Cabana_Grid_SparseArray.hpp File Reference

Sparse grid fields arrays using AoSoA. More...

#include <Cabana_Grid_SparseIndexSpace.hpp>
#include <Cabana_Grid_SparseLocalGrid.hpp>
#include <Cabana_Grid_Types.hpp>
#include <Cabana_AoSoA.hpp>
#include <Cabana_Utils.hpp>
#include <Kokkos_Core.hpp>
#include <cmath>
#include <memory>
#include <type_traits>
#include <vector>
#include <mpi.h>

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Classes
class	Cabana::Grid::Experimental::SparseArrayLayout< DataTypes, EntityType, MeshType, SparseMapType >
	Entity layout for sparse array data on the local sparse mesh. More...
struct	Cabana::Grid::Experimental::is_sparse_array_layout< class >
	Sparse array layout static type checker. More...
struct	Cabana::Grid::Experimental::is_sparse_array_layout< SparseArrayLayout< DataTypes, EntityType, MeshType, SparseMapType > >
	Sparse array layout static type checker. More...
struct	Cabana::Grid::Experimental::is_sparse_array_layout< const SparseArrayLayout< DataTypes, EntityType, MeshType, SparseMapType > >
	Sparse array layout static type checker. More...
class	Cabana::Grid::Experimental::SparseArray< DataTypes, MemorySpace, EntityType, MeshType, SparseMapType >
	Sparse array of field data on the local sparse mesh; Array data is stored in AoSoA manner, with each tile being the SoA element. More...
struct	Cabana::Grid::Experimental::is_sparse_array< class >
	Sparse array static type checker. More...
struct	Cabana::Grid::Experimental::is_sparse_array< SparseArray< DataTypes, MemorySpace, EntityType, MeshType, SparseMapType > >
	Sparse array static type checker. More...
struct	Cabana::Grid::Experimental::is_sparse_array< const SparseArray< DataTypes, MemorySpace, EntityType, MeshType, SparseMapType > >
	Sparse array static type checker. More...

Namespaces
namespace	Cabana
	Core: particle data structures and algorithms.

Functions
template<class DataTypes, class EntityType, class MeshType, class SparseMapType>
auto	Cabana::Grid::Experimental::createSparseArrayLayout (const std::shared_ptr< LocalGrid< MeshType > > &local_grid, SparseMapType &sparse_map, EntityType, const float over_allocation=1.01f)
	Create sparse array layout over the entities of a sparse local grid.
template<class MemorySpace, class DataTypes, class EntityType, class MeshType, class SparseMapType>
auto	Cabana::Grid::Experimental::createSparseArray (const std::string label, SparseArrayLayout< DataTypes, EntityType, MeshType, SparseMapType > &layout)
	Create sparse array based on the sparse array layout.

Detailed Description

Sparse grid fields arrays using AoSoA.

Function Documentation

createSparseArray()

template<class MemorySpace, class DataTypes, class EntityType, class MeshType, class SparseMapType>

auto Cabana::Grid::Experimental::createSparseArray	(	const std::string	label,
		SparseArrayLayout< DataTypes, EntityType, MeshType, SparseMapType > &	layout )

Create sparse array based on the sparse array layout.

Parameters

label	The sparse array data description.
layout	The sparse array layout.

Returns

SparseArray

createSparseArrayLayout()

template<class DataTypes, class EntityType, class MeshType, class SparseMapType>

auto Cabana::Grid::Experimental::createSparseArrayLayout	(	const std::shared_ptr< LocalGrid< MeshType > > &	local_grid,
		SparseMapType &	sparse_map,
		EntityType	,
		const float	over_allocation = 1.01f )

Create sparse array layout over the entities of a sparse local grid.

Parameters

local_grid	The sparse local grid over which to create the layout.
sparse_map	The reference to a pre-created sparse map.
over_allocation	Factor used to increase allocation size for special entities.

Note

EntityType The entity: Cell, Node, Face, or Edge.