void free(view_type& rng) {
Allocator allocator;
if(rng.data())
allocator.deallocate(rng.data(), rng.size());
#ifdef VERBOSE
std::cerr << util::type_printer<DeviceCoordinator>::print()
<< "::free()" << std::endl;
#endif
impl::reset(rng);
}
std::pair<CudaEvent, view_type>
copy(const ArrayView<
value_type,
HostCoordinator<
value_type,
PinnedAllocator<
value_type,
alignment>>> &from,
view_type &to) {
assert(from.size()==to.size());
#ifdef VERBOSE
using oType = ArrayView< value_type, HostCoordinator< value_type, PinnedAllocator< value_type, alignment>>>;
std::cout << util::pretty_printer<DeviceCoordinator>::print(*this)
<< "::" << util::blue("copy") << "(asynchronous, " << from.size() << ")"
<< "\n " << util::type_printer<oType>::print() << " @ " << from.data()
<< util::yellow(" -> ")
<< util::type_printer<view_type>::print() << " @ " << to.data() << std::endl;
#endif
auto status = cudaMemcpy(
reinterpret_cast<void*>(to.begin()),
reinterpret_cast<const void*>(from.begin()),
from.size()*sizeof(value_type),
cudaMemcpyHostToDevice
);
if(status != cudaSuccess) {
std::cerr << util::red("error") << " bad CUDA memcopy, unable to copy " << sizeof(T)*from.size() << " bytes from host to device";
exit(-1);
}
CudaEvent event;
return std::make_pair(event, to);
}
// fill memory
void set(view_type &rng, value_type value) {
gpu::fill<value_type>(rng.data(), value, rng.size());
}
