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mfem/fem/lor/lor_rt.cpp
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// Copyright (c) 2010-2022, Lawrence Livermore National Security, LLC. Produced
// at the Lawrence Livermore National Laboratory. All Rights reserved. See files
// LICENSE and NOTICE for details. LLNL-CODE-806117.
//
// This file is part of the MFEM library. For more information and source code
// availability visit https://mfem.org.
//
// MFEM is free software; you can redistribute it and/or modify it under the
// terms of the BSD-3 license. We welcome feedback and contributions, see file
// CONTRIBUTING.md for details.
#include "lor_rt.hpp"
#include "lor_util.hpp"
#include "../../linalg/dtensor.hpp"
#include "../../general/forall.hpp"
namespace mfem
{
template <int ORDER>
void BatchedLOR_RT::Assemble2D()
{
const int nel_ho = fes_ho.GetNE();
static constexpr int nv = 4;
static constexpr int ne = 4;
static constexpr int dim = 2;
static constexpr int ddm2 = (dim*(dim+1))/2;
static constexpr int ngeom = ddm2 + 1;
static constexpr int o = ORDER;
static constexpr int op1 = ORDER + 1;
static constexpr int ndof_per_el = dim*o*op1;
static constexpr int nnz_per_row = 7;
static constexpr int sz_local_mat = ne*ne;
const bool const_mq = c1.Size() == 1;
const auto MQ = const_mq
? Reshape(c1.Read(), 1, 1, 1)
: Reshape(c1.Read(), op1, op1, nel_ho);
const bool const_dq = c2.Size() == 1;
const auto DQ = const_dq
? Reshape(c2.Read(), 1, 1, 1)
: Reshape(c2.Read(), op1, op1, nel_ho);
sparse_ij.SetSize(nnz_per_row*ndof_per_el*nel_ho);
auto V = Reshape(sparse_ij.Write(), nnz_per_row, o*op1, dim, nel_ho);
auto X = X_vert.Read();
MFEM_FORALL_2D(iel_ho, nel_ho, ORDER, ORDER, 1,
{
MFEM_FOREACH_THREAD(iy,y,o)
{
MFEM_FOREACH_THREAD(ix,x,op1)
{
for (int c=0; c<2; ++c)
{
for (int j=0; j<nnz_per_row; ++j)
{
V(j,ix+iy*op1,c,iel_ho) = 0.0;
}
}
}
}
MFEM_SYNC_THREAD;
// Loop over the sub-elements
MFEM_FOREACH_THREAD(ky,y,ORDER)
{
MFEM_FOREACH_THREAD(kx,x,ORDER)
{
// Compute geometric factors at quadrature points
double Q_[ngeom*nv];
double local_mat_[sz_local_mat];
DeviceTensor<3> Q(Q_, ngeom, 2, 2);
DeviceTensor<2> local_mat(local_mat_, ne, ne);
// local_mat is the local (dense) stiffness matrix
for (int i=0; i<sz_local_mat; ++i) { local_mat[i] = 0.0; }
double vx[4], vy[4];
LORVertexCoordinates2D<ORDER>(X, iel_ho, kx, ky, vx, vy);
for (int iqx=0; iqx<2; ++iqx)
{
for (int iqy=0; iqy<2; ++iqy)
{
const double x = iqx;
const double y = iqy;
const double w = 1.0/4.0;
double J_[2*2];
DeviceTensor<2> J(J_, 2, 2);
Jacobian2D(x, y, vx, vy, J);
const double detJ = Det2D(J);
const double w_detJ = w/detJ;
Q(0,iqy,iqx) = w_detJ * (J(0,0)*J(0,0) + J(1,0)*J(1,0)); // 1,1
Q(1,iqy,iqx) = w_detJ * (J(0,0)*J(0,1) + J(1,0)*J(1,1)); // 1,2
Q(2,iqy,iqx) = w_detJ * (J(0,1)*J(0,1) + J(1,1)*J(1,1)); // 2,2
Q(3,iqy,iqx) = w_detJ;
}
}
for (int iqx=0; iqx<2; ++iqx)
{
for (int iqy=0; iqy<2; ++iqy)
{
const double mq = const_mq ? MQ(0,0,0) : MQ(kx+iqx, ky+iqy, iel_ho);
const double dq = const_dq ? DQ(0,0,0) : DQ(kx+iqx, ky+iqy, iel_ho);
// Loop over x,y components. c=0 => x, c=1 => y
for (int cj=0; cj<dim; ++cj)
{
for (int bj=0; bj<2; ++bj)
{
const double bxj = (cj == 0 && bj == iqx) ? 1 : 0;
const double byj = (cj == 1 && bj == iqy) ? 1 : 0;
const double div_j = (bj == 0) ? -1 : 1;
const double jj_loc = bj + 2*cj;
for (int ci=0; ci<dim; ++ci)
{
for (int bi=0; bi<2; ++bi)
{
const double bxi = (ci == 0 && bi == iqx) ? 1 : 0;
const double byi = (ci == 1 && bi == iqy) ? 1 : 0;
const double div_i = (bi == 0) ? -1 : 1;
const double ii_loc = bi + 2*ci;
// Only store the lower-triangular part of
// the matrix (by symmetry).
if (jj_loc > ii_loc) { continue; }
double val = 0.0;
val += bxi*bxj*Q(0,iqy,iqx);
val += byi*bxj*Q(1,iqy,iqx);
val += bxi*byj*Q(1,iqy,iqx);
val += byi*byj*Q(2,iqy,iqx);
val *= mq;
val += dq*div_j*div_i*Q(3,iqy,iqx);
local_mat(ii_loc, jj_loc) += val;
}
}
}
}
}
}
// Assemble the local matrix into the macro-element sparse matrix
// in a format similar to coordinate format. The (I,J) arrays
// are implicit (not stored explicitly).
for (int ii_loc=0; ii_loc<ne; ++ii_loc)
{
const int ci = ii_loc/2;
const int bi = ii_loc%2;
const int ix = (ci == 0) ? bi : 0;
const int iy = (ci == 1) ? bi : 0;
int ii = kx+ix + (ky+iy)*((ci == 0) ? op1 : o);
for (int jj_loc=0; jj_loc<ne; ++jj_loc)
{
const int cj = jj_loc/2;
const int bj = jj_loc%2;
const int jj_off = (ci == cj) ? (bj - bi + 1) : (3 + 1-bi + 2*bj);
// Symmetry
const double val = (jj_loc <= ii_loc)
? local_mat(ii_loc, jj_loc)
: local_mat(jj_loc, ii_loc);
AtomicAdd(V(jj_off, ii, ci, iel_ho), val);
}
}
}
}
});
sparse_mapping.SetSize(nnz_per_row*ndof_per_el);
sparse_mapping = -1;
auto map = Reshape(sparse_mapping.HostReadWrite(), nnz_per_row, ndof_per_el);
for (int ci=0; ci<2; ++ci)
{
const int i_off = (ci == 0) ? 0 : o*op1;
const int id0 = ci;
const int id1 = (ci+1)%2;
const int nxi = (ci == 0) ? op1 : o;
for (int i0=0; i0<op1; ++i0)
{
for (int i1=0; i1<o; ++i1)
{
int ii_lex[2];
ii_lex[id0] = i0;
ii_lex[id1] = i1;
const int ii_el = i_off + ii_lex[0] + ii_lex[1]*nxi;
for (int cj_rel=0; cj_rel<2; ++cj_rel)
{
const int cj = (ci + cj_rel) % 2;
const int j_off = (cj == 0) ? 0 : o*op1;
const int nxj = (cj == 0) ? op1 : o;
const int j0_begin = (i0 > 0) ? i0-1 : i0;
const int j0_end = (cj_rel == 0)
? ((i0 < o) ? i0+1 : i0)
: ((i0 < o) ? i0 : i0-1);
const int j1_begin = i1;
const int j1_end = (cj_rel == 0) ? i1 : i1+1;
for (int j0=j0_begin; j0<=j0_end; ++j0)
{
const int d0 = 1 + j0 - i0;
for (int j1=j1_begin; j1<=j1_end; ++j1)
{
const int d1 = j1 - i1;
int jj_lex[2];
jj_lex[id0] = j0;
jj_lex[id1] = j1;
const int jj_el = j_off + jj_lex[0] + jj_lex[1]*nxj;
const int jj_off = (cj_rel == 0) ? d0 : 3 + d0 + 2*d1;
map(jj_off, ii_el) = jj_el;
}
}
}
}
}
}
}
template <int ORDER>
void BatchedLOR_RT::Assemble3D()
{
const int nel_ho = fes_ho.GetNE();
static constexpr int nv = 8; // number of vertices in hexahedron
static constexpr int nf = 6; // number of faces in hexahedron
static constexpr int dim = 3;
static constexpr int ddm2 = (dim*(dim+1))/2;
static constexpr int ngeom = ddm2 + 1; // number of geometric factors stored
static constexpr int o = ORDER;
static constexpr int op1 = ORDER + 1;
static constexpr int ndof_per_el = dim*o*o*op1;
static constexpr int nnz_per_row = 11;
static constexpr int sz_local_mat = nf*nf;
const bool const_mq = c1.Size() == 1;
const auto MQ = const_mq
? Reshape(c1.Read(), 1, 1, 1, 1)
: Reshape(c1.Read(), op1, op1, op1, nel_ho);
const bool const_dq = c2.Size() == 1;
const auto DQ = const_dq
? Reshape(c2.Read(), 1, 1, 1, 1)
: Reshape(c2.Read(), op1, op1, op1, nel_ho);
sparse_ij.SetSize(nnz_per_row*ndof_per_el*nel_ho);
auto V = Reshape(sparse_ij.Write(), nnz_per_row, o*o*op1, dim, nel_ho);
auto X = X_vert.Read();
// Last thread dimension is lowered to avoid "too many resources" error
MFEM_FORALL_3D(iel_ho, nel_ho, ORDER, ORDER, (ORDER>6)?4:ORDER,
{
MFEM_FOREACH_THREAD(iz,z,o)
{
MFEM_FOREACH_THREAD(iy,y,o)
{
MFEM_FOREACH_THREAD(ix,x,op1)
{
for (int c=0; c<dim; ++c)
{
for (int j=0; j<nnz_per_row; ++j)
{
V(j,ix+iy*op1+iz*o*op1,c,iel_ho) = 0.0;
}
}
}
}
}
MFEM_SYNC_THREAD;
// Loop over the sub-elements
MFEM_FOREACH_THREAD(kz,z,ORDER)
{
MFEM_FOREACH_THREAD(ky,y,ORDER)
{
MFEM_FOREACH_THREAD(kx,x,ORDER)
{
// Geometric factors at quadrature points (element vertices)
double Q_[ngeom*nv];
DeviceTensor<4> Q(Q_, ngeom, 2, 2, 2);
double local_mat_[sz_local_mat];
DeviceTensor<2> local_mat(local_mat_, nf, nf);
for (int i=0; i<sz_local_mat; ++i) { local_mat[i] = 0.0; }
double vx[8], vy[8], vz[8];
LORVertexCoordinates3D<ORDER>(X, iel_ho, kx, ky, kz, vx, vy, vz);
for (int iqz=0; iqz<2; ++iqz)
{
for (int iqy=0; iqy<2; ++iqy)
{
for (int iqx=0; iqx<2; ++iqx)
{
const double x = iqx;
const double y = iqy;
const double z = iqz;
const double w = 1.0/8.0;
double J_[3*3];
DeviceTensor<2> J(J_, 3, 3);
Jacobian3D(x, y, z, vx, vy, vz, J);
const double detJ = Det3D(J);
const double w_detJ = w/detJ;
Q(0,iqz,iqy,iqx) = w_detJ*(J(0,0)*J(0,0)+J(1,0)*J(1,0)+J(2,0)*J(2,0)); // 1,1
Q(1,iqz,iqy,iqx) = w_detJ*(J(0,1)*J(0,0)+J(1,1)*J(1,0)+J(2,1)*J(2,0)); // 2,1
Q(2,iqz,iqy,iqx) = w_detJ*(J(0,2)*J(0,0)+J(1,2)*J(1,0)+J(2,2)*J(2,0)); // 3,1
Q(3,iqz,iqy,iqx) = w_detJ*(J(0,1)*J(0,1)+J(1,1)*J(1,1)+J(2,1)*J(2,1)); // 2,2
Q(4,iqz,iqy,iqx) = w_detJ*(J(0,2)*J(0,1)+J(1,2)*J(1,1)+J(2,2)*J(2,1)); // 3,2
Q(5,iqz,iqy,iqx) = w_detJ*(J(0,2)*J(0,2)+J(1,2)*J(1,2)+J(2,2)*J(2,2)); // 3,3
Q(6,iqz,iqy,iqx) = w_detJ;
}
}
}
for (int iqz=0; iqz<2; ++iqz)
{
for (int iqy=0; iqy<2; ++iqy)
{
for (int iqx=0; iqx<2; ++iqx)
{
const double mq = const_mq ? MQ(0,0,0,0) : MQ(kx+iqx, ky+iqy, kz+iqz, iel_ho);
const double dq = const_dq ? DQ(0,0,0,0) : DQ(kx+iqx, ky+iqy, kz+iqz, iel_ho);
// Loop over x,y,z components. 0 => x, 1 => y, 2 => z
for (int cj=0; cj<dim; ++cj)
{
const double jq0 = (cj == 0) ? iqx : ((cj == 1) ? iqy : iqz);
const int jd_0 = cj;
const int jd_1 = (cj + 1)%3;
const int jd_2 = (cj + 2)%3;
for (int bj=0; bj<2; ++bj) // 2 faces in each dim
{
const double div_j = (bj == 0) ? -1 : 1;
double basis_j[3];
basis_j[jd_0] = (bj == jq0) ? 1 : 0;
basis_j[jd_1] = 0.0;
basis_j[jd_2] = 0.0;
const int jj_loc = bj + 2*cj;
for (int ci=0; ci<dim; ++ci)
{
const double iq0 = (ci == 0) ? iqx : ((ci == 1) ? iqy : iqz);
const int id_0 = ci;
const int id_1 = (ci + 1)%3;
const int id_2 = (ci + 2)%3;
for (int bi=0; bi<2; ++bi)
{
const double div_i = (bi == 0) ? -1 : 1;
double basis_i[3];
basis_i[id_0] = (bi == iq0) ? 1 : 0;
basis_i[id_1] = 0.0;
basis_i[id_2] = 0.0;
const int ii_loc = bi + 2*ci;
// Only store the lower-triangular part of
// the matrix (by symmetry).
if (jj_loc > ii_loc) { continue; }
const double div_div = Q(6,iqz,iqy,iqx)*div_i*div_j;
double basis_basis = 0.0;
basis_basis += Q(0,iqz,iqy,iqx)*basis_i[0]*basis_j[0];
basis_basis += Q(1,iqz,iqy,iqx)*(basis_i[0]*basis_j[1] + basis_i[1]*basis_j[0]);
basis_basis += Q(2,iqz,iqy,iqx)*(basis_i[0]*basis_j[2] + basis_i[2]*basis_j[0]);
basis_basis += Q(3,iqz,iqy,iqx)*basis_i[1]*basis_j[1];
basis_basis += Q(4,iqz,iqy,iqx)*(basis_i[1]*basis_j[2] + basis_i[2]*basis_j[1]);
basis_basis += Q(5,iqz,iqy,iqx)*basis_i[2]*basis_j[2];
const double val = dq*div_div + mq*basis_basis;
// const double val = 1.0;
local_mat(ii_loc, jj_loc) += val;
}
}
}
}
}
}
}
// Assemble the local matrix into the macro-element sparse matrix
// The nonzeros of the macro-element sparse matrix are ordered as
// follows:
//
// The axes are ordered relative to the direction of the basis
// vector, e.g. for x-vectors, the axes are (x,y,z), for
// y-vectors the axes are (y,z,x), and for z-vectors the axes are
// (z,x,y).
//
// The nonzeros are then given in "rotated lexicographic"
// ordering, according to these axes.
for (int ii_loc=0; ii_loc<nf; ++ii_loc)
{
const int ci = ii_loc/2;
const int bi = ii_loc%2;
const int id0 = ci;
const int id1 = (ci+1)%3;
const int id2 = (ci+2)%3;
const int i0 = bi;
const int i1 = 0;
const int i2 = 0;
int ii_lex[3];
ii_lex[id0] = i0;
ii_lex[id1] = i1;
ii_lex[id2] = i2;
const int nx = (ci == 0) ? op1 : o;
const int ny = (ci == 1) ? op1 : o;
const int ii = kx+ii_lex[0] + (ky+ii_lex[1])*nx + (kz+ii_lex[2])*nx*ny;
for (int jj_loc=0; jj_loc<nf; ++jj_loc)
{
const int cj = jj_loc/2;
// add 3 to take modulus (rather than remainder) when
// (cj - ci) is negative
const int cj_rel = (3 + cj - ci)%3;
const int bj = jj_loc%2;
const int jd0 = cj_rel;
const int jd1 = (cj_rel+1)%3;
const int jd2 = (cj_rel+2)%3;
int jj_rel[3];
jj_rel[jd0] = bj;
jj_rel[jd1] = 0;
jj_rel[jd2] = 0;
const int d0 = jj_rel[0] - i0 + 1;
const int d1 = jj_rel[1] - i1;
const int d2 = jj_rel[2] - i2;
int jj_off;
if (cj_rel == 0) { jj_off = d0; }
else if (cj_rel == 1) { jj_off = 3 + d0 + 2*d1; }
else /* if (cj_rel == 2) */ { jj_off = 7 + d0 + 2*d2; }
// Symmetry
const double val = (jj_loc <= ii_loc)
? local_mat(ii_loc, jj_loc)
: local_mat(jj_loc, ii_loc);
AtomicAdd(V(jj_off, ii, ci, iel_ho), val);
}
}
}
}
}
});
sparse_mapping.SetSize(nnz_per_row*ndof_per_el);
sparse_mapping = -1;
auto map = Reshape(sparse_mapping.HostReadWrite(), nnz_per_row, ndof_per_el);
for (int ci=0; ci<dim; ++ci)
{
const int i_off = ci*o*o*op1;
const int id0 = ci;
const int id1 = (ci+1)%3;
const int id2 = (ci+2)%3;
const int nxi = (ci == 0) ? op1 : o;
const int nyi = (ci == 1) ? op1 : o;
for (int i0=0; i0<op1; ++i0)
{
for (int i1=0; i1<o; ++i1)
{
for (int i2=0; i2<o; ++i2)
{
int ii_lex[3];
ii_lex[id0] = i0;
ii_lex[id1] = i1;
ii_lex[id2] = i2;
const int ii_el = i_off + ii_lex[0] + ii_lex[1]*nxi + ii_lex[2]*nxi*nyi;
for (int cj_rel=0; cj_rel<dim; ++cj_rel)
{
const int cj = (ci + cj_rel) % 3;
const int j_off = cj*o*o*op1;
const int nxj = (cj == 0) ? op1 : o;
const int nyj = (cj == 1) ? op1 : o;
const int j0_begin = (i0 > 0) ? i0-1 : i0;
const int j0_end = (cj_rel == 0)
? ((i0 < o) ? i0+1 : i0)
: ((i0 < o) ? i0 : i0-1);
const int j1_begin = i1;
const int j1_end = (cj_rel == 1) ? i1+1 : i1;
const int j2_begin = i2;
const int j2_end = (cj_rel == 2) ? i2+1 : i2;
for (int j0=j0_begin; j0<=j0_end; ++j0)
{
const int d0 = 1 + j0 - i0;
for (int j1=j1_begin; j1<=j1_end; ++j1)
{
const int d1 = j1 - i1;
for (int j2=j2_begin; j2<=j2_end; ++j2)
{
const int d2 = j2 - i2;
int jj_lex[3];
jj_lex[id0] = j0;
jj_lex[id1] = j1;
jj_lex[id2] = j2;
const int jj_el = j_off + jj_lex[0] + jj_lex[1]*nxj + jj_lex[2]*nxj*nyj;
int jj_off;
if (cj_rel == 0) { jj_off = d0; }
else if (cj_rel == 1) { jj_off = 3 + d0 + 2*d1; }
else /* if (cj_rel == 2) */ { jj_off = 7 + d0 + 2*d2; }
map(jj_off, ii_el) = jj_el;
}
}
}
}
}
}
}
}
}
// Explicit template instantiations
template void BatchedLOR_RT::Assemble2D<1>();
template void BatchedLOR_RT::Assemble2D<2>();
template void BatchedLOR_RT::Assemble2D<3>();
template void BatchedLOR_RT::Assemble2D<4>();
template void BatchedLOR_RT::Assemble2D<5>();
template void BatchedLOR_RT::Assemble2D<6>();
template void BatchedLOR_RT::Assemble2D<7>();
template void BatchedLOR_RT::Assemble2D<8>();
template void BatchedLOR_RT::Assemble3D<1>();
template void BatchedLOR_RT::Assemble3D<2>();
template void BatchedLOR_RT::Assemble3D<3>();
template void BatchedLOR_RT::Assemble3D<4>();
template void BatchedLOR_RT::Assemble3D<5>();
template void BatchedLOR_RT::Assemble3D<6>();
template void BatchedLOR_RT::Assemble3D<7>();
template void BatchedLOR_RT::Assemble3D<8>();
BatchedLOR_RT::BatchedLOR_RT(BilinearForm &a,
FiniteElementSpace &fes_ho_,
Vector &X_vert_,
Vector &sparse_ij_,
Array<int> &sparse_mapping_)
: BatchedLORKernel(fes_ho_, X_vert_, sparse_ij_, sparse_mapping_)
{
ProjectLORCoefficient<VectorFEMassIntegrator>(a, c1);
ProjectLORCoefficient<DivDivIntegrator>(a, c2);
}
} // namespace mfem