CUDA中的恒定内存的动态分配

我试图利用常量内存，但我很难知道如何嵌套数组。我所拥有的是一个数据数组，它对内部数据进行计数，但对于每个条目，这些数据是不同的。因此，基于以下简化代码，我有两个问题。首先我不知道如何分配我的数据结构的成员指向的数据。第二，因为我不能使用cudaGetSymbolAddress作为常量内存我不知道我是否可以传递全局指针（你不能用普通的__device__内存）。

I'm trying to take advantage of the constant memory, but I'm having a hard time figuring out how to nest arrays. What I have is an array of data that has counts for internal data but those are different for each entry. So based around the following simplified code I have two problems. First I don't know how to allocate the data pointed to by the members of my data structure. Second, since I can't use cudaGetSymbolAddress for constant memory I'm not sure if I can just pass the global pointer (which you cannot do with plain __device__ memory).

struct __align(16)__ data{
int nFiles;
int nNames;
int* files;
int* names;
};

__device__ __constant__ data *mydata;

__host__ void initMemory(...)
{
    cudaMalloc( (void **) &(mydata), sizeof(data)*dynamicsize );
    for(int i=; i lessthan dynamicsize; i++)
    {
        cudaMemcpyToSymbol(mydata, &(nFiles[i]), sizeof(int), sizeof(data)*i, cudaMemcpyHostToDevice);
        //...
        //Problem 1: Allocate & Set mydata[i].files
    }
}

__global__ void myKernel(data *constDataPtr)
{
    //Problem 2: Access constDataPtr[n].files, etc
}

int main()
{
    //...
    myKernel grid, threads (mydata);
}

感谢您提供任何帮助。 ： - ）

Thanks for any help offered. :-)