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Add 2d test
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streeve committed May 28, 2021
1 parent 1a54d58 commit 3019a5c
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3 changes: 2 additions & 1 deletion cajita/unit_test/CMakeLists.txt
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Expand Up @@ -28,7 +28,8 @@ set(MPI_TESTS
Array2d
Halo3d
Halo2d
ParticleDistributor
ParticleGridDistributor2d
ParticleGridDistributor3d
SplineEvaluation3d
SplineEvaluation2d
Interpolation3d
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364 changes: 364 additions & 0 deletions cajita/unit_test/tstParticleGridDistributor2d.hpp
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/****************************************************************************
* Copyright (c) 2018-2021 by the Cabana authors *
* All rights reserved. *
* *
* This file is part of the Cabana library. Cabana is distributed under a *
* BSD 3-clause license. For the licensing terms see the LICENSE file in *
* the top-level directory. *
* *
* SPDX-License-Identifier: BSD-3-Clause *
****************************************************************************/

#include <Cabana_AoSoA.hpp>
#include <Cabana_DeepCopy.hpp>
#include <Cabana_Distributor.hpp>

#include <Cajita_GlobalGrid.hpp>
#include <Cajita_GlobalMesh.hpp>
#include <Cajita_LocalGrid.hpp>
#include <Cajita_LocalMesh.hpp>
#include <Cajita_ManualPartitioner.hpp>
#include <Cajita_ParticleGridDistributor.hpp>
#include <Cajita_Types.hpp>

#include <Kokkos_Core.hpp>

#include <gtest/gtest.h>

#include <mpi.h>

#include <algorithm>
#include <memory>
#include <vector>

namespace Test
{

using Cajita::Dim;

//---------------------------------------------------------------------------//
template <class GridType>
void redistributeTest( const GridType global_grid, const double cell_size,
const int data_halo_size, const int test_halo_size,
const bool force_comm, const int test_type )
{
// Create local block with varying halo size.
auto block = Cajita::createLocalGrid( global_grid, data_halo_size );
auto local_mesh = Cajita::createLocalMesh<Kokkos::HostSpace>( *block );

// Allocate a maximum number of particles assuming we have a halo on every
// boundary.
auto ghosted_cell_space =
block->indexSpace( Cajita::Ghost(), Cajita::Cell(), Cajita::Local() );
int num_particle = ghosted_cell_space.size();
using MemberTypes = Cabana::MemberTypes<double[2], int>;
using ParticleContainer = Cabana::AoSoA<MemberTypes, Kokkos::HostSpace>;
ParticleContainer particles( "particles", num_particle );
auto coords = Cabana::slice<0>( particles, "coords" );
auto linear_ids = Cabana::slice<1>( particles, "linear_ids" );

// Put particles in the center of every cell including halo cells if we
// have them. Their ids should be equivalent to that of the rank they are
// going to.
int pid = 0;
for ( int nj = -1; nj < 2; ++nj )
for ( int ni = -1; ni < 2; ++ni )
{
auto neighbor_rank = block->neighborRank( ni, nj );
if ( neighbor_rank >= 0 )
{
auto shared_space = block->sharedIndexSpace(
Cajita::Ghost(), Cajita::Cell(), ni, nj );
for ( int j = shared_space.min( Dim::J );
j < shared_space.max( Dim::J ); ++j )
for ( int i = shared_space.min( Dim::I );
i < shared_space.max( Dim::I ); ++i )
{
// Set the coordinates at the cell center.
coords( pid, Dim::I ) =
local_mesh.lowCorner( Cajita::Ghost(), Dim::I ) +
( i + 0.5 ) * cell_size;
coords( pid, Dim::J ) =
local_mesh.lowCorner( Cajita::Ghost(), Dim::J ) +
( j + 0.5 ) * cell_size;

// Set the linear ids as the linear rank of
// the neighbor.
linear_ids( pid ) = neighbor_rank;

// Increment the particle count.
++pid;
}
}
}
num_particle = pid;
particles.resize( num_particle );

ParticleContainer particles_initial( "initial_particles", num_particle );
Cabana::deep_copy( particles_initial, particles );
auto coords_initial = Cabana::slice<0>( particles_initial );

// Copy to the device space.
auto particles_mirror =
Cabana::create_mirror_view_and_copy( TEST_DEVICE(), particles );
auto coords_mirror = Cabana::slice<0>( particles_mirror, "coords" );

// Redistribute the particle AoSoA in place.
if ( test_type == 0 )
{
Cajita::particleGridMigrate( *block, coords_mirror, particles_mirror,
test_halo_size, force_comm );

// Copy back to check.
particles = Cabana::create_mirror_view_and_copy( Kokkos::HostSpace(),
particles_mirror );
}
// Do the migration with a separate destination AoSoA.
else if ( test_type == 1 )
{
auto particles_dst =
Cabana::create_mirror_view( TEST_MEMSPACE(), particles_mirror );
Cajita::particleGridMigrate( *block, coords_mirror, particles_mirror,
particles_dst, test_halo_size,
force_comm );
// Copy back to check.
particles = Cabana::create_mirror_view_and_copy( Kokkos::HostSpace(),
particles_dst );
}

coords = Cabana::slice<0>( particles, "coords" );
linear_ids = Cabana::slice<1>( particles, "linear_ids" );

// Check that we got as many particles as we should have.
EXPECT_EQ( coords.size(), num_particle );
EXPECT_EQ( linear_ids.size(), num_particle );

std::array<double, 2> local_low = {
local_mesh.lowCorner( Cajita::Own(), Dim::I ),
local_mesh.lowCorner( Cajita::Own(), Dim::J ) };
std::array<double, 2> local_high = {
local_mesh.highCorner( Cajita::Own(), Dim::I ),
local_mesh.highCorner( Cajita::Own(), Dim::J ) };

for ( int p = 0; p < num_particle; ++p )
{
// Particles should be redistributed if forcing communication or if
// anything is outside the minimum halo width (currently every case
// except test_halo_size=0)
if ( force_comm || test_halo_size > 0 )
{
// Check that all of the particle ids are equal to this rank id.
EXPECT_EQ( linear_ids( p ), global_grid->blockId() );

// Check that all of the particles are now in the local domain.
for ( int d = 0; d < 2; ++d )
{
EXPECT_GE( coords( p, d ), local_low[d] );
EXPECT_LE( coords( p, d ), local_high[d] );
}
}
else
{
// If only partially moving (test_halo_size < data_halo_size)
// particles are allowed outside the local domain (and with
// different rank id), but must be inside the test_halo_size.
for ( int d = 0; d < 2; ++d )
EXPECT_DOUBLE_EQ( coords( p, d ), coords_initial( p, d ) );
}
}
} // namespace Test

//---------------------------------------------------------------------------//
// The objective of this test is to check how the redistribution works when we
// have no particles to redistribute. In this case we put no particles in the
// halo so no communication should occur. This ensures the graph communication
// works when some neighbors get no data.
template <class GridType>
void localOnlyTest( const GridType global_grid, const double cell_size )
{
// Get the local block with a halo of 2.
const int data_halo_size = 2;
auto block = Cajita::createLocalGrid( global_grid, data_halo_size );
auto local_mesh = Cajita::createLocalMesh<Kokkos::HostSpace>( *block );

// Allocate particles
auto owned_cell_space =
block->indexSpace( Cajita::Own(), Cajita::Cell(), Cajita::Local() );
int num_particle = owned_cell_space.size();
using MemberTypes = Cabana::MemberTypes<double[2], int>;
using ParticleContainer = Cabana::AoSoA<MemberTypes, Kokkos::HostSpace>;
ParticleContainer particles( "particles", num_particle );
auto coords = Cabana::slice<0>( particles, "coords" );
auto linear_ids = Cabana::slice<1>( particles, "linear_ids" );

// Put particles in the center of every local cell.
int pid = 0;
for ( int j = 0; j < owned_cell_space.extent( Dim::J ); ++j )
for ( int i = 0; i < owned_cell_space.extent( Dim::I ); ++i )
{
// Set the coordinates at the cell center.
coords( pid, Dim::I ) =
local_mesh.lowCorner( Cajita::Own(), Dim::I ) +
( i + 0.5 ) * cell_size;
coords( pid, Dim::J ) =
local_mesh.lowCorner( Cajita::Own(), Dim::J ) +
( j + 0.5 ) * cell_size;

// Set the linear rank
linear_ids( pid ) = global_grid->blockId();

// Increment the particle count.
++pid;
}

// Copy to the device space.
auto particles_mirror =
Cabana::create_mirror_view_and_copy( TEST_DEVICE(), particles );

// Redistribute the particles.
auto coords_mirror = Cabana::slice<0>( particles_mirror, "coords" );
Cajita::particleGridMigrate( *block, coords_mirror, particles_mirror, 0,
true );

// Copy back to check.
particles = Cabana::create_mirror_view_and_copy( Kokkos::HostSpace(),
particles_mirror );
coords = Cabana::slice<0>( particles, "coords" );
linear_ids = Cabana::slice<1>( particles, "linear_ids" );

// Check that we got as many particles as we should have.
EXPECT_EQ( coords.size(), num_particle );
EXPECT_EQ( linear_ids.size(), num_particle );

// Check that all of the particle ids are equal to this rank id.
for ( int p = 0; p < num_particle; ++p )
EXPECT_EQ( linear_ids( p ), global_grid->blockId() );

// Check that all of the particles are now in the local domain.
double local_low[3] = { local_mesh.lowCorner( Cajita::Own(), Dim::I ),
local_mesh.lowCorner( Cajita::Own(), Dim::J ) };
double local_high[3] = { local_mesh.highCorner( Cajita::Own(), Dim::I ),
local_mesh.highCorner( Cajita::Own(), Dim::J ) };
for ( int p = 0; p < num_particle; ++p )
for ( int d = 0; d < 2; ++d )
{
EXPECT_GE( coords( p, d ), local_low[d] );
EXPECT_LE( coords( p, d ), local_high[d] );
}
}

auto createGrid( const Cajita::ManualBlockPartitioner<2>& partitioner,
const std::array<bool, 2>& is_periodic,
const double cell_size )
{
// Create the global grid.
std::array<int, 2> global_num_cell = { 24, 17 };
std::array<double, 2> global_low_corner = { 1.2, 3.3 };
std::array<double, 2> global_high_corner = {
global_low_corner[0] + cell_size * global_num_cell[0],
global_low_corner[1] + cell_size * global_num_cell[1] };
auto global_mesh = Cajita::createUniformGlobalMesh(
global_low_corner, global_high_corner, global_num_cell );
auto global_grid = Cajita::createGlobalGrid( MPI_COMM_WORLD, global_mesh,
is_periodic, partitioner );
return global_grid;
}

//---------------------------------------------------------------------------//
// RUN TESTS
//---------------------------------------------------------------------------//
TEST( TEST_CATEGORY, not_periodic_test )
{
// Let MPI compute the partitioning for this test.
int comm_size;
MPI_Comm_size( MPI_COMM_WORLD, &comm_size );
std::array<int, 2> ranks_per_dim = { 0, 0 };
MPI_Dims_create( comm_size, 2, ranks_per_dim.data() );
Cajita::ManualBlockPartitioner<2> partitioner( ranks_per_dim );

// Boundaries are not periodic.
std::array<bool, 2> is_periodic = { false, false };

// Create global grid.
double cell_size = 0.23;
auto global_grid = createGrid( partitioner, is_periodic, cell_size );

// Test in-place and new AoSoA
for ( int t = 0; t < 2; t++ )
redistributeTest( global_grid, cell_size, 2, 2, false, t );

// Test with forced communication.
redistributeTest( global_grid, cell_size, 2, 2, true, 0 );

// Test with different block configurations to make sure all the
// dimensions get partitioned even at small numbers of ranks.
if ( ranks_per_dim[0] != ranks_per_dim[1] )
{
std::swap( ranks_per_dim[0], ranks_per_dim[1] );
partitioner = Cajita::ManualBlockPartitioner<2>( ranks_per_dim );
redistributeTest( global_grid, cell_size, 2, 2, true, 0 );
}
}

//---------------------------------------------------------------------------//
TEST( TEST_CATEGORY, periodic_test )
{
// Let MPI compute the partitioning for this test.
int comm_size;
MPI_Comm_size( MPI_COMM_WORLD, &comm_size );
std::array<int, 2> ranks_per_dim = { 0, 0 };
MPI_Dims_create( comm_size, 2, ranks_per_dim.data() );
Cajita::ManualBlockPartitioner<2> partitioner( ranks_per_dim );

// Every boundary is periodic
std::array<bool, 2> is_periodic = { true, true };

// Create global grid.
double cell_size = 0.23;
auto global_grid = createGrid( partitioner, is_periodic, cell_size );

// Test in-place
// Test multiple system halo sizes
for ( int i = 0; i < 3; i++ )
// Test multiple minimum_halo_width
for ( int j = 0; j < 3; j++ )
redistributeTest( global_grid, cell_size, 1, j, false, 0 );

// Retest with separate destination AoSoA.
redistributeTest( global_grid, cell_size, 2, 2, true, 1 );

// Test with forced communication.
redistributeTest( global_grid, cell_size, 2, 2, true, 0 );

// Test with different block configurations to make sure all the
// dimensions get partitioned even at small numbers of ranks.
if ( ranks_per_dim[0] != ranks_per_dim[1] )
{
std::swap( ranks_per_dim[0], ranks_per_dim[1] );
partitioner = Cajita::ManualBlockPartitioner<2>( ranks_per_dim );
redistributeTest( global_grid, cell_size, 2, 2, true, 0 );
}
}

//---------------------------------------------------------------------------//
TEST( TEST_CATEGORY, local_only_test )
{
// Let MPI compute the partitioning for this test.
int comm_size;
MPI_Comm_size( MPI_COMM_WORLD, &comm_size );
std::array<int, 2> ranks_per_dim = { 0, 0 };
MPI_Dims_create( comm_size, 2, ranks_per_dim.data() );
Cajita::ManualBlockPartitioner<2> partitioner( ranks_per_dim );

// Every boundary is periodic
std::array<bool, 2> is_periodic = { true, true };

// Create global grid.
double cell_size = 0.23;
auto global_grid = createGrid( partitioner, is_periodic, cell_size );

localOnlyTest( global_grid, cell_size );
}
//---------------------------------------------------------------------------//

} // end namespace Test
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