)
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abort ();
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}
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for (i = 0; i < N; i++)
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{
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a[i] = 7.0;
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b[i] = 0.0;
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c[i] = 0.0;
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d[i] = 0.0;
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}
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#pragma acc data copy (a[0:N]) copy (b[0:N]) copy (c[0:N]) copy (d[0:N]) copyin (N)
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{
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#pragma acc parallel async (1)
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{
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int ii;
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for (ii = 0; ii < N; ii++)
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b[ii] = (a[ii] * a[ii] * a[ii]) / a[ii];
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}
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#pragma acc parallel async (1)
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{
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int ii;
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for (ii = 0; ii < N; ii++)
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c[ii] = (a[ii] + a[ii] + a[ii] + a[ii]) / a[ii];
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}
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#pragma acc parallel async (1)
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{
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int ii;
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for (ii = 0; ii < N; ii++)
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d[ii] = ((a[ii] * a[ii] + a[ii]) / a[ii]) - a[ii];
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}
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#pragma acc wait (1)
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}
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for (i = 0; i < N; i++)
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{
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if (a[i] != 7.0)
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abort ();
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if (b[i] != 49.0)
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abort ();
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if (c[i] != 4.0)
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abort ();
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if (d[i] != 1.0)
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abort ();
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}
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for (i = 0; i < N; i++)
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{
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a[i] = 3.0;
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b[i] = 0.0;
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c[i] = 0.0;
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d[i] = 0.0;
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e[i] = 0.0;
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}
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#pragma acc data copy (a[0:N], b[0:N], c[0:N], d[0:N], e[0:N]) copyin (N)
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{
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#pragma acc parallel async (1)
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{
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int ii;
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for (ii = 0; ii < N; ii++)
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b[ii] = (a[ii] * a[ii] * a[ii]) / a[ii];
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}
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#pragma acc parallel async (1)
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{
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int ii;
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for (ii = 0; ii < N; ii++)
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c[ii] = (a[ii] + a[ii] + a[ii] + a[ii]) / a[ii];
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}
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#pragma acc parallel async (1)
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{
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int ii;
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for (ii = 0; ii < N; ii++)
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d[ii] = ((a[ii] * a[ii] + a[ii]) / a[ii]) - a[ii];
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}
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#pragma acc parallel wait (1) async (1)
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{
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int ii;
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for (ii = 0; ii < N; ii++)
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e[ii] = a[ii] + b[ii] + c[ii] + d[ii];
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}
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#pragma acc wait (1)
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}
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for (i = 0; i < N; i++)
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{
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if (a[i] != 3.0)
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abort ();
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if (b[i] != 9.0)
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abort ();
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if (c[i] != 4.0)
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abort ();
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if (d[i] != 1.0)
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abort ();
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if (e[i] != 17.0)
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abort ();
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}
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for (i = 0; i < N; i++)
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{
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a[i] = 4.0;
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b[i] = 0.0;
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c[i] = 0.0;
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d[i] = 0.0;
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e[i] = 0.0;
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}
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#pragma acc data copyin (a[0:N], b[0:N], c[0:N]) copyin (N)
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{
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#pragma acc parallel async (1)
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{
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int ii;
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for (ii = 0; ii < N; ii++)
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b[ii] = (a[ii] * a[ii] * a[ii]) / a[ii];
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}
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#pragma acc parallel async (1)
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{
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int ii;
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for (ii = 0; ii < N; ii++)
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c[ii] = (a[ii] + a[ii] + a[ii] + a[ii]) / a[ii];
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}
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#pragma acc update host (a[0:N], b[0:N], c[0:N]) wait (1)
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}
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for (i = 0; i < N; i++)
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{
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if (a[i] != 4.0)
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abort ();
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if (b[i] != 16.0)
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abort ();
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if (c[i] != 4.0)
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abort ();
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}
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for (i = 0; i < N; i++)
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{
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a[i] = 5.0;
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b[i] = 0.0;
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c[i] = 0.0;
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d[i] = 0.0;
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e[i] = 0.0;
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}
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#pragma acc data copyin (a[0:N], b[0:N], c[0:N]) copyin (N)
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{
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#pragma acc parallel async (1)
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{
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int ii;
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for (ii = 0; ii < N; ii++)
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b[ii] = (a[ii] * a[ii] * a[ii]) / a[ii];
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}
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#pragma acc parallel async (1)
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{
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int ii;
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for (ii = 0; ii < N; ii++)
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c[ii] = (a[ii] + a[ii] + a[ii] + a[ii]) / a[ii];
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}
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#pragma acc update host (a[0:N], b[0:N], c[0:N]) async (1)
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#pragma acc wait (1)
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}
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for (i = 0; i < N; i++)
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{
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if (a[i] != 5.0)
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abort ();
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if (b[i] != 25.0)
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abort ();
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if (c[i] != 4.0)
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abort ();
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}
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acc_shutdown (acc_device_nvidia);
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return 0;
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}
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