Use of Cuda Thrust device_vector crashes

Question

Below I've posted some code that I'm using to try and get a feel for the CUDA thrust library. Before anyone says anything I know this is an extremely inefficient way to find prime numbers, I just want something to test parallelism. Unfortunatly when I run this I get an error here is what pops up: Unhandled exception at at 0x76FCC41F in Thrust_2.exe: Microsoft C++ exception: thrust::system::system_error at memory location 0x0022F500.

If I switch the device_vector to a host_vector in the doTest function I no longer get the error and the program works flawlessly. Why does this happen and how can I get it to use the device_vector without crashing? I would like to do as much in parallel is possible. Also the entire program works as intended with a host_vector.

PS:

I'm using VS2012

Cuda: V5.5

GPU: geforce gt 540M

Thrust: Got with cuda.

Thanks in advance!

  struct prime{
__host__ __device__
    void operator()(long& x){
    bool result = true;
    long stop = ceil(sqrt((float)x));
    if(x%2!=0){
        for(int i = 3;i<stop;i+=2){
            if(x%i==0){
                result = false;
                break;
            };
        }
    }else{
        result = false;
    }
    if(!result)
        x = -1;
 }
};
void doTest(long gen){
  using namespace thrust;
  device_vector<long> tNum(gen);
  sequence(tNum.begin(),tNum.end()); // fails here when using a device_vector
}
int main(){
   doTest(1000);
   return 0;
}

Answer 1

The issue was i had the wrong compiler arguments, I feel really stupid now...

i was compiling for 1.0, I switched it to 2.0 and now its working.