1 #ifndef TOROIDAL_AVERAGE_HPP
2 #define TOROIDAL_AVERAGE_HPP
11 if(pol_decomp.mpi.n_intpl_ranks==1)
return;
14 View<double*,CLayout, typename T::device_type, Kokkos::MemoryTraits<Kokkos::Unmanaged>> f_1D(f.data(), f.size());
22 MPI_Allreduce(MPI_IN_PLACE, f_mpi.data(), f_mpi.size(), MPI_DOUBLE, MPI_SUM, pol_decomp.mpi.intpl_comm);
29 double inv_n_planes = 1.0/pol_decomp.mpi.n_intpl_ranks;
32 Kokkos::parallel_for(
"toroidal_average", Kokkos::RangePolicy<typename T::execution_space>(0, f.size()), KOKKOS_LAMBDA(
const int i){
33 f_1D(i) *= inv_n_planes;
void mirror_copy(T1 &view_dest, const T2 &view_src)
Definition: my_mirror_view.hpp:122
void toroidal_average_in_place(const DomainDecomposition< DeviceType > &pol_decomp, T &f)
Definition: toroidal_average.hpp:9
View< T *, CLayout, Device > my_mirror_scratch_view(const View< T *, CLayout, Device, Kokkos::MemoryTraits< Kokkos::Unmanaged >> &view, Device nd)
Definition: my_mirror_view.hpp:97
View< T *, CLayout, Device > my_mirror_view(const View< T *, CLayout, Device > &view, Device nd)
Definition: my_mirror_view.hpp:14
void parallel_for(const std::string name, int n_ptl, Function func, Option option, HostAoSoA aosoa_h, DeviceAoSoA aosoa_d)
Definition: streamed_parallel_for.hpp:252
HostType MPIDeviceType
Definition: space_settings.hpp:62