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1 /*
2 [auto_generated]
3 boost/numeric/odeint/external/openmp/openmp_state.hpp
4
5 [begin_description]
6 Wrappers for OpenMP.
7 [end_description]
8
9 Copyright 2013 Karsten Ahnert
10 Copyright 2013 Mario Mulansky
11 Copyright 2013 Pascal Germroth
12
13 Distributed under the Boost Software License, Version 1.0.
14 (See accompanying file LICENSE_1_0.txt or
15 copy at http://www.boost.org/LICENSE_1_0.txt)
16 */
17
18
19 #ifndef BOOST_NUMERIC_ODEINT_EXTERNAL_OPENMP_OPENMP_STATE_HPP_INCLUDED
20 #define BOOST_NUMERIC_ODEINT_EXTERNAL_OPENMP_OPENMP_STATE_HPP_INCLUDED
21
22 #include <omp.h>
23 #include <vector>
24 #include <algorithm>
25 #include <boost/range/adaptor/sliced.hpp>
26 #include <boost/numeric/odeint/util/copy.hpp>
27 #include <boost/numeric/odeint/util/split.hpp>
28 #include <boost/numeric/odeint/util/resize.hpp>
29 #include <boost/numeric/odeint/external/openmp/openmp_nested_algebra.hpp>
30
31 namespace boost {
32 namespace numeric {
33 namespace odeint {
34
35 /** \brief A container that is split into distinct parts, for threading.
36 * Just a wrapper for vector<vector<T>>, use `copy` for splitting/joining.
37 */
38 template< class T >
39 struct openmp_state : public std::vector< std::vector< T > >
40 {
41 openmp_state() {}
42
43 openmp_state(size_t n, const std::vector<T>& val = std::vector<T>())
44 : std::vector< std::vector< T > >(n, val) {}
45
46 template<class InputIterator>
47 openmp_state(InputIterator first, InputIterator last)
48 : std::vector< std::vector< T > >(first, last) {}
49
50 openmp_state(const std::vector< std::vector< T > > &orig)
51 : std::vector< std::vector< T > >(orig) {}
52
53 };
54
55
56
57
58 template< class T >
59 struct is_resizeable< openmp_state< T > > : boost::true_type { };
60
61
62 template< class T >
63 struct same_size_impl< openmp_state< T > , openmp_state< T > >
64 {
65 static bool same_size( const openmp_state< T > &x , const openmp_state< T > &y )
66 {
67 if( x.size() != y.size() ) return false;
68 for( size_t i = 0 ; i != x.size() ; i++ )
69 if( x[i].size() != y[i].size() ) return false;
70 return true;
71 }
72 };
73
74
75 template< class T >
76 struct resize_impl< openmp_state< T > , openmp_state< T > >
77 {
78 static void resize( openmp_state< T > &x , const openmp_state< T > &y )
79 {
80 x.resize( y.size() );
81 # pragma omp parallel for schedule(dynamic)
82 for(size_t i = 0 ; i < x.size() ; i++)
83 x[i].resize( y[i].size() );
84 }
85 };
86
87
88 /** \brief Copy data between openmp_states of same size. */
89 template< class T >
90 struct copy_impl< openmp_state< T >, openmp_state< T > >
91 {
92 static void copy( const openmp_state< T > &from, openmp_state< T > &to )
93 {
94 # pragma omp parallel for schedule(dynamic)
95 for(size_t i = 0 ; i < from.size() ; i++)
96 std::copy( from[i].begin() , from[i].end() , to.begin() );
97 }
98 };
99
100
101
102 /** \brief Copy data from some container to an openmp_state and resize it.
103 * Target container size will determine number of blocks to split into.
104 * If it is empty, it will be resized to the maximum number of OpenMP threads.
105 * SourceContainer must support `s::value_type`, `s::const_iterator`, `s.begin()`, `s.end()` and `s.size()`,
106 * with Random Access Iterators; i.e. it must be a Random Access Container. */
107 template< class SourceContainer >
108 struct split_impl< SourceContainer, openmp_state< typename SourceContainer::value_type > >
109 {
110 static void split( const SourceContainer &from, openmp_state< typename SourceContainer::value_type > &to )
111 {
112 if(to.size() == 0) to.resize( omp_get_max_threads() );
113 const size_t part = from.size() / to.size();
114 # pragma omp parallel for schedule(dynamic)
115 for(size_t i = 0 ; i < to.size() ; i++) {
116 typedef typename SourceContainer::const_iterator it_t;
117 const it_t begin = from.begin() + i * part;
118 it_t end = begin + part;
119 // for cases where from.size() % to.size() > 0
120 if(i + 1 == to.size() || end > from.end()) end = from.end();
121 to[i].resize(end - begin);
122 std::copy(begin, end, to[i].begin());
123 }
124 }
125 };
126
127 /** \brief Copy data from an openmp_state to some container and resize it.
128 * TargetContainer must support `s::value_type`, `s::iterator`, `s.begin()` and `s.resize(n)`,
129 * i.e. it must be a `std::vector`. */
130 template< class TargetContainer >
131 struct unsplit_impl< openmp_state< typename TargetContainer::value_type >, TargetContainer >
132 {
133 static void unsplit( const openmp_state< typename TargetContainer::value_type > &from , TargetContainer &to )
134 {
135 // resize target
136 size_t total_size = 0;
137 for(size_t i = 0 ; i < from.size() ; i++)
138 total_size += from[i].size();
139 to.resize( total_size );
140 // copy parts
141 typename TargetContainer::iterator out = to.begin();
142 for(size_t i = 0 ; i < from.size() ; i++)
143 out = std::copy(from[i].begin(), from[i].end(), out);
144 }
145 };
146
147
148
149
150 /** \brief OpenMP-parallelized algebra.
151 * For use with openmp_state.
152 */
153 typedef openmp_nested_algebra< range_algebra > openmp_algebra;
154
155
156
157 /** \brief Use `openmp_algebra` for `openmp_state`. */
158 template< class T >
159 struct algebra_dispatcher< openmp_state< T > >
160 {
161 typedef openmp_algebra algebra_type;
162 };
163
164
165 }
166 }
167 }
168
169
170 #endif
171