1 // Copyright (c) 2010-2021, 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
MFEM_REGISTER_TMOP_KERNELS(void,SetupGradPA_C0_2D,const double lim_normal,const Vector & lim_dist,const Vector & c0_,const int NE,const DenseTensor & j_,const Array<double> & w_,const Array<double> & bld_,Vector & h0_,const int d1d,const int q1d)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
AssembleGradPA_C0_2D(const Vector & X) const103 void TMOP_Integrator::AssembleGradPA_C0_2D(const Vector &X) const
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
122