cpp-d1064d
[cross.git] / i686-linux-gnu-4.7 / usr / include / c++ / 4.7 / parallel / partial_sum.h
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+// -*- C++ -*-
+
+// Copyright (C) 2007, 2008, 2009, 2010, 2011 Free Software Foundation, Inc.
+//
+// This file is part of the GNU ISO C++ Library.  This library is free
+// software; you can redistribute it and/or modify it under the terms
+// of the GNU General Public License as published by the Free Software
+// Foundation; either version 3, or (at your option) any later
+// version.
+
+// This library is distributed in the hope that it will be useful, but
+// WITHOUT ANY WARRANTY; without even the implied warranty of
+// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
+// General Public License for more details.
+
+// Under Section 7 of GPL version 3, you are granted additional
+// permissions described in the GCC Runtime Library Exception, version
+// 3.1, as published by the Free Software Foundation.
+
+// You should have received a copy of the GNU General Public License and
+// a copy of the GCC Runtime Library Exception along with this program;
+// see the files COPYING3 and COPYING.RUNTIME respectively.  If not, see
+// <http://www.gnu.org/licenses/>.
+
+/** @file parallel/partial_sum.h
+ *  @brief Parallel implementation of std::partial_sum(), i.e. prefix
+*  sums.
+ *  This file is a GNU parallel extension to the Standard C++ Library.
+ */
+
+// Written by Johannes Singler.
+
+#ifndef _GLIBCXX_PARALLEL_PARTIAL_SUM_H
+#define _GLIBCXX_PARALLEL_PARTIAL_SUM_H 1
+
+#include <omp.h>
+#include <new>
+#include <bits/stl_algobase.h>
+#include <parallel/parallel.h>
+#include <parallel/numericfwd.h>
+
+namespace __gnu_parallel
+{
+  // Problem: there is no 0-element given.
+
+  /** @brief Base case prefix sum routine.
+   *  @param __begin Begin iterator of input sequence.
+   *  @param __end End iterator of input sequence.
+   *  @param __result Begin iterator of output sequence.
+   *  @param __bin_op Associative binary function.
+   *  @param __value Start value. Must be passed since the neutral
+   *  element is unknown in general.
+   *  @return End iterator of output sequence. */
+  template<typename _IIter,
+          typename _OutputIterator,
+          typename _BinaryOperation>
+    _OutputIterator
+    __parallel_partial_sum_basecase(_IIter __begin, _IIter __end,
+                                   _OutputIterator __result,
+                                   _BinaryOperation __bin_op,
+      typename std::iterator_traits <_IIter>::value_type __value)
+    {
+      if (__begin == __end)
+       return __result;
+
+      while (__begin != __end)
+       {
+         __value = __bin_op(__value, *__begin);
+         *__result = __value;
+         ++__result;
+         ++__begin;
+       }
+      return __result;
+    }
+
+  /** @brief Parallel partial sum implementation, two-phase approach,
+      no recursion.
+      *  @param __begin Begin iterator of input sequence.
+      *  @param __end End iterator of input sequence.
+      *  @param __result Begin iterator of output sequence.
+      *  @param __bin_op Associative binary function.
+      *  @param __n Length of sequence.
+      *  @return End iterator of output sequence.
+      */
+  template<typename _IIter,
+          typename _OutputIterator,
+          typename _BinaryOperation>
+    _OutputIterator
+    __parallel_partial_sum_linear(_IIter __begin, _IIter __end,
+                                 _OutputIterator __result,
+                                 _BinaryOperation __bin_op,
+      typename std::iterator_traits<_IIter>::difference_type __n)
+    {
+      typedef std::iterator_traits<_IIter> _TraitsType;
+      typedef typename _TraitsType::value_type _ValueType;
+      typedef typename _TraitsType::difference_type _DifferenceType;
+
+      if (__begin == __end)
+       return __result;
+
+      _ThreadIndex __num_threads =
+        std::min<_DifferenceType>(__get_max_threads(), __n - 1);
+
+      if (__num_threads < 2)
+       {
+         *__result = *__begin;
+         return __parallel_partial_sum_basecase(__begin + 1, __end,
+                                                __result + 1, __bin_op,
+                                                *__begin);
+       }
+
+      _DifferenceType* __borders;
+      _ValueType* __sums;
+
+      const _Settings& __s = _Settings::get();
+
+#     pragma omp parallel num_threads(__num_threads)
+      {
+#       pragma omp single
+       {
+         __num_threads = omp_get_num_threads();
+           
+         __borders = new _DifferenceType[__num_threads + 2];
+
+         if (__s.partial_sum_dilation == 1.0f)
+           __equally_split(__n, __num_threads + 1, __borders);
+         else
+           {
+             _DifferenceType __first_part_length =
+                 std::max<_DifferenceType>(1,
+                   __n / (1.0f + __s.partial_sum_dilation * __num_threads));
+             _DifferenceType __chunk_length =
+                 (__n - __first_part_length) / __num_threads;
+             _DifferenceType __borderstart =
+                 __n - __num_threads * __chunk_length;
+             __borders[0] = 0;
+             for (_ThreadIndex __i = 1; __i < (__num_threads + 1); ++__i)
+               {
+                 __borders[__i] = __borderstart;
+                 __borderstart += __chunk_length;
+               }
+             __borders[__num_threads + 1] = __n;
+           }
+
+         __sums = static_cast<_ValueType*>(::operator new(sizeof(_ValueType)
+                                                           * __num_threads));
+         _OutputIterator __target_end;
+       } //single
+
+        _ThreadIndex __iam = omp_get_thread_num();
+        if (__iam == 0)
+          {
+            *__result = *__begin;
+            __parallel_partial_sum_basecase(__begin + 1,
+                                           __begin + __borders[1],
+                                           __result + 1,
+                                           __bin_op, *__begin);
+            ::new(&(__sums[__iam])) _ValueType(*(__result + __borders[1] - 1));
+          }
+        else
+          {
+            ::new(&(__sums[__iam]))
+              _ValueType(__gnu_parallel::accumulate(
+                                         __begin + __borders[__iam] + 1,
+                                         __begin + __borders[__iam + 1],
+                                         *(__begin + __borders[__iam]),
+                                         __bin_op,
+                                         __gnu_parallel::sequential_tag()));
+          }
+
+#       pragma omp barrier
+
+#       pragma omp single
+       __parallel_partial_sum_basecase(__sums + 1, __sums + __num_threads,
+                                       __sums + 1, __bin_op, __sums[0]);
+
+#       pragma omp barrier
+
+       // Still same team.
+        __parallel_partial_sum_basecase(__begin + __borders[__iam + 1],
+                                       __begin + __borders[__iam + 2],
+                                       __result + __borders[__iam + 1],
+                                       __bin_op, __sums[__iam]);
+      } //parallel
+
+      for (_ThreadIndex __i = 0; __i < __num_threads; ++__i)
+       __sums[__i].~_ValueType();
+      ::operator delete(__sums);
+
+      delete[] __borders;
+
+      return __result + __n;
+    }
+
+  /** @brief Parallel partial sum front-__end.
+   *  @param __begin Begin iterator of input sequence.
+   *  @param __end End iterator of input sequence.
+   *  @param __result Begin iterator of output sequence.
+   *  @param __bin_op Associative binary function.
+   *  @return End iterator of output sequence. */
+  template<typename _IIter,
+          typename _OutputIterator,
+          typename _BinaryOperation>
+    _OutputIterator
+    __parallel_partial_sum(_IIter __begin, _IIter __end,
+                          _OutputIterator __result, _BinaryOperation __bin_op)
+    {
+      _GLIBCXX_CALL(__begin - __end)
+
+      typedef std::iterator_traits<_IIter> _TraitsType;
+      typedef typename _TraitsType::value_type _ValueType;
+      typedef typename _TraitsType::difference_type _DifferenceType;
+
+      _DifferenceType __n = __end - __begin;
+
+      switch (_Settings::get().partial_sum_algorithm)
+       {
+       case LINEAR:
+         // Need an initial offset.
+         return __parallel_partial_sum_linear(__begin, __end, __result,
+                                              __bin_op, __n);
+       default:
+         // Partial_sum algorithm not implemented.
+         _GLIBCXX_PARALLEL_ASSERT(0);
+         return __result + __n;
+       }
+    }
+}
+
+#endif /* _GLIBCXX_PARALLEL_PARTIAL_SUM_H */