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      1 // -*- C++ -*-
      2 
      3 // Copyright (C) 2007-2013 Free Software Foundation, Inc.
      4 //
      5 // This file is part of the GNU ISO C++ Library.  This library is free
      6 // software; you can redistribute it and/or modify it under the terms
      7 // of the GNU General Public License as published by the Free Software
      8 // Foundation; either version 3, or (at your option) any later
      9 // version.
     10 
     11 // This library is distributed in the hope that it will be useful, but
     12 // WITHOUT ANY WARRANTY; without even the implied warranty of
     13 // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
     14 // General Public License for more details.
     15 
     16 // Under Section 7 of GPL version 3, you are granted additional
     17 // permissions described in the GCC Runtime Library Exception, version
     18 // 3.1, as published by the Free Software Foundation.
     19 
     20 // You should have received a copy of the GNU General Public License and
     21 // a copy of the GCC Runtime Library Exception along with this program;
     22 // see the files COPYING3 and COPYING.RUNTIME respectively.  If not, see
     23 // <http://www.gnu.org/licenses/>.
     24 
     25 /** @file parallel/workstealing.h
     26  *  @brief Parallelization of embarrassingly parallel execution by
     27  *  means of work-stealing.
     28  *
     29  *  Work stealing is described in
     30  *
     31  *  R. D. Blumofe and C. E. Leiserson.
     32  *  Scheduling multithreaded computations by work stealing.
     33  *  Journal of the ACM, 46(5):720748, 1999.
     34  *
     35  *  This file is a GNU parallel extension to the Standard C++ Library.
     36  */
     37 
     38 // Written by Felix Putze.
     39 
     40 #ifndef _GLIBCXX_PARALLEL_WORKSTEALING_H
     41 #define _GLIBCXX_PARALLEL_WORKSTEALING_H 1
     42 
     43 #include <parallel/parallel.h>
     44 #include <parallel/random_number.h>
     45 #include <parallel/compatibility.h>
     46 
     47 namespace __gnu_parallel
     48 {
     49 
     50 #define _GLIBCXX_JOB_VOLATILE volatile
     51 
     52   /** @brief One __job for a certain thread. */
     53   template<typename _DifferenceTp>
     54     struct _Job
     55     {
     56       typedef _DifferenceTp _DifferenceType;
     57 
     58       /** @brief First element.
     59        *
     60        *  Changed by owning and stealing thread. By stealing thread,
     61        *  always incremented. */
     62       _GLIBCXX_JOB_VOLATILE _DifferenceType _M_first;
     63 
     64       /** @brief Last element.
     65        *
     66        *  Changed by owning thread only. */
     67       _GLIBCXX_JOB_VOLATILE _DifferenceType _M_last;
     68 
     69       /** @brief Number of elements, i.e. @c _M_last-_M_first+1.
     70        *
     71        *  Changed by owning thread only. */
     72       _GLIBCXX_JOB_VOLATILE _DifferenceType _M_load;
     73     };
     74 
     75   /** @brief Work stealing algorithm for random access iterators.
     76     *
     77     *  Uses O(1) additional memory. Synchronization at job lists is
     78     *  done with atomic operations.
     79     *  @param __begin Begin iterator of element sequence.
     80     *  @param __end End iterator of element sequence.
     81     *  @param __op User-supplied functor (comparator, predicate, adding
     82     *  functor, ...).
     83     *  @param __f Functor to @a process an element with __op (depends on
     84     *  desired functionality, e. g. for std::for_each(), ...).
     85     *  @param __r Functor to @a add a single __result to the already
     86     *  processed elements (depends on functionality).
     87     *  @param __base Base value for reduction.
     88     *  @param __output Pointer to position where final result is written to
     89     *  @param __bound Maximum number of elements processed (e. g. for
     90     *  std::count_n()).
     91     *  @return User-supplied functor (that may contain a part of the result).
     92     */
     93   template<typename _RAIter,
     94            typename _Op,
     95            typename _Fu,
     96            typename _Red,
     97            typename _Result>
     98     _Op
     99     __for_each_template_random_access_workstealing(_RAIter __begin,
    100 						   _RAIter __end, _Op __op,
    101 						   _Fu& __f, _Red __r,
    102 						   _Result __base,
    103 						   _Result& __output,
    104       typename std::iterator_traits<_RAIter>::difference_type __bound)
    105     {
    106       _GLIBCXX_CALL(__end - __begin)
    107 
    108       typedef std::iterator_traits<_RAIter> _TraitsType;
    109       typedef typename _TraitsType::difference_type _DifferenceType;
    110 
    111       const _Settings& __s = _Settings::get();
    112 
    113       _DifferenceType __chunk_size =
    114           static_cast<_DifferenceType>(__s.workstealing_chunk_size);
    115 
    116       // How many jobs?
    117       _DifferenceType __length = (__bound < 0) ? (__end - __begin) : __bound;
    118 
    119       // To avoid false sharing in a cache line.
    120       const int __stride = (__s.cache_line_size * 10
    121 			    / sizeof(_Job<_DifferenceType>) + 1);
    122 
    123       // Total number of threads currently working.
    124       _ThreadIndex __busy = 0;
    125 
    126       _Job<_DifferenceType> *__job;
    127 
    128       omp_lock_t __output_lock;
    129       omp_init_lock(&__output_lock);
    130 
    131       // Write base value to output.
    132       __output = __base;
    133 
    134       // No more threads than jobs, at least one thread.
    135       _ThreadIndex __num_threads = __gnu_parallel::max<_ThreadIndex>
    136 	(1, __gnu_parallel::min<_DifferenceType>(__length,
    137 						 __get_max_threads()));
    138 
    139 #     pragma omp parallel shared(__busy) num_threads(__num_threads)
    140       {
    141 #       pragma omp single
    142 	{
    143 	  __num_threads = omp_get_num_threads();
    144 
    145 	  // Create job description array.
    146 	  __job = new _Job<_DifferenceType>[__num_threads * __stride];
    147 	}
    148 
    149 	// Initialization phase.
    150 
    151 	// Flags for every thread if it is doing productive work.
    152 	bool __iam_working = false;
    153 
    154 	// Thread id.
    155 	_ThreadIndex __iam = omp_get_thread_num();
    156 
    157 	// This job.
    158 	_Job<_DifferenceType>& __my_job = __job[__iam * __stride];
    159 
    160 	// Random number (for work stealing).
    161 	_ThreadIndex __victim;
    162 
    163 	// Local value for reduction.
    164 	_Result __result = _Result();
    165 
    166 	// Number of elements to steal in one attempt.
    167 	_DifferenceType __steal;
    168 
    169 	// Every thread has its own random number generator
    170 	// (modulo __num_threads).
    171 	_RandomNumber __rand_gen(__iam, __num_threads);
    172 
    173 	// This thread is currently working.
    174 #       pragma omp atomic
    175 	++__busy;
    176 
    177 	__iam_working = true;
    178 
    179 	// How many jobs per thread? last thread gets the rest.
    180 	__my_job._M_first = static_cast<_DifferenceType>
    181 	  (__iam * (__length / __num_threads));
    182 
    183 	__my_job._M_last = (__iam == (__num_threads - 1)
    184 			    ? (__length - 1)
    185 			    : ((__iam + 1) * (__length / __num_threads) - 1));
    186 	__my_job._M_load = __my_job._M_last - __my_job._M_first + 1;
    187 
    188 	// Init result with _M_first value (to have a base value for reduction)
    189 	if (__my_job._M_first <= __my_job._M_last)
    190 	  {
    191 	    // Cannot use volatile variable directly.
    192 	    _DifferenceType __my_first = __my_job._M_first;
    193 	    __result = __f(__op, __begin + __my_first);
    194 	    ++__my_job._M_first;
    195 	    --__my_job._M_load;
    196 	  }
    197 
    198 	_RAIter __current;
    199 
    200 #       pragma omp barrier
    201 
    202 	// Actual work phase
    203 	// Work on own or stolen current start
    204 	while (__busy > 0)
    205 	  {
    206 	    // Work until no productive thread left.
    207 #           pragma omp flush(__busy)
    208 
    209 	    // Thread has own work to do
    210 	    while (__my_job._M_first <= __my_job._M_last)
    211 	      {
    212 		// fetch-and-add call
    213 		// Reserve current job block (size __chunk_size) in my queue.
    214 		_DifferenceType __current_job =
    215 		  __fetch_and_add<_DifferenceType>(&(__my_job._M_first),
    216 						   __chunk_size);
    217 
    218 		// Update _M_load, to make the three values consistent,
    219 		// _M_first might have been changed in the meantime
    220 		__my_job._M_load = __my_job._M_last - __my_job._M_first + 1;
    221 		for (_DifferenceType __job_counter = 0;
    222 		     __job_counter < __chunk_size
    223 		       && __current_job <= __my_job._M_last;
    224 		     ++__job_counter)
    225 		  {
    226 		    // Yes: process it!
    227 		    __current = __begin + __current_job;
    228 		    ++__current_job;
    229 
    230 		    // Do actual work.
    231 		    __result = __r(__result, __f(__op, __current));
    232 		  }
    233 
    234 #               pragma omp flush(__busy)
    235 	      }
    236 
    237 	    // After reaching this point, a thread's __job list is empty.
    238 	    if (__iam_working)
    239 	      {
    240 		// This thread no longer has work.
    241 #               pragma omp atomic
    242 		--__busy;
    243 
    244 		__iam_working = false;
    245 	      }
    246 
    247 	    _DifferenceType __supposed_first, __supposed_last,
    248 	                    __supposed_load;
    249 	    do
    250 	      {
    251 		// Find random nonempty deque (not own), do consistency check.
    252 		__yield();
    253 #               pragma omp flush(__busy)
    254 		__victim = __rand_gen();
    255 		__supposed_first = __job[__victim * __stride]._M_first;
    256 		__supposed_last = __job[__victim * __stride]._M_last;
    257 		__supposed_load = __job[__victim * __stride]._M_load;
    258 	      }
    259 	    while (__busy > 0
    260 		   && ((__supposed_load <= 0)
    261 		       || ((__supposed_first + __supposed_load - 1)
    262 			   != __supposed_last)));
    263 
    264 	    if (__busy == 0)
    265 	      break;
    266 
    267 	    if (__supposed_load > 0)
    268 	      {
    269 		// Has work and work to do.
    270 		// Number of elements to steal (at least one).
    271 		__steal = (__supposed_load < 2) ? 1 : __supposed_load / 2;
    272 
    273 		// Push __victim's current start forward.
    274 		_DifferenceType __stolen_first =
    275 		  __fetch_and_add<_DifferenceType>
    276 		  (&(__job[__victim * __stride]._M_first), __steal);
    277 		_DifferenceType __stolen_try = (__stolen_first + __steal
    278 						- _DifferenceType(1));
    279 
    280 		__my_job._M_first = __stolen_first;
    281 		__my_job._M_last = __gnu_parallel::min(__stolen_try,
    282 						       __supposed_last);
    283 		__my_job._M_load = __my_job._M_last - __my_job._M_first + 1;
    284 
    285 		// Has potential work again.
    286 #               pragma omp atomic
    287 		++__busy;
    288 		__iam_working = true;
    289 
    290 #               pragma omp flush(__busy)
    291 	      }
    292 #           pragma omp flush(__busy)
    293 	  } // end while __busy > 0
    294 	// Add accumulated result to output.
    295 	omp_set_lock(&__output_lock);
    296 	__output = __r(__output, __result);
    297 	omp_unset_lock(&__output_lock);
    298       }
    299 
    300       delete[] __job;
    301 
    302       // Points to last element processed (needed as return value for
    303       // some algorithms like transform)
    304       __f._M_finish_iterator = __begin + __length;
    305 
    306       omp_destroy_lock(&__output_lock);
    307 
    308       return __op;
    309     }
    310 } // end namespace
    311 
    312 #endif /* _GLIBCXX_PARALLEL_WORKSTEALING_H */
    313