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BoxElemFixture.hpp

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#ifndef KOKKOS_EXAMPLE_BOXELEMFIXTURE_HPP
#define KOKKOS_EXAMPLE_BOXELEMFIXTURE_HPP
#include <stdio.h>
#include <utility>
#include <Kokkos_Core.hpp>
#include <HexElement.hpp>
#include <BoxElemPart.hpp>
//----------------------------------------------------------------------------
namespace Kokkos {
namespace Example {
/** \brief Map a grid onto a unit cube with smooth nonlinear grading
* of the map.
*/
struct MapGridUnitCube {
const float m_a ;
const float m_b ;
const float m_c ;
const size_t m_max_x ;
const size_t m_max_y ;
const size_t m_max_z ;
MapGridUnitCube( const size_t grid_max_x ,
const size_t grid_max_y ,
const size_t grid_max_z ,
const float bubble_x ,
const float bubble_y ,
const float bubble_z )
: m_a( bubble_x )
, m_b( bubble_y )
, m_c( bubble_z )
, m_max_x( grid_max_x )
, m_max_y( grid_max_y )
, m_max_z( grid_max_z )
{}
template< typename Scalar >
KOKKOS_INLINE_FUNCTION
void operator()( int grid_x ,
int grid_y ,
int grid_z ,
Scalar & coord_x ,
Scalar & coord_y ,
Scalar & coord_z ) const
{
// Map to a unit cube [0,1]^3
const double x = double(grid_x) / double(m_max_x);
const double y = double(grid_y) / double(m_max_y);
const double z = double(grid_z) / double(m_max_z);
coord_x = x + x * x * ( x - 1 ) * ( x - 1 ) * m_a ;
coord_y = y + y * y * ( y - 1 ) * ( y - 1 ) * m_b ;
coord_z = z + z * z * ( z - 1 ) * ( z - 1 ) * m_c ;
}
};
} // namespace Example
} // namespace Kokkos
//----------------------------------------------------------------------------
namespace Kokkos {
namespace Example {
/** \brief Generate a distributed unstructured finite element mesh
* from a partitioned NX*NY*NZ box of elements.
*
* Order owned nodes first followed by off-process nodes
* grouped by owning process.
*/
template< class Device ,
BoxElemPart::ElemOrder Order ,
class CoordinateMap = MapGridUnitCube >
class BoxElemFixture {
public:
typedef Device execution_space ;
enum { SpaceDim = 3 };
enum { ElemNode = Order == BoxElemPart::ElemLinear ? 8 :
Order == BoxElemPart::ElemQuadratic ? 27 : 0 };
private:
typedef Kokkos::Example::HexElement_TensorData< ElemNode > hex_data ;
Kokkos::Example::BoxElemPart m_box_part ;
CoordinateMap m_coord_map ;
Kokkos::View< double *[SpaceDim] , Device > m_node_coord ;
Kokkos::View< size_t *[SpaceDim] , Device > m_node_grid ;
Kokkos::View< size_t *[ElemNode] , Device > m_elem_node ;
Kokkos::View< size_t *[2] , Device > m_recv_node ;
Kokkos::View< size_t *[2] , Device > m_send_node ;
Kokkos::View< size_t * , Device > m_send_node_id ;
unsigned char m_elem_node_local[ ElemNode ][4] ;
public:
typedef Kokkos::View< const size_t * [ElemNode], Device > elem_node_type ;
typedef Kokkos::View< const double * [SpaceDim], Device > node_coord_type ;
typedef Kokkos::View< const size_t * [SpaceDim], Device > node_grid_type ;
typedef Kokkos::View< const size_t * [2] , Device > comm_list_type ;
typedef Kokkos::View< const size_t * , Device > send_nodeid_type ;
inline bool ok() const { return m_box_part.ok(); }
KOKKOS_INLINE_FUNCTION
size_t node_count() const { return m_node_grid.dimension_0(); }
KOKKOS_INLINE_FUNCTION
size_t node_count_owned() const { return m_box_part.owns_node_count(); }
KOKKOS_INLINE_FUNCTION
size_t node_count_global() const { return m_box_part.global_node_count(); }
KOKKOS_INLINE_FUNCTION
size_t elem_count() const { return m_elem_node.dimension_0(); }
KOKKOS_INLINE_FUNCTION
size_t elem_count_global() const { return m_box_part.global_elem_count(); }
KOKKOS_INLINE_FUNCTION
size_t elem_node_local( size_t inode , int k ) const
{ return m_elem_node_local[inode][k] ; }
KOKKOS_INLINE_FUNCTION
size_t node_grid( size_t inode , int iaxis ) const
{ return m_node_grid(inode,iaxis); }
KOKKOS_INLINE_FUNCTION
size_t node_global_index( size_t local ) const
{
const size_t tmp_node_grid[SpaceDim] =
{ m_node_grid(local,0) , m_node_grid(local,1) , m_node_grid(local,2) };
return m_box_part.global_node_id( tmp_node_grid );
}
KOKKOS_INLINE_FUNCTION
double node_coord( size_t inode , int iaxis ) const
{ return m_node_coord(inode,iaxis); }
KOKKOS_INLINE_FUNCTION
size_t node_grid_max( int iaxis ) const
{ return m_box_part.global_coord_max(iaxis); }
KOKKOS_INLINE_FUNCTION
size_t elem_node( size_t ielem , size_t inode ) const
{ return m_elem_node(ielem,inode); }
elem_node_type elem_node() const { return m_elem_node ; }
node_coord_type node_coord() const { return m_node_coord ; }
node_grid_type node_grid() const { return m_node_grid ; }
comm_list_type recv_node() const { return m_recv_node ; }
comm_list_type send_node() const { return m_send_node ; }
send_nodeid_type send_nodeid() const { return m_send_node_id ; }
KOKKOS_INLINE_FUNCTION
BoxElemFixture( const BoxElemFixture & rhs )
: m_box_part( rhs.m_box_part )
, m_coord_map( rhs.m_coord_map )
, m_node_coord( rhs.m_node_coord )
, m_node_grid( rhs.m_node_grid )
, m_elem_node( rhs.m_elem_node )
, m_recv_node( rhs.m_recv_node )
, m_send_node( rhs.m_send_node )
, m_send_node_id( rhs.m_send_node_id )
{
for ( int i = 0 ; i < ElemNode ; ++i ) {
m_elem_node_local[i][0] = rhs.m_elem_node_local[i][0] ;
m_elem_node_local[i][1] = rhs.m_elem_node_local[i][1] ;
m_elem_node_local[i][2] = rhs.m_elem_node_local[i][2] ;
m_elem_node_local[i][3] = 0 ;
}
}
BoxElemFixture & operator = ( const BoxElemFixture & rhs )
{
m_box_part = rhs.m_box_part ;
m_coord_map = rhs.m_coord_map ;
m_node_coord = rhs.m_node_coord ;
m_node_grid = rhs.m_node_grid ;
m_elem_node = rhs.m_elem_node ;
m_recv_node = rhs.m_recv_node ;
m_send_node = rhs.m_send_node ;
m_send_node_id = rhs.m_send_node_id ;
for ( int i = 0 ; i < ElemNode ; ++i ) {
m_elem_node_local[i][0] = rhs.m_elem_node_local[i][0] ;
m_elem_node_local[i][1] = rhs.m_elem_node_local[i][1] ;
m_elem_node_local[i][2] = rhs.m_elem_node_local[i][2] ;
m_elem_node_local[i][3] = 0 ;
}
return *this ;
}
BoxElemFixture( const BoxElemPart::Decompose decompose ,
const size_t global_size ,
const size_t global_rank ,
const size_t elem_nx ,
const size_t elem_ny ,
const size_t elem_nz ,
const float bubble_x = 1.1f ,
const float bubble_y = 1.2f ,
const float bubble_z = 1.3f )
: m_box_part( Order , decompose , global_size , global_rank , elem_nx , elem_ny , elem_nz )
, m_coord_map( m_box_part.global_coord_max(0) ,
m_box_part.global_coord_max(1) ,
m_box_part.global_coord_max(2) ,
bubble_x ,
bubble_y ,
bubble_z )
, m_node_coord( "fixture_node_coord" , m_box_part.uses_node_count() )
, m_node_grid( "fixture_node_grid" , m_box_part.uses_node_count() )
, m_elem_node( "fixture_elem_node" , m_box_part.uses_elem_count() )
, m_recv_node( "fixture_recv_node" , m_box_part.recv_node_msg_count() )
, m_send_node( "fixture_send_node" , m_box_part.send_node_msg_count() )
, m_send_node_id( "fixture_send_node_id" , m_box_part.send_node_id_count() )
{
{
const hex_data elem_data ;
for ( int i = 0 ; i < ElemNode ; ++i ) {
m_elem_node_local[i][0] = elem_data.eval_map[i][0] ;
m_elem_node_local[i][1] = elem_data.eval_map[i][1] ;
m_elem_node_local[i][2] = elem_data.eval_map[i][2] ;
m_elem_node_local[i][3] = 0 ;
}
}
const size_t nwork =
std::max( m_recv_node.dimension_0() ,
std::max( m_send_node.dimension_0() ,
std::max( m_send_node_id.dimension_0() ,
std::max( m_node_grid.dimension_0() ,
m_elem_node.dimension_0() * m_elem_node.dimension_1() ))));
Kokkos::parallel_for( nwork , *this );
}
// Initialization:
KOKKOS_INLINE_FUNCTION
void operator()( size_t i ) const
{
if ( i < m_elem_node.dimension_0() * m_elem_node.dimension_1() ) {
const size_t ielem = i / ElemNode ;
const size_t inode = i % ElemNode ;
size_t elem_grid[SpaceDim] ;
size_t tmp_node_grid[SpaceDim] ;
m_box_part.uses_elem_coord( ielem , elem_grid );
enum { elem_node_scale = Order == BoxElemPart::ElemLinear ? 1 :
Order == BoxElemPart::ElemQuadratic ? 2 : 0 };
tmp_node_grid[0] = elem_node_scale * elem_grid[0] + m_elem_node_local[inode][0] ;
tmp_node_grid[1] = elem_node_scale * elem_grid[1] + m_elem_node_local[inode][1] ;
tmp_node_grid[2] = elem_node_scale * elem_grid[2] + m_elem_node_local[inode][2] ;
m_elem_node(ielem,inode) = m_box_part.local_node_id( tmp_node_grid );
}
if ( i < m_node_grid.dimension_0() ) {
size_t tmp_node_grid[SpaceDim] ;
m_box_part.local_node_coord( i , tmp_node_grid );
m_node_grid(i,0) = tmp_node_grid[0] ;
m_node_grid(i,1) = tmp_node_grid[1] ;
m_node_grid(i,2) = tmp_node_grid[2] ;
m_coord_map( tmp_node_grid[0] ,
tmp_node_grid[1] ,
tmp_node_grid[2] ,
m_node_coord(i,0) ,
m_node_coord(i,1) ,
m_node_coord(i,2) );
}
if ( i < m_recv_node.dimension_0() ) {
m_recv_node(i,0) = m_box_part.recv_node_rank(i);
m_recv_node(i,1) = m_box_part.recv_node_count(i);
}
if ( i < m_send_node.dimension_0() ) {
m_send_node(i,0) = m_box_part.send_node_rank(i);
m_send_node(i,1) = m_box_part.send_node_count(i);
}
if ( i < m_send_node_id.dimension_0() ) {
m_send_node_id(i) = m_box_part.send_node_id(i);
}
}
};
} // namespace Example
} // namespace Kokkos
//----------------------------------------------------------------------------
#endif /* #ifndef KOKKOS_EXAMPLE_BOXELEMFIXTURE_HPP */

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