MFEM v4.7.0
Finite element discretization library
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tmop_pa_h2m_c0.cpp
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1// Copyright (c) 2010-2024, 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"
17
18namespace mfem
19{
20
21MFEM_REGISTER_TMOP_KERNELS(void, AddMultGradPA_Kernel_C0_2D,
22 const int NE,
23 const Array<real_t> &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 real_t B[MQ1*MD1];
52
53 MFEM_SHARED real_t XY[2][NBZ][MD1*MD1];
54 MFEM_SHARED real_t DQ[2][NBZ][MD1*MQ1];
55 MFEM_SHARED real_t 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 real_t Xh[2];
69 kernels::internal::PullEval<MQ1,NBZ>(Q1D,qx,qy,QQ,Xh);
70
71 real_t 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 real_t 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<real_t> &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:317
A basic generic Tensor class, appropriate for use on the GPU.
Definition dtensor.hpp:82
struct mfem::TMOP_Integrator::@23 PA
void AddMultGradPA_C0_2D(const Vector &, Vector &) const
Vector data type.
Definition vector.hpp:80
virtual const real_t * Read(bool on_dev=true) const
Shortcut for mfem::Read(vec.GetMemory(), vec.Size(), on_dev).
Definition vector.hpp:474
virtual real_t * ReadWrite(bool on_dev=true)
Shortcut for mfem::ReadWrite(vec.GetMemory(), vec.Size(), on_dev).
Definition vector.hpp:490
real_t b
Definition lissajous.cpp:42
constexpr int DIM
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
MFEM_REGISTER_TMOP_KERNELS(void, DatcSize, const int NE, const int ncomp, const int sizeidx, const real_t input_min_size, const DenseMatrix &w_, const Array< real_t > &b_, const Vector &x_, const Vector &nc_reduce, DenseTensor &j_, const int d1d, const int q1d)
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
void forall_2D_batch(int N, int X, int Y, int BZ, lambda &&body)
Definition forall.hpp:769
float real_t
Definition config.hpp:43