1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
|
// @HEADER
// ************************************************************************
//
// Intrepid2 Package
// Copyright (2007) Sandia Corporation
//
// Under terms of Contract DE-AC04-94AL85000, there is a non-exclusive
// license for use of this work by or on behalf of the U.S. Government.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. Redistributions in binary form must reproduce the above copyright
// notice, this list of conditions and the following disclaimer in the
// documentation and/or other materials provided with the distribution.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "AS IS" AND ANY
// EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
// PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL SANDIA CORPORATION OR THE
// CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
// EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
// PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
// PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
// LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
// NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
// SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
//
// Questions? Contact Kyungjoo Kim (kyukim@sandia.gov), or
// Mauro Perego (mperego@sandia.gov)
//
// ************************************************************************
// @HEADER
/** \file test_functors.cpp
\brief Performance test comparing dynrankview overhead
\author Created by Kyungjoo Kim.
*/
namespace Intrepid2 {
namespace Test {
template<typename VectorType,
typename ValueType,
typename DeviceSpaceType>
struct F_hgrad_eval {
typedef Kokkos::DynRankView<VectorType,DeviceSpaceType> VectorViewType;
typedef Kokkos::DynRankView<ValueType,DeviceSpaceType> ViewType;
typedef typename ViewType::const_type constViewType;
typedef VectorType vector_type;
typedef ValueType value_type;
/**/ VectorViewType _weighted_basis_values;
/**/ VectorViewType _weighted_basis_grads;
const ViewType _grads;
const VectorViewType _workset;
const ViewType _weights;
const ViewType _basis_values;
const ViewType _basis_grads;
KOKKOS_INLINE_FUNCTION
F_hgrad_eval(/**/ VectorViewType weighted_basis_values_,
/**/ VectorViewType weighted_basis_grads_,
const ViewType grads_, // gradient for jacobian
const VectorViewType workset_, // workset input
const ViewType weights_, // weights
const ViewType basis_values_, // reference values
const ViewType basis_grads_) // reference grads
: _weighted_basis_values(weighted_basis_values_),
_weighted_basis_grads(weighted_basis_grads_),
_grads(grads_),
_workset(workset_),
_weights(weights_),
_basis_values(basis_values_),
_basis_grads(basis_grads_) {}
KOKKOS_INLINE_FUNCTION
void apply(const ordinal_type cl,
const ordinal_type pt) const {
vector_type buf[9 + 9];
const auto grad = Kokkos::subview(_grads, Kokkos::ALL(), pt, Kokkos::ALL());
const auto dofs = Kokkos::subview(_workset, cl, Kokkos::ALL(), Kokkos::ALL());
const ordinal_type card = dofs.extent(0);
const ordinal_type dim = dofs.extent(1);
// temporary values
Kokkos::View<vector_type**, Kokkos::Impl::ActiveExecutionMemorySpace>
jac (&buf[0], dim, dim),
jac_inv(&buf[9], dim, dim);
// setJacobian F_setJacobian::apply(jac, dofs, grads);
{
for (ordinal_type i=0;i<dim;++i)
for (ordinal_type j=0;j<dim;++j) {
jac(i, j) = 0;
for (ordinal_type bf=0;bf<card;++bf)
jac(i, j) += dofs(bf, i)*grad(bf, j);
}
}
// setJacobianDet F_setJacobianDet::apply(det, jac);
// setJacobianInv F_setJacobianInv::apply(jac_inv, jac);
vector_type det = 0;
if (dim == 2) {
det = ( jac(0,0) * jac(1,1) -
jac(0,1) * jac(1,0) );
} else {
det = ( jac(0,0) * jac(1,1) * jac(2,2) +
jac(1,0) * jac(2,1) * jac(0,2) +
jac(2,0) * jac(0,1) * jac(1,2) -
jac(2,0) * jac(1,1) * jac(0,2) -
jac(0,0) * jac(2,1) * jac(1,2) -
jac(1,0) * jac(0,1) * jac(2,2) );
}
if (dim == 2) {
const vector_type val = det;
jac_inv(0,0) = jac(1,1)/val;
jac_inv(1,1) = jac(0,0)/val;
jac_inv(1,0) = -1.0* jac(1,0)/val;
jac_inv(0,1) = -1.0* jac(0,1)/val;
} else {
const vector_type val = det;
vector_type val0, val1, val2;
val0 = jac(1,1)*jac(2,2) - jac(2,1)*jac(1,2);
val1 = jac(2,0)*jac(1,2) - jac(1,0)*jac(2,2);
val2 = jac(1,0)*jac(2,1) - jac(2,0)*jac(1,1);
jac_inv(0,0) = val0/val;
jac_inv(1,0) = val1/val;
jac_inv(2,0) = val2/val;
val0 = jac(2,1)*jac(0,2) - jac(0,1)*jac(2,2);
val1 = jac(0,0)*jac(2,2) - jac(2,0)*jac(0,2);
val2 = jac(2,0)*jac(0,1) - jac(0,0)*jac(2,1);
jac_inv(0,1) = val0/val;
jac_inv(1,1) = val1/val;
jac_inv(2,1) = val2/val;
val0 = jac(0,1)*jac(1,2) - jac(1,1)*jac(0,2);
val1 = jac(1,0)*jac(0,2) - jac(0,0)*jac(1,2);
val2 = jac(0,0)*jac(1,1) - jac(1,0)*jac(0,1);
jac_inv(0,2) = val0/val;
jac_inv(1,2) = val1/val;
jac_inv(2,2) = val2/val;
}
// computeCellMeasure
const vector_type cell_measure = det*_weights(pt);
// multiplyMeasure
for (ordinal_type bf=0;bf<card;++bf)
_weighted_basis_values(cl, bf, pt) = cell_measure*_basis_values(bf, pt);
// HGRADtransformGRAD
auto weighted_grad = Kokkos::subview(_weighted_basis_grads, cl, Kokkos::ALL(), pt, Kokkos::ALL());
const auto basis_grad = Kokkos::subview(_basis_grads, Kokkos::ALL(), pt, Kokkos::ALL());
{
const ordinal_type card = basis_grad.extent(0);
const ordinal_type dim = basis_grad.extent(1);
for (ordinal_type bf=0;bf<card;++bf)
for (ordinal_type i=0;i<dim;++i) {
weighted_grad(bf, i) = 0;
for (ordinal_type j=0;j<dim;++j)
weighted_grad(bf, i) += jac_inv(i,j)*basis_grad(bf, j);
weighted_grad(bf, i) *= cell_measure;
}
}
}
KOKKOS_INLINE_FUNCTION
void operator()(const ordinal_type cl,
const ordinal_type pt) const {
apply(cl, pt);
}
KOKKOS_INLINE_FUNCTION
void operator()(const ordinal_type cl) const {
const ordinal_type npts = _basis_values.extent(1);
for (ordinal_type pt=0;pt<npts;++pt)
apply(cl, pt);
}
};
} // end of namespace TEST
} // end of namespace Intrepid2
|
