68 _Op __o, _Fu& __f, _Red __r,
76 _DifferenceType __length = __end - __begin;
78 (__get_max_threads(), __length);
80 _Result *__thread_results;
82# pragma omp parallel num_threads(__num_threads)
86 __num_threads = omp_get_num_threads();
87 __thread_results =
new _Result[__num_threads];
90 __thread_results[__i] = _Result();
95#pragma omp for schedule(dynamic, _Settings::get().workstealing_chunk_size)
96 for (_DifferenceType __pos = 0; __pos < __length; ++__pos)
97 __thread_results[__iam] = __r(__thread_results[__iam],
98 __f(__o, __begin+__pos));
102 __output = __r(__output, __thread_results[__i]);
104 delete [] __thread_results;
108 __f._M_finish_iterator = __begin + __length;
_Op __for_each_template_random_access_omp_loop(_RAIter __begin, _RAIter __end, _Op __o, _Fu &__f, _Red __r, _Result __base, _Result &__output, typename std::iterator_traits< _RAIter >::difference_type __bound)
Embarrassingly parallel algorithm for random access iterators, using an OpenMP for loop.