无法填充gpu上分配的数组

时间:2017-11-20 15:15:40

标签: openacc

请帮帮我。我有以下代码

...
#include <accelmath.h>
#include <openacc.h>
const long int G=100000;
const unsigned int GL=100000;
const long int K=G;
const int LE=1.0f;
struct Particle
{
  float x;
  float rs;
};
Particle particles[GL];
int sort[GL];
int ind01[GL];
long int MAX_ELEMENT=1;
int POSITION1;
int POSITION0;
int LIFE=0;
bool start=true;
int mini;
int count0;
int count1;
int GL1;
int js;

#pragma acc declare device_resident(ind01,POSITION0,POSITION1,mini,GL1,js,MAX_ELEMENT,count0,count1,K)
#pragma acc declare create(LIFE,particles,sort)

 void function_device()
 {
   #pragma acc update host(LIFE,particles) async
    std::cout<<"LIFE before="<<LIFE<<std::endl;
   #pragma acc update device(LIFE,particles) async
   #pragma acc parallel num_gangs(1) vector_length(1) present(particles) async
   {
     count0=0;
     count1=0;
     if(LIFE<K)
     {
       particles[LIFE].x=5.0;
       particles[LIFE].rs=MAX_ELEMENT;
       ++MAX_ELEMENT;
       ++LIFE;
      }
    }
     #pragma acc loop vector reduction(+:count0,count1)
     for(int i=0; i<LIFE; ++i)
     {
       if(particles[i].x>=LE)
       {
         sort[i]=1;
         count1=count1+1;
       }
       else
       {
         sort[i]=0;
         count0=count0+1;
       }
     }   
   #pragma acc parallel num_gangs(1) vector_length(1)
     {
       GL1=LIFE-1;
       count0=GL1;
       count1=0;
     }
     #pragma acc loop seq
     for(int i=0; i<LIFE; ++i)
     {
       if(sort[i]==1)
       {
         ind01[count1++]=i;
       }
       else
       {
         ind01[count0--]=i;
       }
     }
    #pragma acc parallel num_gangs(1) vector_length(1)
    {
      mini=GL1-count0;
      if(count1<mini) mini=count1;
      js=0;
    }
    ...
    #pragma acc update host(LIFE) async
  }
  int main(int argc, char **argv)
  {
    acc_init(acc_device_nvidia);
    int step=1;
while(start==true || LIFE>0)
{
      std::cout<<" LIFE="<<LIFE<<std::endl;
      start=false;
      function_device();   
      std::cout<<"MAIN LOOP # "<<step<<std::endl;
      ++step;
    }
  }

在我填写了在gpu上分配的数组之后:

     particles[LIFE].x=5.0;

但是打印的输出:

     #pragma acc update host(LIFE,particles) async
     std::cout<<"LIFE after injector="<<LIFE<<std::endl;
     for(int i=0; i<LIFE; ++i) std::cout<<" particles: "<<particles[i]<<std::endl;

    #pragma acc update host(LIFE,sort) async
     std::cout<<"LIFE after 1="<<LIFE<<" c0="<<count0<<" c1="<<count1<<std::endl;
     for(int i=0; i<LIFE; ++i) std::cout<<"sort: "<<sort[i]<<std::endl;

是LIFE = 1,数组只包含0,好像我没有用5.0f填充数组粒子。如何填充阵列&#34;粒子&#34;?我是否在gpu上正确启动了串行代码:

    #pragma acc parallel num_gangs(1) vector_length(1)
    {
      mini=GL1-count0;
      if(count1<mini) mini=count1;
      js=0;
    }

如果openacc指令的使用有错误,请显示它们。为什么

     #pragma acc update host(LIFE) async
如果没有异步,

指令不起作用?

1 个答案:

答案 0 :(得分:0)

我更新了您的代码以使其正常运行。你有一些孤立的循环需要&#34; parallel&#34;在他们加上因为几个变量是全局变量,你需要使用原子。在使用&#34; declare create&#34;中定义的变量时,我确实遇到了编译器问题。在原子中需要将一些变量移动到数据区域。我会向我们的工程师报告。

请注意,当LIFE达到G时,我也处于终止状态,否则它似乎进入无限循环。

#include <iostream>
#include <accelmath.h>
#include <openacc.h>
const long int G=100000;
const unsigned int GL=100000;
const long int K=G;
const int LE=1.0f;
struct Particle
{
  float x;
  float rs;
};
Particle particles[GL];
int sort[GL];
int ind01[GL];
int MAX_ELEMENT;
int POSITION1;
int POSITION0;
int LIFE;
bool start=true;
int mini;
int GL1;
int js;
int count0;
int count1;

#pragma acc declare device_resident(ind01,POSITION0,POSITION1,mini,GL1,js)
#pragma acc declare create(particles,sort)

 void function_device()
 {
   #pragma acc parallel num_gangs(1) vector_length(1) present(particles)
   {
#pragma acc atomic write
      count0=0;
#pragma acc atomic write
      count1=0;
     if(LIFE<K)
     {
       particles[LIFE].x=5.0;
       particles[LIFE].rs=MAX_ELEMENT;
#pragma acc atomic update
       ++MAX_ELEMENT;
#pragma acc atomic update
       ++LIFE;
      }
    }
     #pragma acc parallel loop
     for(int i=0; i<LIFE; ++i)
     {
       if(particles[i].x>=LE)
       {
         sort[i]=1;
  #pragma acc atomic update
         count1=count1+1;
       }
       else
       {
         sort[i]=0;
  #pragma acc atomic update
         count0=count0+1;
       }
     }
   #pragma acc parallel num_gangs(1) vector_length(1)
     {
       GL1=LIFE-1;
       count0=GL1;
       count1=0;
     }
     #pragma acc parallel loop
     for(int i=0; i<LIFE; ++i)
     {
       int cnt;
       if(sort[i]==1)
       {
        #pragma acc atomic capture
        {
          cnt = count1++;
        }
        ind01[cnt]=i;
       }
       else
       {
        #pragma acc atomic capture
        {
          cnt = count0--;
        }
        ind01[cnt]=i;
       }
     }
    #pragma acc parallel num_gangs(1) vector_length(1)
    {
      mini=GL1-count0;
      if(count1<mini) mini=count1;
      js=0;
    }
  }
  int main(int argc, char **argv)
  {
    acc_init(acc_device_nvidia);
    int step=1;
    LIFE=0;
    MAX_ELEMENT=1;
   #pragma acc data copyin(LIFE,MAX_ELEMENT,count0,count1)
{
while(start==true || (LIFE>0 && LIFE < G ))
{
      std::cout<<" LIFE="<<LIFE<<std::endl;
      start=false;
      function_device();
   #pragma acc update self(LIFE)
      std::cout<<"MAIN LOOP # "<<step<<std::endl;
      ++step;
    }
}
  }