MFEM  v4.6.0
Finite element discretization library
tmop_pa_h2m_c0.cpp
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2 // at the Lawrence Livermore National Laboratory. All Rights reserved. See files
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4 //
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7 //
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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, AddMultGradPA_Kernel_C0_2D,
22  const int NE,
23  const Array<double> &b_,
24  const Vector &h0_,
25  const Vector &r_,
26  Vector &c_,
27  const int d1d,
28  const int q1d)
29 {
30  constexpr int DIM = 2;
31  constexpr int NBZ = 1;
32 
33  const int D1D = T_D1D ? T_D1D : d1d;
34  const int Q1D = T_Q1D ? T_Q1D : q1d;
35 
36  const auto H0 = Reshape(h0_.Read(), DIM, DIM, Q1D, Q1D, NE);
37  const auto b = Reshape(b_.Read(), Q1D, D1D);
38  const auto R = Reshape(r_.Read(), D1D, D1D, DIM, NE);
39 
40  auto Y = Reshape(c_.ReadWrite(), D1D, D1D, DIM, NE);
41 
42  mfem::forall_2D_batch(NE, Q1D, Q1D, NBZ, [=] MFEM_HOST_DEVICE (int e)
43  {
44  constexpr int DIM = 2;
45  const int D1D = T_D1D ? T_D1D : d1d;
46  const int Q1D = T_Q1D ? T_Q1D : q1d;
47  constexpr int NBZ = 1;
48  constexpr int MQ1 = T_Q1D ? T_Q1D : T_MAX;
49  constexpr int MD1 = T_D1D ? T_D1D : T_MAX;
50 
51  MFEM_SHARED double B[MQ1*MD1];
52 
53  MFEM_SHARED double XY[2][NBZ][MD1*MD1];
54  MFEM_SHARED double DQ[2][NBZ][MD1*MQ1];
55  MFEM_SHARED double QQ[2][NBZ][MQ1*MQ1];
56 
57  kernels::internal::LoadX<MD1,NBZ>(e,D1D,R,XY);
58  kernels::internal::LoadB<MD1,MQ1>(D1D,Q1D,b,B);
59 
60  kernels::internal::EvalX<MD1,MQ1,NBZ>(D1D,Q1D,B,XY,DQ);
61  kernels::internal::EvalY<MD1,MQ1,NBZ>(D1D,Q1D,B,DQ,QQ);
62 
63  MFEM_FOREACH_THREAD(qy,y,Q1D)
64  {
65  MFEM_FOREACH_THREAD(qx,x,Q1D)
66  {
67  // Xh = X^T . Sh
68  double Xh[2];
69  kernels::internal::PullEval<MQ1,NBZ>(Q1D,qx,qy,QQ,Xh);
70 
71  double H_data[4];
72  DeviceMatrix H(H_data,2,2);
73  for (int i = 0; i < DIM; i++)
74  {
75  for (int j = 0; j < DIM; j++)
76  {
77  H(i,j) = H0(i,j,qx,qy,e);
78  }
79  }
80 
81  // p2 = H . Xh
82  double p2[2];
83  kernels::Mult(2,2,H_data,Xh,p2);
84  kernels::internal::PushEval<MQ1,NBZ>(Q1D,qx,qy,p2,QQ);
85  }
86  }
87  MFEM_SYNC_THREAD;
88  kernels::internal::LoadBt<MD1,MQ1>(D1D,Q1D,b,B);
89  kernels::internal::EvalXt<MD1,MQ1,NBZ>(D1D,Q1D,B,QQ,DQ);
90  kernels::internal::EvalYt<MD1,MQ1,NBZ>(D1D,Q1D,B,DQ,Y,e);
91  });
92 }
93 
95 {
96  const int N = PA.ne;
97  const int D1D = PA.maps->ndof;
98  const int Q1D = PA.maps->nqpt;
99  const int id = (D1D << 4 ) | Q1D;
100  const Array<double> &B = PA.maps->B;
101  const Vector &H0 = PA.H0;
102 
103  MFEM_LAUNCH_TMOP_KERNEL(AddMultGradPA_Kernel_C0_2D,id,N,B,H0,R,C);
104 }
105 
106 } // namespace mfem
const T * Read(bool on_dev=true) const
Shortcut for mfem::Read(a.GetMemory(), a.Size(), on_dev).
Definition: array.hpp:307
struct mfem::TMOP_Integrator::@23 PA
virtual const double * Read(bool on_dev=true) const
Shortcut for mfem::Read(vec.GetMemory(), vec.Size(), on_dev).
Definition: vector.hpp:453
constexpr int DIM
MFEM_REGISTER_TMOP_KERNELS(void, DatcSize, const int NE, const int ncomp, const int sizeidx, const double input_min_size, const DenseMatrix &w_, const Array< double > &b_, const Vector &x_, const Vector &nc_reduce, DenseTensor &j_, const int d1d, const int q1d)
Definition: tmop_pa_da3.cpp:20
void AddMultGradPA_C0_2D(const Vector &, Vector &) const
double b
Definition: lissajous.cpp:42
void forall_2D_batch(int N, int X, int Y, int BZ, lambda &&body)
Definition: forall.hpp:757
A basic generic Tensor class, appropriate for use on the GPU.
Definition: dtensor.hpp:81
MFEM_HOST_DEVICE void Mult(const int height, const int width, const TA *data, const TX *x, TY *y)
Matrix vector multiplication: y = A x, where the matrix A is of size height x width with given data...
Definition: kernels.hpp:163
virtual double * ReadWrite(bool on_dev=true)
Shortcut for mfem::ReadWrite(vec.GetMemory(), vec.Size(), on_dev).
Definition: vector.hpp:469
Vector data type.
Definition: vector.hpp:58
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