I have this (working) CPU code:
#define NF 3
int ND;
typedef double (*POT)(double x, double y);
typedef struct {
    POT pot[NF];
} DATAMPOT;
DATAMPOT *datampot;
double func0(double x, double y);
double func1(double x, double y);
double func2(double x, double y);
int main(void)
{
    int i;
    ND=5;
    datampot=(DATAMPOT *)malloc(ND*sizeof(DATAMPOT));
    for(i=0;i<ND;i++){
        datampot[i].pot[0]=func0;
        datampot[i].pot[1]=func1;
        datampot[i].pot[2]=func2;
    }
    return 0;
}
Now I try a GPU version like this
#define NF 3
int ND;
typedef double (*POT)(double x, double y);
typedef struct {
    POT pot[NF];
} DATAMPOT;
DATAMPOT *dev_datampot;
__device__ double z_func0(double x, double y);
__device__ double z_func1(double x, double y);
__device__ double z_func2(double x, double y);
__global__ void assign(DATAMPOT *dmp, int n)
{
    int i;
    for(i=0;i<n;i++){
        (dmp+i)->pot[0]=z_func0;
        (dmp+i)->pot[1]=z_func1;
        (dmp+i)->pot[2]=z_func2;
    }
}
int main(void)
{
    int i;
    ND=5;
    cudaMalloc((void**)&dev_datampot,ND*sizeof(DATAMPOT));
    assign<<<1,1>>>(dev_datampot,ND);
    return 0;
}
but the assignment of device function pointers does not work. Where is the mistake? And how it can be corrected? Thanks you very much in advance. Michele