OpenACC 如何在函数的不同调用之间保留一个数据?

问题描述 投票:0回答:1

我想用OpenACC优化一个应用程序。在主程序中,我有一个这样的迭代循环。

while(t<tstop){

 add(&data, nx);

}

其中data是一个Data类型的变量,由这个结构定义

typedef struct Data_{   
  double *x;    
}Data;

我在while循环中调用的函数是可以并行的,但我没能做到的是在函数的不同调用之间保持设备内存中的数组x[]。

void add(Data *data, int n){

  #pragma acc data pcopy(data[0:1])
  #pragma acc data pcopy(data->x[0:n])

  #pragma acc parallel loop
  for(int i=0; i < n ; i++){
    data->x[i] += 1.;
  }
  #pragma acc exit data copyout(data->x[0:n])
  #pragma acc exit data copyout(data[0:1])
}

我知道这个程序似乎没有意义,但我只是写了一些东西来重现我在实际代码中遇到的问题。

我尝试使用非结构化数据区域。

#pragma acc enter data copyin(data[0:1])
#pragma acc enter data copyin(data->x[0:n])

#pragma acc data present(data[:1], data->x[:n])
#pragma acc parallel loop
  for(int i=0; i < n ; i++){
    data->x[i] += 1.;
  }

#pragma acc exit data copyout(data->x[0:n])
#pragma acc exit data copyout(data[0:1])

但由于某些原因,我得到了这样一个错误:

FATAL ERROR: Data子句中的变量在设备上部分存在: name=data(名称)

struct gnu-parallel openacc
1个回答
0
投票

我无法从它提供的代码snip-it中重现部分存在的错误,所以不清楚为什么会出现这个错误。 一般来说,当现表中变量的大小与数据子句中使用的大小不同时,就会发生错误。 如果你能提供一个重现的例子,我可以看一下,确定这里为什么会出现这种情况。

回答题目问题,设备变量可以在其所在的数据区域范围内的任何地方被访问,甚至可以跨子程序访问。 对于非结构化数据区域(即enter dataexit数据),范围是在运行时在enter和exit调用之间定义的。 对于结构化数据区域,作用域是由结构化块定义的。

下面是一个使用上面定义的结构的例子(尽管我已经把x的大小作为结构的一部分)。

% cat test.c
#include <stdio.h>
#include <stdlib.h>


typedef struct Data_{
  double *x;
  int n;
}Data;

void add(Data *data){

#pragma acc parallel loop present(data)
  for(int i=0; i < data->n ; i++){
    data->x[i] += 1.;
  }
}

int main () {

   Data *data;
   data = (Data*) malloc(sizeof(Data));
   data->n = 64;
   data->x = (double *) malloc(sizeof(double)*data->n);
   for(int i=0; i < data->n ; i++){
      data->x[i] = (double) i;
   }

#pragma acc enter data copyin(data[0:1])
#pragma acc enter data copyin(data->x[0:data->n])
   add(data);
#pragma acc exit data copyout(data->x[0:data->n])
#pragma acc exit data delete(data)

   for(int i=0; i < data->n ; i++){
      printf("%d:%f\n",i,data->x[i]);
   }
   free(data->x);
   free(data);
}
% pgcc test.c -ta=tesla -Minfo=accel; a.out
add:
     12, Generating present(data[:])
         Generating Tesla code
         13, #pragma acc loop gang, vector(128) /* blockIdx.x threadIdx.x */
main:
     28, Generating enter data copyin(data[:1])
     29, Generating enter data copyin(data->x[:data->n])
     31, Generating exit data copyout(data->x[:data->n])
     32, Generating exit data delete(data[:1])
0:1.000000
1:2.000000
2:3.000000
3:4.000000
4:5.000000
5:6.000000
6:7.000000
7:8.000000
8:9.000000
9:10.000000
10:11.000000
11:12.000000
12:13.000000
13:14.000000
14:15.000000
15:16.000000
16:17.000000
17:18.000000
18:19.000000
19:20.000000
20:21.000000
21:22.000000
22:23.000000
23:24.000000
24:25.000000
25:26.000000
26:27.000000
27:28.000000
28:29.000000
29:30.000000
30:31.000000
31:32.000000
32:33.000000
33:34.000000
34:35.000000
35:36.000000
36:37.000000
37:38.000000
38:39.000000
39:40.000000
40:41.000000
41:42.000000
42:43.000000
43:44.000000
44:45.000000
45:46.000000
46:47.000000
47:48.000000
48:49.000000
49:50.000000
50:51.000000
51:52.000000
52:53.000000
53:54.000000
54:55.000000
55:56.000000
56:57.000000
57:58.000000
58:59.000000
59:60.000000
60:61.000000
61:62.000000
62:63.000000
63:64.000000

另外,这是第二个例子,但现在 "data "是一个数组,每个 "x "的大小可以不同。

% cat test2.c
#include <stdio.h>
#include <stdlib.h>

#define M 16

typedef struct Data_{
  double *x;
  int n;
}Data;

void add(Data *data){

#pragma acc parallel loop present(data)
  for(int i=0; i < data->n ; i++){
    data->x[i] += 1.;
  }
}

int main () {

   Data *data;
   data = (Data*) malloc(sizeof(Data)*M);
#pragma acc enter data create(data[0:M])
   for (int i =0; i < M; ++i) {
      data[i].n = i+1;
      data[i].x = (double *) malloc(sizeof(double)*data[i].n);
      for(int j=0; j < data[i].n ; j++){
         data[i].x[j] = (double)((i*data[i].n) + j);
      }
#pragma acc update device(data[i].n)
#pragma acc enter data copyin(data[i].x[0:data[i].n])
   }

   for (int i =0; i < M; ++i) {
     add(&data[i]);
   }

   for (int i =0; i < M; ++i) {
#pragma acc update self(data[i].x[:data[i].n])
     for(int j=0; j < data[i].n ; j++){
      printf("%d:%d:%f\n",i,j,data[i].x[j]);
   }}

   for (int i =0; i < M; ++i) {
#pragma acc exit data delete(data[i].x)
      free(data[i].x);
   }
#pragma acc exit data delete(data)
   free(data);

}
% pgcc test2.c -ta=tesla -Minfo=accel; a.out
add:
     11, Generating present(data[:1])
         Generating Tesla code
         14, #pragma acc loop gang, vector(128) /* blockIdx.x threadIdx.x */
main:
     22, Generating enter data create(data[:16])
     32, Generating update device(data->n)
         Generating enter data copyin(data->x[:data->n])
     38, Generating update self(data->x[:data->n])
     46, Generating exit data delete(data->x[:1])
     49, Generating exit data delete(data[:1])
0:0:1.000000
1:0:3.000000
1:1:4.000000
2:0:7.000000
2:1:8.000000
2:2:9.000000
3:0:13.000000
3:1:14.000000
3:2:15.000000
3:3:16.000000
4:0:21.000000
4:1:22.000000
4:2:23.000000
4:3:24.000000
4:4:25.000000
5:0:31.000000
5:1:32.000000
5:2:33.000000
5:3:34.000000
5:4:35.000000
5:5:36.000000
6:0:43.000000
6:1:44.000000
6:2:45.000000
6:3:46.000000
6:4:47.000000
6:5:48.000000
6:6:49.000000
7:0:57.000000
7:1:58.000000
7:2:59.000000
7:3:60.000000
7:4:61.000000
7:5:62.000000
7:6:63.000000
7:7:64.000000
8:0:73.000000
8:1:74.000000
8:2:75.000000
8:3:76.000000
8:4:77.000000
8:5:78.000000
8:6:79.000000
8:7:80.000000
8:8:81.000000
9:0:91.000000
9:1:92.000000
9:2:93.000000
9:3:94.000000
9:4:95.000000
9:5:96.000000
9:6:97.000000
9:7:98.000000
9:8:99.000000
9:9:100.000000
10:0:111.000000
10:1:112.000000
10:2:113.000000
10:3:114.000000
10:4:115.000000
10:5:116.000000
10:6:117.000000
10:7:118.000000
10:8:119.000000
10:9:120.000000
10:10:121.000000
11:0:133.000000
11:1:134.000000
11:2:135.000000
11:3:136.000000
11:4:137.000000
11:5:138.000000
11:6:139.000000
11:7:140.000000
11:8:141.000000
11:9:142.000000
11:10:143.000000
11:11:144.000000
12:0:157.000000
12:1:158.000000
12:2:159.000000
12:3:160.000000
12:4:161.000000
12:5:162.000000
12:6:163.000000
12:7:164.000000
12:8:165.000000
12:9:166.000000
12:10:167.000000
12:11:168.000000
12:12:169.000000
13:0:183.000000
13:1:184.000000
13:2:185.000000
13:3:186.000000
13:4:187.000000
13:5:188.000000
13:6:189.000000
13:7:190.000000
13:8:191.000000
13:9:192.000000
13:10:193.000000
13:11:194.000000
13:12:195.000000
13:13:196.000000
14:0:211.000000
14:1:212.000000
14:2:213.000000
14:3:214.000000
14:4:215.000000
14:5:216.000000
14:6:217.000000
14:7:218.000000
14:8:219.000000
14:9:220.000000
14:10:221.000000
14:11:222.000000
14:12:223.000000
14:13:224.000000
14:14:225.000000
15:0:241.000000
15:1:242.000000
15:2:243.000000
15:3:244.000000
15:4:245.000000
15:5:246.000000
15:6:247.000000
15:7:248.000000
15:8:249.000000
15:9:250.000000
15:10:251.000000
15:11:252.000000
15:12:253.000000
15:13:254.000000
15:14:255.000000
15:15:256.000000

注意,复制带有动态数据成员的结构时要小心。 复制结构本身,也就是像上面的 "#pragma acc exit data copyout(data[0:1])",会把 "x "的主机地址和设备地址覆盖掉。 相反,只复制 "data->x",删除 "data"。

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