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mfem/fem/integ/bilininteg_gradient_pa.cpp
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// Copyright (c) 2010-2025, 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 "../../general/forall.hpp"
#include "../bilininteg.hpp"
#include "../gridfunc.hpp"
#include "../qfunction.hpp"
namespace mfem
{
/* Description of the *SetupND functions
Inputs are as follows
\b Q1D number of quadrature points in one dimension.
\b NE number of elements.
\b MAP_TYPE map type of test fe.
\b w quadrature weights.
\b j element Jacobians.
\b detj element Jacobian determinants.
\b c coefficient at quadrature points.
The function is used to precompute data needed at quadrature points during
the action. */
/* Description of the *ApplyND functions
The template parameters are
\b T_D1D number of degrees of freedom in one dimension,
\b T_Q1D number of quadrature points in one dimension,
and are necessary to allow for compiler optimizations inside the kernel.
Inputs are as follows
\b NE number of elements.
\b B matrix of basis functions.
\b G matrix of derivatives of the basis functions.
\b Bt transpose of matrix of basis functions.
\b Gt transpose matrix of derivatives of the basis functions.
\b op data used during action of the element matrix in the tensor
product application.
\b x input vector of degrees of freedom on the element.
\b y output vector of degrees of freedom on the element.
The function computes the kernel for one dimension that is suitable for
tensor product action to form ND operators.
Most of the ND inputs are reshaped as NQ*(ND*ND)*NE data structure, i.e.
to allow indexing such as op(qpt,i,j,el).
The output data structure is dependent on the kernel and layout of the
dimension ND and element number, but in general resembles the action of the
element matrix in the tensor product application. */
/* Description of the Smem*ApplyND functions
The shared memory (Smem) versions of the kernels differ from the regular
versions in the following properties.
\b mfem::forall is using only one level of parallelism.
\b mfem::forall_ND uses an additional level of parallelism
\b MFEM_FOREACH_THREAD
These macros allow automatic mapping of manually defined blocks to
underlying hardware threads. These threads can share memory by using
the \b MFEM_SHARED keyword for local arrays. */
// PA Gradient Assemble 2D kernel
static void PAGradientSetup2D(const int Q1D,
const int NE,
const int MAP_TYPE,
const Array<real_t> &w,
const Vector &j,
const Vector &detj,
const Vector &c,
Vector &op)
{
const bool by_val = (MAP_TYPE == FiniteElement::VALUE);
const int NQ = Q1D*Q1D;
auto W = w.Read();
auto J = Reshape(j.Read(), NQ, 2, 2, NE);
auto DETJ = Reshape(detj.Read(), NQ, NE);
auto y = Reshape(op.Write(), NQ, 2, 2, NE);
const bool const_c = c.Size() == 1;
const auto C = const_c ? Reshape(c.Read(), 1,1) :
Reshape(c.Read(), NQ, NE);
mfem::forall(NE, [=] MFEM_HOST_DEVICE (int e)
{
for (int q = 0; q < NQ; ++q)
{
const real_t J11 = J(q,0,0,e);
const real_t J12 = J(q,0,1,e);
const real_t J21 = J(q,1,0,e);
const real_t J22 = J(q,1,1,e);
// Coefficient and weight
const real_t Co = const_c ? C(0,0) : C(q,e);
const real_t cw = W[q] * Co * (by_val ? 1.0 : 1.0/DETJ(q,e));
// Store wq * Q * adj(J)
y(q,0,0,e) = cw * J22; // 1,1
y(q,0,1,e) = cw * -J12; // 1,2
y(q,1,0,e) = cw * -J21; // 2,1
y(q,1,1,e) = cw * J11; // 2,2
}
});
}
// PA Gradient Assemble 3D kernel
static void PAGradientSetup3D(const int Q1D,
const int NE,
const int MAP_TYPE,
const Array<real_t> &w,
const Vector &j,
const Vector &detj,
const Vector &c,
Vector &op)
{
const bool by_val = (MAP_TYPE == FiniteElement::VALUE);
const int NQ = Q1D*Q1D*Q1D;
auto W = w.Read();
auto J = Reshape(j.Read(), NQ, 3, 3, NE);
auto DETJ = Reshape(detj.Read(), NQ, NE);
auto y = Reshape(op.Write(), NQ, 3, 3, NE);
const bool const_c = c.Size() == 1;
const auto C = const_c ? Reshape(c.Read(), 1,1) :
Reshape(c.Read(), NQ,NE);
mfem::forall(NE, [=] MFEM_HOST_DEVICE (int e)
{
for (int q = 0; q < NQ; ++q)
{
const real_t J11 = J(q,0,0,e);
const real_t J21 = J(q,1,0,e);
const real_t J31 = J(q,2,0,e);
const real_t J12 = J(q,0,1,e);
const real_t J22 = J(q,1,1,e);
const real_t J32 = J(q,2,1,e);
const real_t J13 = J(q,0,2,e);
const real_t J23 = J(q,1,2,e);
const real_t J33 = J(q,2,2,e);
// adj(J)
const real_t A11 = (J22 * J33) - (J23 * J32);
const real_t A12 = (J32 * J13) - (J12 * J33);
const real_t A13 = (J12 * J23) - (J22 * J13);
const real_t A21 = (J31 * J23) - (J21 * J33);
const real_t A22 = (J11 * J33) - (J13 * J31);
const real_t A23 = (J21 * J13) - (J11 * J23);
const real_t A31 = (J21 * J32) - (J31 * J22);
const real_t A32 = (J31 * J12) - (J11 * J32);
const real_t A33 = (J11 * J22) - (J12 * J21);
// Coefficient and weight
const real_t Co = const_c ? C(0,0) : C(q,e);
const real_t cw = W[q] * Co * (by_val ? 1.0 : 1.0/DETJ(q,e));
// Store wq * Q * adj(J)
y(q,0,0,e) = cw * A11; // 1,1
y(q,0,1,e) = cw * A12; // 1,2
y(q,0,2,e) = cw * A13; // 1,3
y(q,1,0,e) = cw * A21; // 2,1
y(q,1,1,e) = cw * A22; // 2,2
y(q,1,2,e) = cw * A23; // 2,3
y(q,2,0,e) = cw * A31; // 3,1
y(q,2,1,e) = cw * A32; // 3,2
y(q,2,2,e) = cw * A33; // 3,3
}
});
}
static void PAGradientSetup(const int dim,
const int TR_D1D,
const int TE_D1D,
const int Q1D,
const int NE,
const int MAP_TYPE,
const Array<real_t> &W,
const Vector &J,
const Vector &DET_J,
const Vector &COEFF,
Vector &op)
{
if (dim == 1) { MFEM_ABORT("dim==1 not supported in PAGradientSetup"); }
if (dim == 2)
{
PAGradientSetup2D(Q1D, NE, MAP_TYPE, W, J, DET_J, COEFF, op);
}
if (dim == 3)
{
PAGradientSetup3D(Q1D, NE, MAP_TYPE, W, J, DET_J, COEFF, op);
}
}
void GradientIntegrator::AssemblePA(const FiniteElementSpace &trial_fes,
const FiniteElementSpace &test_fes)
{
// Assumes tensor-product elements ordered by nodes
MFEM_ASSERT(trial_fes.GetOrdering() == Ordering::byNODES,
"PA Only supports Ordering::byNODES!");
// Assuming the same element type
Mesh *mesh = trial_fes.GetMesh();
const FiniteElement &trial_fe = *trial_fes.GetTypicalFE(); // H1
const FiniteElement &test_fe = *test_fes.GetTypicalFE(); // H1^d or L2^d
ElementTransformation *trans = mesh->GetTypicalElementTransformation();
const IntegrationRule *ir = IntRule ? IntRule : &GetRule(trial_fe, test_fe,
*trans);
const int dims = trial_fe.GetDim();
const int dimsToStore = dims * dims;
nq = ir->GetNPoints();
dim = mesh->Dimension();
ne = trial_fes.GetNE();
geom = mesh->GetGeometricFactors(*ir, GeometricFactors::JACOBIANS |
GeometricFactors::DETERMINANTS);
trial_maps = &trial_fe.GetDofToQuad(*ir, DofToQuad::TENSOR);
trial_dofs1D = trial_maps->ndof;
quad1D = trial_maps->nqpt;
test_maps = &test_fe.GetDofToQuad(*ir, DofToQuad::TENSOR);
test_dofs1D = test_maps->ndof;
MFEM_ASSERT(quad1D == test_maps->nqpt,
"PA requires test and trial space to have same number of quadrature points!");
pa_data.SetSize(nq * dimsToStore * ne, Device::GetMemoryType());
QuadratureSpace qs(*mesh, *ir);
CoefficientVector coeff(Q, qs, CoefficientStorage::COMPRESSED);
PAGradientSetup(dim, trial_dofs1D, test_dofs1D, quad1D, ne,
test_fe.GetMapType(), ir->GetWeights(), geom->J, geom->detJ,
coeff, pa_data);
}
// PA Gradient Apply 2D kernel
template<int T_TR_D1D = 0, int T_TE_D1D = 0, int T_Q1D = 0>
static void PAGradientApply2D(const int NE,
const Array<real_t> &b,
const Array<real_t> &g,
const Array<real_t> &bt,
const Vector &op_,
const Vector &x_,
Vector &y_,
const int tr_d1d = 0,
const int te_d1d = 0,
const int q1d = 0)
{
const int TR_D1D = T_TR_D1D ? T_TR_D1D : tr_d1d;
const int TE_D1D = T_TE_D1D ? T_TE_D1D : te_d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
MFEM_VERIFY(TR_D1D <= DeviceDofQuadLimits::Get().MAX_D1D, "");
MFEM_VERIFY(TE_D1D <= DeviceDofQuadLimits::Get().MAX_D1D, "");
MFEM_VERIFY(Q1D <= DeviceDofQuadLimits::Get().MAX_Q1D, "");
auto B = Reshape(b.Read(), Q1D, TR_D1D);
auto G = Reshape(g.Read(), Q1D, TR_D1D);
auto Bt = Reshape(bt.Read(), TE_D1D, Q1D);
auto op = Reshape(op_.Read(), Q1D*Q1D, 2,2, NE);
auto x = Reshape(x_.Read(), TR_D1D, TR_D1D, NE);
auto y = Reshape(y_.ReadWrite(), TE_D1D, TE_D1D, 2, NE);
mfem::forall(NE, [=] MFEM_HOST_DEVICE (int e)
{
const int TR_D1D = T_TR_D1D ? T_TR_D1D : tr_d1d;
const int TE_D1D = T_TE_D1D ? T_TE_D1D : te_d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
const int VDIM = 2;
// the following variables are evaluated at compile time
constexpr int max_TE_D1D = T_TE_D1D ? T_TE_D1D : DofQuadLimits::MAX_D1D;
constexpr int max_Q1D = T_Q1D ? T_Q1D : DofQuadLimits::MAX_Q1D;
real_t grad[max_Q1D][max_Q1D][VDIM];
for (int qy = 0; qy < Q1D; ++qy)
{
for (int qx = 0; qx < Q1D; ++qx)
{
grad[qy][qx][0] = 0.0;
grad[qy][qx][1] = 0.0;
}
}
for (int dy = 0; dy < TR_D1D; ++dy)
{
real_t gradX[max_Q1D][VDIM];
for (int qx = 0; qx < Q1D; ++qx)
{
gradX[qx][0] = 0.0;
gradX[qx][1] = 0.0;
}
for (int dx = 0; dx < TR_D1D; ++dx)
{
const real_t s = x(dx,dy,e);
for (int qx = 0; qx < Q1D; ++qx)
{
gradX[qx][0] += s * G(qx,dx);
gradX[qx][1] += s * B(qx,dx);
}
}
for (int qy = 0; qy < Q1D; ++qy)
{
const real_t wy = B(qy,dy);
const real_t wDy = G(qy,dy);
for (int qx = 0; qx < Q1D; ++qx)
{
grad[qy][qx][0] += gradX[qx][0] * wy;
grad[qy][qx][1] += gradX[qx][1] * wDy;
}
}
}
// We've now calculated grad(p) = [Dxy, xDy] in plane
for (int qy = 0; qy < Q1D; ++qy)
{
for (int qx = 0; qx < Q1D; ++qx)
{
const int q = qx + qy * Q1D;
const real_t gradX = grad[qy][qx][0];
const real_t gradY = grad[qy][qx][1];
grad[qy][qx][0] = gradX*op(q,0,0,e) + gradY*op(q,1,0,e);
grad[qy][qx][1] = gradX*op(q,0,1,e) + gradY*op(q,1,1,e);
}
}
// We've now calculated grad = grad p * op
for (int qy = 0; qy < Q1D; ++qy)
{
real_t opX[max_TE_D1D][VDIM];
for (int dx = 0; dx < TE_D1D; ++dx)
{
opX[dx][0] = 0.0;
opX[dx][1] = 0.0;
for (int qx = 0; qx < Q1D; ++qx)
{
opX[dx][0] += Bt(dx,qx)*grad[qy][qx][0];
opX[dx][1] += Bt(dx,qx)*grad[qy][qx][1];
}
}
for (int dy = 0; dy < TE_D1D; ++dy)
{
const real_t wy = Bt(dy,qy);
for (int dx = 0; dx < TE_D1D; ++dx)
{
y(dx,dy,0,e) += wy*opX[dx][0];
y(dx,dy,1,e) += wy*opX[dx][1];
}
}
}
// We've now calculated y = u * grad
});
}
// PA Gradient Apply 2D kernel transpose
template<int T_TR_D1D = 0, int T_TE_D1D = 0, int T_Q1D = 0>
static void PAGradientApplyTranspose2D(const int NE,
const Array<real_t> &bt,
const Array<real_t> &gt,
const Array<real_t> &b,
const Vector &op_,
const Vector &x_,
Vector &y_,
const int tr_d1d = 0,
const int te_d1d = 0,
const int q1d = 0)
{
const int TR_D1D = T_TR_D1D ? T_TR_D1D : tr_d1d;
const int TE_D1D = T_TE_D1D ? T_TE_D1D : te_d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
MFEM_VERIFY(TR_D1D <= DeviceDofQuadLimits::Get().MAX_D1D, "");
MFEM_VERIFY(TE_D1D <= DeviceDofQuadLimits::Get().MAX_D1D, "");
MFEM_VERIFY(Q1D <= DeviceDofQuadLimits::Get().MAX_Q1D, "");
auto Bt = Reshape(bt.Read(), TR_D1D, Q1D);
auto Gt = Reshape(gt.Read(), TR_D1D, Q1D);
auto B = Reshape(b.Read(), Q1D, TE_D1D);
auto op = Reshape(op_.Read(), Q1D*Q1D, 2,2, NE);
auto x = Reshape(x_.Read(), TE_D1D, TE_D1D, 2, NE);
auto y = Reshape(y_.ReadWrite(), TR_D1D, TR_D1D, NE);
mfem::forall(NE, [=] MFEM_HOST_DEVICE (int e)
{
const int TR_D1D = T_TR_D1D ? T_TR_D1D : tr_d1d;
const int TE_D1D = T_TE_D1D ? T_TE_D1D : te_d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
const int VDIM = 2;
// the following variables are evaluated at compile time
constexpr int max_TR_D1D = T_TR_D1D ? T_TR_D1D : DofQuadLimits::MAX_D1D;
constexpr int max_Q1D = T_Q1D ? T_Q1D : DofQuadLimits::MAX_Q1D;
// B: testdof-to-quad
real_t Bxy[max_Q1D][max_Q1D][VDIM];
for (int qy = 0; qy < Q1D; ++qy)
{
for (int qx = 0; qx < Q1D; ++qx)
{
Bxy[qy][qx][0] = 0.0;
Bxy[qy][qx][1] = 0.0;
}
}
for (int dy = 0; dy < TE_D1D; ++dy)
{
real_t Bx[max_Q1D][VDIM];
for (int qx = 0; qx < Q1D; ++qx)
{
Bx[qx][0] = 0.0;
Bx[qx][1] = 0.0;
}
for (int dx = 0; dx < TE_D1D; ++dx)
{
const real_t s0 = x(dx,dy,0,e);
const real_t s1 = x(dx,dy,1,e);
for (int qx = 0; qx < Q1D; ++qx)
{
Bx[qx][0] += s0 * B(qx,dx);
Bx[qx][1] += s1 * B(qx,dx);
}
}
for (int qy = 0; qy < Q1D; ++qy)
{
const real_t wy = B(qy,dy);
for (int qx = 0; qx < Q1D; ++qx)
{
Bxy[qy][qx][0] += Bx[qx][0] * wy;
Bxy[qy][qx][1] += Bx[qx][1] * wy;
}
}
}
// D: quad-to-quad
for (int qy = 0; qy < Q1D; ++qy)
{
for (int qx = 0; qx < Q1D; ++qx)
{
const int q = qx + qy * Q1D;
const real_t Bxy0 = Bxy[qy][qx][0];
const real_t Bxy1 = Bxy[qy][qx][1];
Bxy[qy][qx][0] = Bxy0*op(q,0,0,e) + Bxy1*op(q,0,1,e);
Bxy[qy][qx][1] = Bxy0*op(q,1,0,e) + Bxy1*op(q,1,1,e);
}
}
// Bt: quad-to-trialdof
for (int qy = 0; qy < Q1D; ++qy)
{
real_t Btx[max_TR_D1D][VDIM];
for (int dx = 0; dx < TR_D1D; ++dx)
{
Btx[dx][0] = 0.0;
Btx[dx][1] = 0.0;
for (int qx = 0; qx < Q1D; ++qx)
{
Btx[dx][0] += Gt(dx,qx)*Bxy[qy][qx][0];
Btx[dx][1] += Bt(dx,qx)*Bxy[qy][qx][1];
}
}
for (int dy = 0; dy < TR_D1D; ++dy)
{
const real_t wy = Bt(dy,qy);
const real_t wDy = Gt(dy,qy);
for (int dx = 0; dx < TR_D1D; ++dx)
{
y(dx,dy,e) += wy*Btx[dx][0] + wDy*Btx[dx][1];
}
}
}
});
}
// PA Gradient Apply 3D kernel
template<const int T_TR_D1D = 0, const int T_TE_D1D = 0, const int T_Q1D = 0>
static void PAGradientApply3D(const int NE,
const Array<real_t> &b,
const Array<real_t> &g,
const Array<real_t> &bt,
const Vector &op_,
const Vector &x_,
Vector &y_,
int tr_d1d = 0,
int te_d1d = 0,
int q1d = 0)
{
const int TR_D1D = T_TR_D1D ? T_TR_D1D : tr_d1d;
const int TE_D1D = T_TE_D1D ? T_TE_D1D : te_d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
MFEM_VERIFY(TR_D1D <= DeviceDofQuadLimits::Get().MAX_D1D, "");
MFEM_VERIFY(TE_D1D <= DeviceDofQuadLimits::Get().MAX_D1D, "");
MFEM_VERIFY(Q1D <= DeviceDofQuadLimits::Get().MAX_Q1D, "");
auto B = Reshape(b.Read(), Q1D, TR_D1D);
auto G = Reshape(g.Read(), Q1D, TR_D1D);
auto Bt = Reshape(bt.Read(), TE_D1D, Q1D);
auto op = Reshape(op_.Read(), Q1D*Q1D*Q1D, 3,3, NE);
auto x = Reshape(x_.Read(), TR_D1D, TR_D1D, TR_D1D, NE);
auto y = Reshape(y_.ReadWrite(), TE_D1D, TE_D1D, TE_D1D, 3, NE);
mfem::forall(NE, [=] MFEM_HOST_DEVICE (int e)
{
const int TR_D1D = T_TR_D1D ? T_TR_D1D : tr_d1d;
const int TE_D1D = T_TE_D1D ? T_TE_D1D : te_d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
const int VDIM = 3;
// the following variables are evaluated at compile time
constexpr int max_TE_D1D = T_TE_D1D ? T_TE_D1D : DofQuadLimits::MAX_D1D;
constexpr int max_Q1D = T_Q1D ? T_Q1D : DofQuadLimits::MAX_Q1D;
real_t grad[max_Q1D][max_Q1D][max_Q1D][VDIM];
for (int qz = 0; qz < Q1D; ++qz)
{
for (int qy = 0; qy < Q1D; ++qy)
{
for (int qx = 0; qx < Q1D; ++qx)
{
grad[qz][qy][qx][0] = 0.0;
grad[qz][qy][qx][1] = 0.0;
grad[qz][qy][qx][2] = 0.0;
}
}
}
for (int dz = 0; dz < TR_D1D; ++dz)
{
real_t gradXY[max_Q1D][max_Q1D][3];
for (int qy = 0; qy < Q1D; ++qy)
{
for (int qx = 0; qx < Q1D; ++qx)
{
gradXY[qy][qx][0] = 0.0;
gradXY[qy][qx][1] = 0.0;
gradXY[qy][qx][2] = 0.0;
}
}
for (int dy = 0; dy < TR_D1D; ++dy)
{
real_t gradX[max_Q1D][2];
for (int qx = 0; qx < Q1D; ++qx)
{
gradX[qx][0] = 0.0;
gradX[qx][1] = 0.0;
}
for (int dx = 0; dx < TR_D1D; ++dx)
{
const real_t s = x(dx,dy,dz,e);
for (int qx = 0; qx < Q1D; ++qx)
{
gradX[qx][0] += s * B(qx,dx);
gradX[qx][1] += s * G(qx,dx);
}
}
for (int qy = 0; qy < Q1D; ++qy)
{
const real_t wy = B(qy,dy);
const real_t wDy = G(qy,dy);
for (int qx = 0; qx < Q1D; ++qx)
{
const real_t wx = gradX[qx][0];
const real_t wDx = gradX[qx][1];
gradXY[qy][qx][0] += wDx * wy;
gradXY[qy][qx][1] += wx * wDy;
gradXY[qy][qx][2] += wx * wy;
}
}
}
for (int qz = 0; qz < Q1D; ++qz)
{
const real_t wz = B(qz,dz);
const real_t wDz = G(qz,dz);
for (int qy = 0; qy < Q1D; ++qy)
{
for (int qx = 0; qx < Q1D; ++qx)
{
grad[qz][qy][qx][0] += gradXY[qy][qx][0] * wz;
grad[qz][qy][qx][1] += gradXY[qy][qx][1] * wz;
grad[qz][qy][qx][2] += gradXY[qy][qx][2] * wDz;
}
}
}
}
// We've now calculated grad(p) = [Dxyz, xDyz, xyDz] in plane
for (int qz = 0; qz < Q1D; ++qz)
{
for (int qy = 0; qy < Q1D; ++qy)
{
for (int qx = 0; qx < Q1D; ++qx)
{
const int q = qx + (qy + qz * Q1D) * Q1D;
const real_t gradX = grad[qz][qy][qx][0];
const real_t gradY = grad[qz][qy][qx][1];
const real_t gradZ = grad[qz][qy][qx][2];
grad[qz][qy][qx][0] = gradX*op(q,0,0,e) + gradY*op(q,1,0,e) + gradZ*op(q,2,0,e);
grad[qz][qy][qx][1] = gradX*op(q,0,1,e) + gradY*op(q,1,1,e) + gradZ*op(q,2,1,e);
grad[qz][qy][qx][2] = gradX*op(q,0,2,e) + gradY*op(q,1,2,e) + gradZ*op(q,2,2,e);
}
}
}
// We've now calculated grad = grad p * op
for (int qz = 0; qz < Q1D; ++qz)
{
real_t opXY[max_TE_D1D][max_TE_D1D][VDIM];
for (int dy = 0; dy < TE_D1D; ++dy)
{
for (int dx = 0; dx < TE_D1D; ++dx)
{
opXY[dy][dx][0] = 0.0;
opXY[dy][dx][1] = 0.0;
opXY[dy][dx][2] = 0.0;
}
}
for (int qy = 0; qy < Q1D; ++qy)
{
real_t opX[max_TE_D1D][VDIM];
for (int dx = 0; dx < TE_D1D; ++dx)
{
opX[dx][0] = 0.0;
opX[dx][1] = 0.0;
opX[dx][2] = 0.0;
for (int qx = 0; qx < Q1D; ++qx)
{
opX[dx][0] += Bt(dx,qx)*grad[qz][qy][qx][0];
opX[dx][1] += Bt(dx,qx)*grad[qz][qy][qx][1];
opX[dx][2] += Bt(dx,qx)*grad[qz][qy][qx][2];
}
}
for (int dy = 0; dy < TE_D1D; ++dy)
{
for (int dx = 0; dx < TE_D1D; ++dx)
{
opXY[dy][dx][0] += Bt(dy,qy)*opX[dx][0];
opXY[dy][dx][1] += Bt(dy,qy)*opX[dx][1];
opXY[dy][dx][2] += Bt(dy,qy)*opX[dx][2];
}
}
}
for (int dz = 0; dz < TE_D1D; ++dz)
{
for (int dy = 0; dy < TE_D1D; ++dy)
{
for (int dx = 0; dx < TE_D1D; ++dx)
{
y(dx,dy,dz,0,e) += Bt(dz,qz)*opXY[dy][dx][0];
y(dx,dy,dz,1,e) += Bt(dz,qz)*opXY[dy][dx][1];
y(dx,dy,dz,2,e) += Bt(dz,qz)*opXY[dy][dx][2];
}
}
}
}
// We've now calculated y = u * grad
});
}
// PA Gradient Apply 3D kernel
template<const int T_TR_D1D = 0, const int T_TE_D1D = 0, const int T_Q1D = 0>
static void PAGradientApplyTranspose3D(const int NE,
const Array<real_t> &bt,
const Array<real_t> &gt,
const Array<real_t> &b,
const Vector &op_,
const Vector &x_,
Vector &y_,
int tr_d1d = 0,
int te_d1d = 0,
int q1d = 0)
{
const int TR_D1D = T_TR_D1D ? T_TR_D1D : tr_d1d;
const int TE_D1D = T_TE_D1D ? T_TE_D1D : te_d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
MFEM_VERIFY(TR_D1D <= DeviceDofQuadLimits::Get().MAX_D1D, "");
MFEM_VERIFY(TE_D1D <= DeviceDofQuadLimits::Get().MAX_D1D, "");
MFEM_VERIFY(Q1D <= DeviceDofQuadLimits::Get().MAX_Q1D, "");
auto Bt = Reshape(bt.Read(), TR_D1D, Q1D);
auto Gt = Reshape(gt.Read(), TR_D1D, Q1D);
auto B = Reshape(b.Read(), Q1D, TE_D1D);
auto op = Reshape(op_.Read(), Q1D*Q1D*Q1D, 3,3, NE);
auto x = Reshape(x_.Read(), TE_D1D, TE_D1D, TE_D1D, 3, NE);
auto y = Reshape(y_.ReadWrite(), TR_D1D, TR_D1D, TR_D1D, NE);
mfem::forall(NE, [=] MFEM_HOST_DEVICE (int e)
{
const int TR_D1D = T_TR_D1D ? T_TR_D1D : tr_d1d;
const int TE_D1D = T_TE_D1D ? T_TE_D1D : te_d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
const int VDIM = 3;
// the following variables are evaluated at compile time
constexpr int max_TR_D1D = T_TR_D1D ? T_TR_D1D : DofQuadLimits::MAX_D1D;
constexpr int max_Q1D = T_Q1D ? T_Q1D : DofQuadLimits::MAX_Q1D;
// B: testdof-to-quad
real_t Bxyz[max_Q1D][max_Q1D][max_Q1D][VDIM];
for (int qz = 0; qz < Q1D; ++qz)
{
for (int qy = 0; qy < Q1D; ++qy)
{
for (int qx = 0; qx < Q1D; ++qx)
{
Bxyz[qz][qy][qx][0] = 0.0;
Bxyz[qz][qy][qx][1] = 0.0;
Bxyz[qz][qy][qx][2] = 0.0;
}
}
}
for (int dz = 0; dz < TE_D1D; ++dz)
{
real_t Bxy[max_Q1D][max_Q1D][3];
for (int qy = 0; qy < Q1D; ++qy)
{
for (int qx = 0; qx < Q1D; ++qx)
{
Bxy[qy][qx][0] = 0.0;
Bxy[qy][qx][1] = 0.0;
Bxy[qy][qx][2] = 0.0;
}
}
for (int dy = 0; dy < TE_D1D; ++dy)
{
real_t Bx[max_Q1D][3];
for (int qx = 0; qx < Q1D; ++qx)
{
Bx[qx][0] = 0.0;
Bx[qx][1] = 0.0;
Bx[qx][2] = 0.0;
}
for (int dx = 0; dx < TE_D1D; ++dx)
{
const real_t s0 = x(dx,dy,dz,0,e);
const real_t s1 = x(dx,dy,dz,1,e);
const real_t s2 = x(dx,dy,dz,2,e);
for (int qx = 0; qx < Q1D; ++qx)
{
Bx[qx][0] += s0 * B(qx,dx);
Bx[qx][1] += s1 * B(qx,dx);
Bx[qx][2] += s2 * B(qx,dx);
}
}
for (int qy = 0; qy < Q1D; ++qy)
{
const real_t wy = B(qy,dy);
for (int qx = 0; qx < Q1D; ++qx)
{
Bxy[qy][qx][0] += Bx[qx][0] * wy;
Bxy[qy][qx][1] += Bx[qx][1] * wy;
Bxy[qy][qx][2] += Bx[qx][2] * wy;
}
}
}
for (int qz = 0; qz < Q1D; ++qz)
{
const real_t wz = B(qz,dz);
for (int qy = 0; qy < Q1D; ++qy)
{
for (int qx = 0; qx < Q1D; ++qx)
{
Bxyz[qz][qy][qx][0] += Bxy[qy][qx][0] * wz;
Bxyz[qz][qy][qx][1] += Bxy[qy][qx][1] * wz;
Bxyz[qz][qy][qx][2] += Bxy[qy][qx][2] * wz;
}
}
}
}
// D: quad-to-quad
for (int qz = 0; qz < Q1D; ++qz)
{
for (int qy = 0; qy < Q1D; ++qy)
{
for (int qx = 0; qx < Q1D; ++qx)
{
const int q = qx + (qy + qz * Q1D) * Q1D;
const real_t Bxyz0 = Bxyz[qz][qy][qx][0];
const real_t Bxyz1 = Bxyz[qz][qy][qx][1];
const real_t Bxyz2 = Bxyz[qz][qy][qx][2];
Bxyz[qz][qy][qx][0] = Bxyz0*op(q,0,0,e) + Bxyz1*op(q,0,1,e) + Bxyz2*op(q,0,2,e);
Bxyz[qz][qy][qx][1] = Bxyz0*op(q,1,0,e) + Bxyz1*op(q,1,1,e) + Bxyz2*op(q,1,2,e);
Bxyz[qz][qy][qx][2] = Bxyz0*op(q,2,0,e) + Bxyz1*op(q,2,1,e) + Bxyz2*op(q,2,2,e);
}
}
}
// Bt: quad-to-trialdof
for (int qz = 0; qz < Q1D; ++qz)
{
real_t Btxy[max_TR_D1D][max_TR_D1D][VDIM];
for (int dy = 0; dy < TR_D1D; ++dy)
{
for (int dx = 0; dx < TR_D1D; ++dx)
{
Btxy[dy][dx][0] = 0.0;
Btxy[dy][dx][1] = 0.0;
Btxy[dy][dx][2] = 0.0;
}
}
for (int qy = 0; qy < Q1D; ++qy)
{
real_t Btx[max_TR_D1D][VDIM];
for (int dx = 0; dx < TR_D1D; ++dx)
{
Btx[dx][0] = 0.0;
Btx[dx][1] = 0.0;
Btx[dx][2] = 0.0;
for (int qx = 0; qx < Q1D; ++qx)
{
Btx[dx][0] += Gt(dx,qx)*Bxyz[qz][qy][qx][0];
Btx[dx][1] += Bt(dx,qx)*Bxyz[qz][qy][qx][1];
Btx[dx][2] += Bt(dx,qx)*Bxyz[qz][qy][qx][2];
}
}
for (int dy = 0; dy < TR_D1D; ++dy)
{
const real_t wy = Bt(dy,qy);
const real_t wDy = Gt(dy,qy);
for (int dx = 0; dx < TR_D1D; ++dx)
{
Btxy[dy][dx][0] += wy *Btx[dx][0];
Btxy[dy][dx][1] += wDy*Btx[dx][1];
Btxy[dy][dx][2] += wy *Btx[dx][2];
}
}
}
for (int dz = 0; dz < TR_D1D; ++dz)
{
const real_t wz = Bt(dz,qz);
const real_t wDz = Gt(dz,qz);
for (int dy = 0; dy < TR_D1D; ++dy)
{
for (int dx = 0; dx < TR_D1D; ++dx)
{
y(dx,dy,dz,e) += wz *Btxy[dy][dx][0] +
wz *Btxy[dy][dx][1] +
wDz*Btxy[dy][dx][2];
}
}
}
}
});
}
// Shared memory PA Gradient Apply 3D kernel
template<const int T_TR_D1D = 0, const int T_TE_D1D = 0, const int T_Q1D = 0>
static void SmemPAGradientApply3D(const int NE,
const Array<real_t> &b_,
const Array<real_t> &g_,
const Array<real_t> &bt_,
const Vector &d_,
const Vector &x_,
Vector &y_,
const int tr_d1d = 0,
const int te_d1d = 0,
const int q1d = 0)
{
const int TR_D1D = T_TR_D1D ? T_TR_D1D : tr_d1d;
const int TE_D1D = T_TE_D1D ? T_TE_D1D : te_d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
MFEM_VERIFY(TR_D1D <= DeviceDofQuadLimits::Get().MAX_D1D, "");
MFEM_VERIFY(TE_D1D <= DeviceDofQuadLimits::Get().MAX_D1D, "");
MFEM_VERIFY(TR_D1D <= Q1D, "");
MFEM_VERIFY(TE_D1D <= Q1D, "");
MFEM_VERIFY(Q1D <= DeviceDofQuadLimits::Get().MAX_Q1D, "");
auto b = Reshape(b_.Read(), Q1D, TR_D1D);
auto g = Reshape(g_.Read(), Q1D, TR_D1D);
auto bt = Reshape(bt_.Read(), TE_D1D, Q1D);
auto D = Reshape(d_.Read(), Q1D*Q1D*Q1D, 3, 3, NE);
auto x = Reshape(x_.Read(), TR_D1D, TR_D1D, TR_D1D, NE);
auto y = Reshape(y_.ReadWrite(), TE_D1D, TE_D1D, TE_D1D, 3, NE);
mfem::forall_3D(NE, (Q1D>8)?8:Q1D, (Q1D>8)?8:Q1D, (Q1D>8)?8:Q1D,
[=] MFEM_HOST_DEVICE (int e)
{
const int tidz = MFEM_THREAD_ID(z);
const int D1DR = T_TR_D1D ? T_TR_D1D : tr_d1d;
const int D1DE = T_TE_D1D ? T_TE_D1D : te_d1d;
const int Q1D = T_Q1D ? T_Q1D : q1d;
constexpr int MQ1 = T_Q1D ? T_Q1D : DofQuadLimits::MAX_Q1D;
constexpr int MD1R = T_TR_D1D ? T_TR_D1D : DofQuadLimits::MAX_D1D;
constexpr int MD1E = T_TE_D1D ? T_TE_D1D : DofQuadLimits::MAX_D1D;
constexpr int MD1 = MD1E > MD1R ? MD1E : MD1R;
constexpr int MDQ = MQ1 > MD1 ? MQ1 : MD1;
MFEM_SHARED real_t sBG[2][MQ1*MD1];
real_t (*B)[MD1] = (real_t (*)[MD1]) (sBG+0);
real_t (*G)[MD1] = (real_t (*)[MD1]) (sBG+1);
real_t (*Bt)[MQ1] = (real_t (*)[MQ1]) (sBG+0);
MFEM_SHARED real_t sm0[3][MDQ*MDQ*MDQ];
MFEM_SHARED real_t sm1[3][MDQ*MDQ*MDQ];
real_t (*X)[MD1][MD1] = (real_t (*)[MD1][MD1]) (sm0+2);
real_t (*DDQ0)[MD1][MQ1] = (real_t (*)[MD1][MQ1]) (sm0+0);
real_t (*DDQ1)[MD1][MQ1] = (real_t (*)[MD1][MQ1]) (sm0+1);
real_t (*DQQ0)[MQ1][MQ1] = (real_t (*)[MQ1][MQ1]) (sm1+0);
real_t (*DQQ1)[MQ1][MQ1] = (real_t (*)[MQ1][MQ1]) (sm1+1);
real_t (*DQQ2)[MQ1][MQ1] = (real_t (*)[MQ1][MQ1]) (sm1+2);
real_t (*QQQ0)[MQ1][MQ1] = (real_t (*)[MQ1][MQ1]) (sm0+0);
real_t (*QQQ1)[MQ1][MQ1] = (real_t (*)[MQ1][MQ1]) (sm0+1);
real_t (*QQQ2)[MQ1][MQ1] = (real_t (*)[MQ1][MQ1]) (sm0+2);
real_t (*QQD0)[MQ1][MD1] = (real_t (*)[MQ1][MD1]) (sm1+0);
real_t (*QQD1)[MQ1][MD1] = (real_t (*)[MQ1][MD1]) (sm1+1);
real_t (*QQD2)[MQ1][MD1] = (real_t (*)[MQ1][MD1]) (sm1+2);
real_t (*QDD0)[MD1][MD1] = (real_t (*)[MD1][MD1]) (sm0+0);
real_t (*QDD1)[MD1][MD1] = (real_t (*)[MD1][MD1]) (sm0+1);
real_t (*QDD2)[MD1][MD1] = (real_t (*)[MD1][MD1]) (sm0+2);
MFEM_FOREACH_THREAD(dz,z,D1DR)
{
MFEM_FOREACH_THREAD(dy,y,D1DR)
{
MFEM_FOREACH_THREAD(dx,x,D1DR)
{
X[dz][dy][dx] = x(dx,dy,dz,e);
}
}
}
if (tidz == 0)
{
MFEM_FOREACH_THREAD(d,y,D1DR)
{
MFEM_FOREACH_THREAD(q,x,Q1D)
{
B[q][d] = b(q,d);
G[q][d] = g(q,d);
}
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(dz,z,D1DR)
{
MFEM_FOREACH_THREAD(dy,y,D1DR)
{
MFEM_FOREACH_THREAD(qx,x,Q1D)
{
real_t u = 0.0;
real_t v = 0.0;
for (int dx = 0; dx < D1DR; ++dx)
{
const real_t coord = X[dz][dy][dx];
u += coord * B[qx][dx];
v += coord * G[qx][dx];
}
DDQ0[dz][dy][qx] = u;
DDQ1[dz][dy][qx] = v;
}
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(dz,z,D1DR)
{
MFEM_FOREACH_THREAD(qy,y,Q1D)
{
MFEM_FOREACH_THREAD(qx,x,Q1D)
{
real_t u = 0.0;
real_t v = 0.0;
real_t w = 0.0;
for (int dy = 0; dy < D1DR; ++dy)
{
u += DDQ1[dz][dy][qx] * B[qy][dy];
v += DDQ0[dz][dy][qx] * G[qy][dy];
w += DDQ0[dz][dy][qx] * B[qy][dy];
}
DQQ0[dz][qy][qx] = u;
DQQ1[dz][qy][qx] = v;
DQQ2[dz][qy][qx] = w;
}
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(qz,z,Q1D)
{
MFEM_FOREACH_THREAD(qy,y,Q1D)
{
MFEM_FOREACH_THREAD(qx,x,Q1D)
{
real_t u = 0.0;
real_t v = 0.0;
real_t w = 0.0;
for (int dz = 0; dz < D1DR; ++dz)
{
u += DQQ0[dz][qy][qx] * B[qz][dz];
v += DQQ1[dz][qy][qx] * B[qz][dz];
w += DQQ2[dz][qy][qx] * G[qz][dz];
}
QQQ0[qz][qy][qx] = u;
QQQ1[qz][qy][qx] = v;
QQQ2[qz][qy][qx] = w;
}
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(qz,z,Q1D)
{
MFEM_FOREACH_THREAD(qy,y,Q1D)
{
MFEM_FOREACH_THREAD(qx,x,Q1D)
{
const int q = qx + (qy + qz * Q1D) * Q1D;
const real_t gX = QQQ0[qz][qy][qx];
const real_t gY = QQQ1[qz][qy][qx];
const real_t gZ = QQQ2[qz][qy][qx];
QQQ0[qz][qy][qx] = (D(q,0,0,e)*gX) + (D(q,1,0,e)*gY) + (D(q,2,0,e)*gZ);
QQQ1[qz][qy][qx] = (D(q,0,1,e)*gX) + (D(q,1,1,e)*gY) + (D(q,2,1,e)*gZ);
QQQ2[qz][qy][qx] = (D(q,0,2,e)*gX) + (D(q,1,2,e)*gY) + (D(q,2,2,e)*gZ);
}
}
}
MFEM_SYNC_THREAD;
if (tidz == 0)
{
MFEM_FOREACH_THREAD(d,y,D1DE)
{
MFEM_FOREACH_THREAD(q,x,Q1D)
{
Bt[d][q] = bt(d,q);
}
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(qz,z,Q1D)
{
MFEM_FOREACH_THREAD(qy,y,Q1D)
{
MFEM_FOREACH_THREAD(dx,x,D1DE)
{
real_t u = 0.0;
real_t v = 0.0;
real_t w = 0.0;
for (int qx = 0; qx < Q1D; ++qx)
{
u += QQQ0[qz][qy][qx] * Bt[dx][qx];
v += QQQ1[qz][qy][qx] * Bt[dx][qx];
w += QQQ2[qz][qy][qx] * Bt[dx][qx];
}
QQD0[qz][qy][dx] = u;
QQD1[qz][qy][dx] = v;
QQD2[qz][qy][dx] = w;
}
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(qz,z,Q1D)
{
MFEM_FOREACH_THREAD(dy,y,D1DE)
{
MFEM_FOREACH_THREAD(dx,x,D1DE)
{
real_t u = 0.0;
real_t v = 0.0;
real_t w = 0.0;
for (int qy = 0; qy < Q1D; ++qy)
{
u += QQD0[qz][qy][dx] * Bt[dy][qy];
v += QQD1[qz][qy][dx] * Bt[dy][qy];
w += QQD2[qz][qy][dx] * Bt[dy][qy];
}
QDD0[qz][dy][dx] = u;
QDD1[qz][dy][dx] = v;
QDD2[qz][dy][dx] = w;
}
}
}
MFEM_SYNC_THREAD;
MFEM_FOREACH_THREAD(dz,z,D1DE)
{
MFEM_FOREACH_THREAD(dy,y,D1DE)
{
MFEM_FOREACH_THREAD(dx,x,D1DE)
{
real_t u = 0.0;
real_t v = 0.0;
real_t w = 0.0;
for (int qz = 0; qz < Q1D; ++qz)
{
u += QDD0[qz][dy][dx] * Bt[dz][qz];
v += QDD1[qz][dy][dx] * Bt[dz][qz];
w += QDD2[qz][dy][dx] * Bt[dz][qz];
}
y(dx,dy,dz,0,e) += u;
y(dx,dy,dz,1,e) += v;
y(dx,dy,dz,2,e) += w;
}
}
}
});
}
static void PAGradientApply(const int dim,
const int TR_D1D,
const int TE_D1D,
const int Q1D,
const int NE,
const Array<real_t> &B,
const Array<real_t> &G,
const Array<real_t> &Bt,
const Vector &op,
const Vector &x,
Vector &y)
{
if (dim == 2)
{
return PAGradientApply2D(NE,B,G,Bt,op,x,y,TR_D1D,TE_D1D,Q1D);
}
if (dim == 3)
{
return PAGradientApply3D(NE,B,G,Bt,op,x,y,TR_D1D,TE_D1D,Q1D);
}
MFEM_ABORT("Unknown kernel.");
}
static void PAGradientApplyTranspose(const int dim,
const int TR_D1D,
const int TE_D1D,
const int Q1D,
const int NE,
const Array<real_t> &Bt,
const Array<real_t> &Gt,
const Array<real_t> &B,
const Vector &op,
const Vector &x,
Vector &y)
{
if (dim == 2)
{
return PAGradientApplyTranspose2D(NE,Bt,Gt,B,op,x,y,TR_D1D,TE_D1D,Q1D);
}
if (dim == 3)
{
return PAGradientApplyTranspose3D(NE,Bt,Gt,B,op,x,y,TR_D1D,TE_D1D,Q1D);
}
MFEM_ABORT("Unknown kernel.");
}
// PA Gradient Apply kernel
void GradientIntegrator::AddMultPA(const Vector &x, Vector &y) const
{
PAGradientApply(dim, trial_dofs1D, test_dofs1D, quad1D, ne,
trial_maps->B, trial_maps->G, test_maps->Bt, pa_data,
x, y);
}
// PA Gradient Apply transpose kernel
void GradientIntegrator::AddMultTransposePA(const Vector &x, Vector &y) const
{
PAGradientApplyTranspose(dim, trial_dofs1D, test_dofs1D, quad1D, ne,
trial_maps->Bt, trial_maps->Gt, test_maps->B, pa_data,
x, y);
}
} // namespace mfem