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mat_vec_hierarchical.cpp
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29 
30 #define SACADO_VIEW_CUDA_HIERARCHICAL 1
31 #define SACADO_ALIGN_SFAD 1
32 
33 #include "Sacado.hpp"
34 
35 #include "mat_vec_hierarchical.hpp"
36 
37 #include "impl/Kokkos_Timer.hpp"
38 
39 template <typename ViewTypeA, typename ViewTypeB, typename ViewTypeC>
40 void run_mat_vec_hierarchical(const ViewTypeA& A, const ViewTypeB& b,
41  const ViewTypeC& c) {
42  typedef typename Kokkos::ThreadLocalScalarType<ViewTypeC>::type scalar_type;
43  typedef typename ViewTypeC::execution_space execution_space;
44 
45 #if defined (KOKKOS_ENABLE_CUDA)
46  const bool is_cuda = std::is_same<execution_space, Kokkos::Cuda>::value;
47 #else
48  const bool is_cuda = false;
49 #endif
50  const unsigned vector_size = is_cuda ? 32 : 1;
51  const unsigned team_size = is_cuda ? 128 / vector_size : 1;
52 
53  const int m = A.extent(0);
54  const int n = A.extent(1);
55  const int range = (m+team_size-1)/team_size;
56 
57  typedef Kokkos::TeamPolicy<execution_space> Policy;
58  Kokkos::parallel_for(
59  Policy( range,team_size,vector_size ),
60  KOKKOS_LAMBDA (const typename Policy::member_type& team) {
61  const int i = team.league_rank()*team.team_size() + team.team_rank();
62  if (i >= m)
63  return;
64 
65  scalar_type t = 0.0;
66  for (int j=0; j<n; ++j)
67  t += A(i,j)*b(j);
68  c(i) = t;
69  }
70  );
71 }
72 
73 template <typename ViewTypeA, typename ViewTypeB, typename ViewTypeC>
74 void
75 check_deriv_hierarchical(const ViewTypeA& A, const ViewTypeB& b, const ViewTypeC& c)
76 {
77  const double tol = 1.0e-14;
78  typedef typename ViewTypeC::value_type value_type;
79  typename ViewTypeC::HostMirror h_c = Kokkos::create_mirror_view(c);
80  Kokkos::deep_copy(h_c, c);
81  const size_t m = A.extent(0);
82  const size_t n = A.extent(1);
83  const size_t p = Kokkos::dimension_scalar(A);
84  for (size_t i=0; i<m; ++i) {
85  for (size_t j=0; j<p; ++j) {
86  value_type t = (j == p-1 ? n : 2*n);
87  if (std::abs(h_c(i).fastAccessDx(j)- t) > tol) {
88  std::cout << "Comparison failed! " << i << "," << j << " : "
89  << h_c(i).fastAccessDx(j) << " , " << t << std::endl;
90  }
91  }
92  }
93 }
94 
95 template <typename FadType, typename ... ViewArgs>
96 Perf
97 do_time_fad_hierarchical(const size_t m, const size_t n, const size_t p,
98  const size_t nloop, const bool check)
99 {
100  typedef Kokkos::View<FadType**, ViewArgs...> ViewTypeA;
101  typedef Kokkos::View<FadType*, ViewArgs...> ViewTypeB;
102  typedef Kokkos::View<FadType*, ViewArgs...> ViewTypeC;
103  typedef typename ViewTypeA::execution_space execution_space;
104 
105 #if defined (KOKKOS_ENABLE_CUDA)
106  const bool is_cuda = std::is_same<execution_space, Kokkos::Cuda>::value;
107 #else
108  const bool is_cuda = false;
109 #endif
110 
111  const int FadStride = is_cuda ? 32 : 1;
112 #if defined(SACADO_ALIGN_SFAD)
114  const int Nalign = ((N+FadStride-1)/FadStride)*FadStride;
115  const size_t pa = N > 0 ? ((p+FadStride-1)/FadStride)*FadStride : p;
116  typedef typename FadType::template apply_N<Nalign>::type AlignedFadType;
117 #else
118  typedef FadType AlignedFadType;
119  const size_t pa = p;
120 #endif
121 
125 
126  typedef Kokkos::View<AlignedFadType**, ConLayoutA, execution_space> ConViewTypeA;
127  typedef Kokkos::View<AlignedFadType*, ConLayoutB, execution_space> ConViewTypeB;
128  typedef Kokkos::View<AlignedFadType*, ConLayoutC, execution_space> ConViewTypeC;
129 
130  ConViewTypeA A("A",m,n,pa+1);
131  ConViewTypeB b("B",n,pa+1);
132  ConViewTypeC c("c",m,pa+1);
133 
134  // AlignedFadType a(pa, 1.0);
135  // for (size_t k=0; k<pa; ++k)
136  // a.fastAccessDx(k) = 1.0;
137  Kokkos::deep_copy(typename ConViewTypeA::array_type(A), 1.0);
138  Kokkos::deep_copy(typename ConViewTypeB::array_type(b), 1.0);
139 
140  Kokkos::Impl::Timer wall_clock;
141  Perf perf;
142 
143  // Execute the kernel once to warm up
144  run_mat_vec_hierarchical( A, b, c );
145  execution_space().fence();
146 
147  wall_clock.reset();
148  for (size_t l=0; l<nloop; l++) {
149  run_mat_vec_hierarchical( A, b, c );
150  }
151  execution_space().fence();
152 
153  perf.time = wall_clock.seconds() / nloop;
154  perf.flops = m*n*(2+4*p);
155  perf.throughput = perf.flops / perf.time / 1.0e9;
156 
157  if (check) {
158  check_deriv_hierarchical(A, b, c);
159  }
160 
161  return perf;
162 }
163 
166 
167 #define INST_FUNC_FAD_DEV(FAD,DEV) \
168  template Perf do_time_fad_hierarchical< FAD, Kokkos::LayoutLeft, DEV > ( const size_t m, const size_t n, const size_t p, const size_t nloop, const bool check ); \
169  template Perf do_time_fad_hierarchical< FAD, Kokkos::LayoutRight, DEV > ( const size_t m, const size_t n, const size_t p, const size_t nloop, const bool check ); \
170  template Perf do_time_fad_hierarchical< FAD, DEV > ( const size_t m, const size_t n, const size_t p, const size_t nloop, const bool check );
171 
172 #define INST_FUNC_DEV(DEV) \
173  INST_FUNC_FAD_DEV( SFad_type, DEV ) \
174  INST_FUNC_FAD_DEV( SLFad_type, DEV )
175 
176 #ifdef KOKKOS_ENABLE_SERIAL
177 INST_FUNC_DEV(Kokkos::Serial)
178 #endif
179 
180 #ifdef KOKKOS_ENABLE_OPENMP
181 INST_FUNC_DEV(Kokkos::OpenMP)
182 #endif
183 
184 #ifdef KOKKOS_ENABLE_THREADS
185 INST_FUNC_DEV(Kokkos::Threads)
186 #endif
187 
188 #ifdef KOKKOS_ENABLE_CUDA
189 INST_FUNC_DEV(Kokkos::Cuda)
190 #endif
abs(expr.val())
double flops
std::enable_if< !Kokkos::is_view_fad< View2 >::value, bool >::type check(const View1 &v_gold, const View2 &v, const double tol)
void run_mat_vec_hierarchical(const ViewTypeA &A, const ViewTypeB &b, const ViewTypeC &c)
double time
void check_deriv_hierarchical(const ViewTypeA &A, const ViewTypeB &b, const ViewTypeC &c)
Sacado::Fad::DFad< double > FadType
Base template specification for static size.
#define INST_FUNC_DEV(DEV)
expr expr1 expr1 expr1 c expr2 expr1 expr2 expr1 expr2 expr1 expr1 expr1 expr1 c expr2 expr1 expr2 expr1 expr2 expr1 expr1 expr1 expr1 c *expr2 expr1 expr2 expr1 expr2 expr1 expr1 expr1 expr1 c expr2 expr1 expr2 expr1 expr2 expr1 expr1 expr1 expr2 expr1 expr2 expr1 expr1 expr1 expr2 expr1 expr2 expr1 expr1 expr1 c
#define A
Definition: Sacado_rad.hpp:572
Sacado::Fad::SFad< double, SFadSize > SFad_type
Definition: mat_vec.cpp:514
Perf do_time_fad_hierarchical(const size_t m, const size_t n, const size_t p, const size_t nloop, const bool check)
const int N
double throughput
expr expr expr fastAccessDx(i)) FAD_UNARYOP_MACRO(exp
const double tol
Sacado::Fad::SLFad< double, SLFadSize > SLFad_type
Definition: mat_vec.cpp:515
int n