35 #ifndef _GLIBCXX_PARALLEL_FOR_EACH_H 
   36 #define _GLIBCXX_PARALLEL_FOR_EACH_H 1 
   58   template<
typename _IIter, 
typename _UserOp,
 
   59            typename _Functionality, 
typename _Red, 
typename _Result>
 
   63                                       _Functionality& __functionality,
 
   65                                       _Result __reduction_start,
 
   66                                       _Result& __output, 
typename 
   67                                       std::iterator_traits<_IIter>::
 
   68                                       difference_type __bound,
 
   73       (__begin, __end, __user_op, __functionality, __reduction,
 
   74        __reduction_start, __output, __bound);
 
   77       (__begin, __end, __user_op, __functionality, __reduction,
 
   78        __reduction_start, __output, __bound);
 
   81       (__begin, __end, __user_op, __functionality, __reduction,
 
   82        __reduction_start, __output, __bound);
 
   85       (__begin, __end, __user_op, __functionality, __reduction,
 
   86        __reduction_start, __output, __bound);
 
Parallelization of embarrassingly parallel execution by means of work-stealing. 
Parallelization of embarrassingly parallel execution by means of an OpenMP for loop. This file is a GNU parallel extension to the Standard C++ Library. 
_Parallelism
Run-time equivalents for the compile-time tags. 
Parallelization of embarrassingly parallel execution by means of equal splitting. This file is a GNU ...
Parallel with OpenMP static load-balancing. 
Runtime settings and tuning parameters, heuristics to decide whether to use parallelized algorithms...
_Op __for_each_template_random_access_workstealing(_RAIter __begin, _RAIter __end, _Op __op, _Fu &__f, _Red __r, _Result __base, _Result &__output, typename std::iterator_traits< _RAIter >::difference_type __bound)
Work stealing algorithm for random access iterators. 
_UserOp __for_each_template_random_access(_IIter __begin, _IIter __end, _UserOp __user_op, _Functionality &__functionality, _Red __reduction, _Result __reduction_start, _Result &__output, typename std::iterator_traits< _IIter >::difference_type __bound, _Parallelism __parallelism_tag)
Chose the desired algorithm by evaluating __parallelism_tag. 
_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...
Parallel with OpenMP dynamic load-balancing. 
GNU parallel code for public use. 
_Op __for_each_template_random_access_ed(_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 hand-crafted parallelization by ...
Parallel unbalanced (equal-sized chunks).