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// This example generates random points in the | |
// unit square [0,1)x[0,1) and then removes all | |
// points where x^2 + y^2 > 1 | |
// | |
// The x and y coordinates are stored in separate arrays | |
// and a zip_iterator is used to combine them together | |
template <typename T> | |
struct is_outside_circle | |
{ | |
template <typename Tuple> | |
inline __host__ __device__ | |
bool operator()(const Tuple& tuple) const | |
{ | |
// unpack the tuple into x and y coordinates | |
const T x = thrust::get<0>(tuple); | |
const T y = thrust::get<1>(tuple); | |
if (x*x + y*y > 1) | |
return true; | |
else | |
return false; | |
} | |
}; | |
int main(void) | |
{ | |
const size_t N = 20; | |
// generate random points in the unit square on the host | |
thrust::default_random_engine rng; | |
thrust::uniform_real_distribution<float> u01(0.0f, 1.0f); | |
thrust::host_vector<float> x(N); | |
thrust::host_vector<float> y(N); | |
for(size_t i = 0; i < N; i++) | |
{ | |
x[i] = u01(rng); | |
y[i] = u01(rng); | |
} | |
// print the initial points | |
std::cout << std::fixed; | |
std::cout << "Generated " << N << " points" << std::endl; | |
for(size_t i = 0; i < N; i++) | |
std::cout << "(" << x[i] << "," << y[i] << ")" << std::endl; | |
std::cout << std::endl; | |
// remove points where x^2 + y^2 > 1 and determine new array sizes | |
size_t new_size = thrust::remove_if(thrust::make_zip_iterator(thrust::make_tuple(x.begin(), y.begin())), | |
thrust::make_zip_iterator(thrust::make_tuple(x.end(), y.end())), | |
is_outside_circle<float>()) | |
- thrust::make_zip_iterator(thrust::make_tuple(x.begin(), y.begin())); | |
// resize the vectors (note: this does not free any memory) | |
x.resize(new_size); | |
y.resize(new_size); | |
// print the filtered points | |
std::cout << "After stream compaction, " << new_size << " points remain" << std::endl; | |
for(size_t i = 0; i < new_size; i++) | |
std::cout << "(" << x[i] << "," << y[i] << ")" << std::endl; | |
return 0; | |
} | |