MFEM  v4.5.1
Finite element discretization library
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tmop_pa_h2s_c0.cpp
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1 // Copyright (c) 2010-2022, Lawrence Livermore National Security, LLC. Produced
2 // at the Lawrence Livermore National Laboratory. All Rights reserved. See files
3 // LICENSE and NOTICE for details. LLNL-CODE-806117.
4 //
5 // This file is part of the MFEM library. For more information and source code
6 // availability visit https://mfem.org.
7 //
8 // MFEM is free software; you can redistribute it and/or modify it under the
9 // terms of the BSD-3 license. We welcome feedback and contributions, see file
10 // CONTRIBUTING.md for details.
11 
12 #include "../tmop.hpp"
13 #include "tmop_pa.hpp"
14 #include "../linearform.hpp"
15 #include "../../general/forall.hpp"
16 #include "../../linalg/kernels.hpp"
17 
18 namespace mfem
19 {
20 
21 MFEM_REGISTER_TMOP_KERNELS(void, SetupGradPA_C0_2D,
22  const double lim_normal,
23  const Vector &lim_dist,
24  const Vector &c0_,
25  const int NE,
26  const DenseTensor &j_,
27  const Array<double> &w_,
28  const Array<double> &bld_,
29  Vector &h0_,
30  const int d1d,
31  const int q1d)
32 {
33  constexpr int DIM = 2;
34  constexpr int NBZ = 1;
35  const int D1D = T_D1D ? T_D1D : d1d;
36  const int Q1D = T_Q1D ? T_Q1D : q1d;
37 
38  const bool const_c0 = c0_.Size() == 1;
39  const auto C0 = const_c0 ?
40  Reshape(c0_.Read(), 1, 1, 1) :
41  Reshape(c0_.Read(), Q1D, Q1D, NE);
42  const auto LD = Reshape(lim_dist.Read(), D1D, D1D, NE);
43  const auto J = Reshape(j_.Read(), DIM, DIM, Q1D, Q1D, NE);
44  const auto W = Reshape(w_.Read(), Q1D, Q1D);
45  const auto bld = Reshape(bld_.Read(), Q1D, D1D);
46 
47  auto H0 = Reshape(h0_.Write(), DIM, DIM, Q1D, Q1D, NE);
48 
49  MFEM_FORALL_2D(e, NE, Q1D, Q1D, NBZ,
50  {
51  const int D1D = T_D1D ? T_D1D : d1d;
52  const int Q1D = T_Q1D ? T_Q1D : q1d;
53  constexpr int NBZ = 1;
54  constexpr int MQ1 = T_Q1D ? T_Q1D : T_MAX;
55  constexpr int MD1 = T_D1D ? T_D1D : T_MAX;
56 
57  MFEM_SHARED double BLD[MQ1*MD1];
58 
59  MFEM_SHARED double XY[NBZ][MD1*MD1];
60  MFEM_SHARED double DQ[NBZ][MD1*MQ1];
61  MFEM_SHARED double QQ[NBZ][MQ1*MQ1];
62 
63  kernels::internal::LoadX<MD1,NBZ>(e,D1D,LD,XY);
64 
65  kernels::internal::LoadB<MD1,MQ1>(D1D,Q1D,bld,BLD);
66 
67  kernels::internal::EvalX<MD1,MQ1,NBZ>(D1D,Q1D,BLD,XY,DQ);
68  kernels::internal::EvalY<MD1,MQ1,NBZ>(D1D,Q1D,BLD,DQ,QQ);
69 
70  MFEM_FOREACH_THREAD(qy,y,Q1D)
71  {
72  MFEM_FOREACH_THREAD(qx,x,Q1D)
73  {
74  const double *Jtr = &J(0,0,qx,qy,e);
75  const double detJtr = kernels::Det<2>(Jtr);
76  const double weight = W(qx,qy) * detJtr;
77  const double coeff0 = const_c0 ? C0(0,0,0) : C0(qx,qy,e);
78  const double weight_m = weight * lim_normal * coeff0;
79 
80  double D;
81  kernels::internal::PullEval<MQ1,NBZ>(Q1D,qx,qy,QQ,D);
82  const double dist = D; // GetValues, default comp set to 0
83 
84  // lim_func->Eval_d2(p1, p0, d_vals(q), grad_grad);
85  // d2.Diag(1.0 / (dist * dist), x.Size());
86  const double c = 1.0 / (dist * dist);
87  double grad_grad[4];
88  kernels::Diag<2>(c, grad_grad);
89  ConstDeviceMatrix gg(grad_grad,DIM,DIM);
90 
91  for (int i = 0; i < DIM; i++)
92  {
93  for (int j = 0; j < DIM; j++)
94  {
95  H0(i,j,qx,qy,e) = weight_m * gg(i,j);
96  }
97  }
98  }
99  }
100  });
101 }
102 
104 {
105  MFEM_CONTRACT_VAR(X);
106  const int N = PA.ne;
107  const int D1D = PA.maps_lim->ndof;
108  const int Q1D = PA.maps_lim->nqpt;
109  const int id = (D1D << 4 ) | Q1D;
110  const double ln = lim_normal;
111  const Vector &LD = PA.LD;
112  const DenseTensor &J = PA.Jtr;
113  const Array<double> &W = PA.ir->GetWeights();
114  const Array<double> &BLD = PA.maps_lim->B;
115  const Vector &C0 = PA.C0;
116  Vector &H0 = PA.H0;
117 
118  MFEM_LAUNCH_TMOP_KERNEL(SetupGradPA_C0_2D,id,ln,LD,C0,N,J,W,BLD,H0);
119 }
120 
121 } // namespace mfem
struct mfem::TMOP_Integrator::@23 PA
const double * Read(bool on_dev=true) const
Shortcut for mfem::Read( GetMemory(), TotalSize(), on_dev).
Definition: densemat.hpp:1087
int Size() const
Returns the size of the vector.
Definition: vector.hpp:200
constexpr int DIM
virtual double * Write(bool on_dev=true)
Shortcut for mfem::Write(vec.GetMemory(), vec.Size(), on_dev).
Definition: vector.hpp:457
MFEM_REGISTER_TMOP_KERNELS(void, DatcSize, const int NE, const int ncomp, const int sizeidx, const DenseMatrix &w_, const Array< double > &b_, const Vector &x_, DenseTensor &j_, const int d1d, const int q1d)
Definition: tmop_pa_da3.cpp:20
const T * Read(bool on_dev=true) const
Shortcut for mfem::Read(a.GetMemory(), a.Size(), on_dev).
Definition: array.hpp:304
A basic generic Tensor class, appropriate for use on the GPU.
Definition: dtensor.hpp:81
void AssembleGradPA_C0_2D(const Vector &) const
Vector data type.
Definition: vector.hpp:60
Rank 3 tensor (array of matrices)
Definition: densemat.hpp:953
virtual const double * Read(bool on_dev=true) const
Shortcut for mfem::Read(vec.GetMemory(), vec.Size(), on_dev).
Definition: vector.hpp:449
MFEM_HOST_DEVICE DeviceTensor< sizeof...(Dims), T > Reshape(T *ptr, Dims...dims)
Wrap a pointer as a DeviceTensor with automatically deduced template parameters.
Definition: dtensor.hpp:131