void sort(vex::vector<T> &x) {
auto queue = x.queue_list();
for(unsigned d = 0; d < queue.size(); ++d) {
if (x.part_size(d)) {
boost::compute::command_queue q( queue[d]() );
boost::compute::buffer buf( x(d).raw() );
boost::compute::sort(
boost::compute::make_buffer_iterator<T>(buf, 0),
boost::compute::make_buffer_iterator<T>(buf, x.part_size(d)),
q
);
}
}
// If there are multiple queues, merge the results on the CPU
if (queue.size() > 1) {
namespace fusion = boost::fusion;
auto key_vectors = fusion::vector_tie(x);
auto host_vectors = detail::merge(key_vectors, vex::less<T>());
fusion::for_each( detail::make_zip_view(host_vectors, key_vectors), detail::do_copy() );
}
}
void exclusive_scan(const vex::vector<T> &src, vex::vector<T> &dst) {
auto queue = src.queue_list();
std::vector<T> tail;
/* If there is more than one partition, we need to take a copy the last
* element in each partition (except the last) as otherwise information
* about it is lost.
*
* This must be captured here rather than later, in case the input and
* output alias.
*/
if (queue.size() > 1) {
tail.resize(queue.size() - 1);
for (unsigned d = 0; d < tail.size(); ++d) {
if (src.part_size(d))
tail[d] = src[src.part_start(d + 1) - 1];
}
}
// Scan partitions separately.
for(unsigned d = 0; d < queue.size(); ++d) {
if (src.part_size(d)) {
boost::compute::command_queue q( queue[d]() );
boost::compute::buffer sbuf( src(d).raw() );
boost::compute::buffer dbuf( dst(d).raw() );
boost::compute::detail::scan(
boost::compute::make_buffer_iterator<T>(sbuf, 0),
boost::compute::make_buffer_iterator<T>(sbuf, src.part_size(d)),
boost::compute::make_buffer_iterator<T>(dbuf, 0),
true, q
);
}
}
// If there are more than one partition,
// update all of them except for the first.
if (queue.size() > 1) {
T sum{};
for(unsigned d = 0; d < tail.size(); ++d) {
if (src.part_size(d)) {
sum += tail[d];
sum += dst[src.part_start(d + 1) - 1];
// Wrap partition into vector for ease of use:
vex::vector<T> part(queue[d + 1], dst(d + 1));
part += sum;
}
}
}
}
void sort(vex::vector<T> &x) {
auto queue = x.queue_list();
for(unsigned d = 0; d < queue.size(); ++d) {
if (x.part_size(d)) {
boost::compute::command_queue q( queue[d]() );
boost::compute::buffer buf( x(d).raw() );
boost::compute::sort(
boost::compute::make_buffer_iterator<T>(buf, 0),
boost::compute::make_buffer_iterator<T>(buf, x.part_size(d)),
q
);
}
}
if (queue.size() > 1) {
// Get sorted partitions to host side and do multiway merge sort.
std::vector<T> src(x.size()), dst(x.size());
vex::copy(x, src);
std::vector< typename std::vector<T>::const_iterator > begin(queue.size());
std::vector< typename std::vector<T>::const_iterator > end (queue.size());
for(unsigned d = 0; d < queue.size(); ++d) {
begin[d] = src.begin() + x.part_start(d);
end [d] = src.begin() + x.part_start(d + 1);
}
for(auto pos = dst.begin(); pos != dst.end(); ++pos) {
int winner = -1;
for(unsigned d = 0; d < queue.size(); ++d) {
if (begin[d] == end[d])
continue;
if (winner < 0 || *begin[d] < *begin[winner])
winner = d;
}
*pos = *begin[winner]++;
}
vex::copy(dst, x);
}
}
void inclusive_scan(const vex::vector<T> &src, vex::vector<T> &dst) {
auto queue = src.queue_list();
// Scan partitions separately.
for(unsigned d = 0; d < queue.size(); ++d) {
if (src.part_size(d)) {
boost::compute::command_queue q( queue[d]() );
boost::compute::buffer sbuf( src(d)() );
boost::compute::buffer dbuf( dst(d)() );
boost::compute::detail::scan(
boost::compute::make_buffer_iterator<T>(sbuf, 0),
boost::compute::make_buffer_iterator<T>(sbuf, src.part_size(d)),
boost::compute::make_buffer_iterator<T>(dbuf, 0),
false, q
);
}
}
// If there are more than one partition,
// update all of them except for the first.
if (queue.size() > 1) {
std::vector<T> tail(queue.size() - 1, T());
for(unsigned d = 0; d < tail.size(); ++d) {
if (src.part_size(d))
tail[d] = dst[src.part_start(d + 1) - 1];
}
std::partial_sum(tail.begin(), tail.end(), tail.begin());
for(unsigned d = 1; d < queue.size(); ++d) {
if (src.part_size(d)) {
// Wrap partition into vector for ease of use:
vex::vector<T> part(queue[d], dst(d));
part += tail[d - 1];
}
}
}
}
static V get(const vex::vector<V> &x, const vex::vector<V> &y)
{
vex::Reductor<V, vex::SUM_Kahan> sum( x.queue_list() );
return sum(x * y);
}
static void resize( vex::vector< T > &x1 , const vex::vector< T > &x2 )
{
x1.resize( x2.queue_list() , x2.size() );
}
decltype(T1() * T2())
inner_prod(const vex::vector<T1> &v1, const vex::vector<T2> &v2) {
vex::Reductor<decltype(T1() * T2()), vex::SUM> sum(v1.queue_list());
return sum(v1 * v2);
}
T operator()( const vex::vector<T> &x ) const {
auto max = detail::vexcl_reductor<T>(x.queue_list());
return max( fabs(x) );
}
T operator()( const vex::vector<T> &x ) const {
const auto &max = vex::get_reductor<T, vex::MAX>(x.queue_list());
return max( fabs(x) );
}