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//usr/include/c++/4.4.7/parallel/settings.h

// -*- C++ -*-

// Copyright (C) 2007, 2008, 2009 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/settings.h
 *  @brief Runtime settings and tuning parameters, heuristics to decide
 *  whether to use parallelized algorithms.
 *  This file is a GNU parallel extension to the Standard C++ Library.
 *
 *  @section parallelization_decision 
 *  The decision whether to run an algorithm in parallel.
 *
 *  There are several ways the user can switch on and off the parallel
 *  execution of an algorithm, both at compile- and run-time.
 *
 *  Only sequential execution can be forced at compile-time.  This
 *  reduces code size and protects code parts that have
 *  non-thread-safe side effects.
 *
 *  Ultimately, forcing parallel execution at compile-time makes
 *  sense.  Often, the sequential algorithm implementation is used as
 *  a subroutine, so no reduction in code size can be achieved.  Also,
 *  the machine the program is run on might have only one processor
 *  core, so to avoid overhead, the algorithm is executed
 *  sequentially.
 *
 *  To force sequential execution of an algorithm ultimately at
 *  compile-time, the user must add the tag
 *  __gnu_parallel::sequential_tag() to the end of the parameter list,
 *  e. g.
 *
 *  \code
 *  std::sort(v.begin(), v.end(), __gnu_parallel::sequential_tag());
 *  \endcode
 *
 *  This is compatible with all overloaded algorithm variants.  No
 *  additional code will be instantiated, at all.  The same holds for
 *  most algorithm calls with iterators not providing random access.
 *
 *  If the algorithm call is not forced to be executed sequentially
 *  at compile-time, the decision is made at run-time.
 *  The global variable __gnu_parallel::_Settings::algorithm_strategy
 *  is checked. It is a tristate variable corresponding to:
 *
 *  a. force_sequential, meaning the sequential algorithm is executed.
 *  b. force_parallel, meaning the parallel algorithm is executed.
 *  c. heuristic
 *
 *  For heuristic, the parallel algorithm implementation is called
 *  only if the input size is sufficiently large.  For most
 *  algorithms, the input size is the (combined) length of the input
 *  sequence(s).  The threshold can be set by the user, individually
 *  for each algorithm.  The according variables are called
 *  __gnu_parallel::_Settings::[algorithm]_minimal_n .
 *
 *  For some of the algorithms, there are even more tuning options,
 *  e. g. the ability to choose from multiple algorithm variants.  See
 *  below for details.
 */

// Written by Johannes Singler and Felix Putze.

#ifndef _GLIBCXX_PARALLEL_SETTINGS_H
#define _GLIBCXX_PARALLEL_SETTINGS_H 1

#include <parallel/types.h>

/** 
  * @brief Determine at compile(?)-time if the parallel variant of an
  * algorithm should be called.
  * @param c A condition that is convertible to bool that is overruled by
  * __gnu_parallel::_Settings::algorithm_strategy. Usually a decision
  * based on the input size.
  */
#define _GLIBCXX_PARALLEL_CONDITION(c) (__gnu_parallel::_Settings::get().algorithm_strategy != __gnu_parallel::force_sequential && ((__gnu_parallel::get_max_threads() > 1 && (c)) || __gnu_parallel::_Settings::get().algorithm_strategy == __gnu_parallel::force_parallel))

/*
inline bool
parallel_condition(bool c)
{
  bool ret = false;
  const _Settings& s = _Settings::get();
  if (s.algorithm_strategy != force_seqential)
    {
      if (s.algorithm_strategy == force_parallel)
	ret = true;
      else
	ret = get_max_threads() > 1 && c;
    }
  return ret;
}
*/

namespace __gnu_parallel
{
  /// class _Settings 
  /// Run-time settings for the parallel mode, including all tunable parameters.
  struct _Settings
  {
    _AlgorithmStrategy 		algorithm_strategy;
    
    _SortAlgorithm 		sort_algorithm;
    _PartialSumAlgorithm 	partial_sum_algorithm;
    _MultiwayMergeAlgorithm 	multiway_merge_algorithm;
    _FindAlgorithm 		find_algorithm;

_SplittingAlgorithm 	sort_splitting;
    _SplittingAlgorithm 	merge_splitting;
    _SplittingAlgorithm 	multiway_merge_splitting;

// Per-algorithm settings.

/// Minimal input size for accumulate.
    sequence_index_t 		accumulate_minimal_n;

/// Minimal input size for adjacent_difference.
    unsigned int 		adjacent_difference_minimal_n;

/// Minimal input size for count and count_if.
    sequence_index_t 		count_minimal_n;

/// Minimal input size for fill.
    sequence_index_t 		fill_minimal_n;

/// Block size increase factor for find.
    double 			find_increasing_factor;

/// Initial block size for find.
    sequence_index_t 		find_initial_block_size;

/// Maximal block size for find.
    sequence_index_t 		find_maximum_block_size;

/// Start with looking for this many elements sequentially, for find.
    sequence_index_t 		find_sequential_search_size;

/// Minimal input size for for_each.
    sequence_index_t 		for_each_minimal_n;

/// Minimal input size for generate.
    sequence_index_t 		generate_minimal_n;

/// Minimal input size for max_element.
    sequence_index_t 		max_element_minimal_n;

/// Minimal input size for merge.
    sequence_index_t 		merge_minimal_n;

/// Oversampling factor for merge.
    unsigned int 		merge_oversampling;

/// Minimal input size for min_element.
    sequence_index_t 		min_element_minimal_n;

/// Minimal input size for multiway_merge.
    sequence_index_t 		multiway_merge_minimal_n;

/// Oversampling factor for multiway_merge.
    int 			multiway_merge_minimal_k;

/// Oversampling factor for multiway_merge.
    unsigned int 		multiway_merge_oversampling;

/// Minimal input size for nth_element.
    sequence_index_t 		nth_element_minimal_n;

/// Chunk size for partition.
    sequence_index_t 		partition_chunk_size;

/// Chunk size for partition, relative to input size.  If > 0.0,
    /// this value overrides partition_chunk_size.
    double 			partition_chunk_share;

/// Minimal input size for partition.
    sequence_index_t 		partition_minimal_n;

/// Minimal input size for partial_sort.
    sequence_index_t 		partial_sort_minimal_n;

/// Ratio for partial_sum. Assume "sum and write result" to be
    /// this factor slower than just "sum".
    float 			partial_sum_dilation;

/// Minimal input size for partial_sum.
    unsigned int 		partial_sum_minimal_n;

/// Minimal input size for random_shuffle.
    unsigned int 		random_shuffle_minimal_n;

/// Minimal input size for replace and replace_if.
    sequence_index_t 		replace_minimal_n;

/// Minimal input size for set_difference.
    sequence_index_t 		set_difference_minimal_n;

/// Minimal input size for set_intersection.
    sequence_index_t 		set_intersection_minimal_n;

/// Minimal input size for set_symmetric_difference.
    sequence_index_t 		set_symmetric_difference_minimal_n;

/// Minimal input size for set_union.
    sequence_index_t 		set_union_minimal_n;

/// Minimal input size for parallel sorting.
    sequence_index_t 		sort_minimal_n;

/// Oversampling factor for parallel std::sort (MWMS).
    unsigned int 		sort_mwms_oversampling;

/// Such many samples to take to find a good pivot (quicksort).
    unsigned int 		sort_qs_num_samples_preset;

/// Maximal subsequence length to switch to unbalanced base case.
    /// Applies to std::sort with dynamically load-balanced quicksort.
    sequence_index_t 		sort_qsb_base_case_maximal_n;

/// Minimal input size for parallel std::transform.
    sequence_index_t 		transform_minimal_n;

/// Minimal input size for unique_copy. 
    sequence_index_t 		unique_copy_minimal_n;

sequence_index_t 		workstealing_chunk_size;

// Hardware dependent tuning parameters.

/// Size of the L1 cache in bytes (underestimation).
    unsigned long long 		L1_cache_size;

/// Size of the L2 cache in bytes (underestimation).
    unsigned long long 		L2_cache_size;

/// Size of the Translation Lookaside Buffer (underestimation).
    unsigned int 		TLB_size;

/// Overestimation of cache line size.  Used to avoid false
    /// sharing, i. e. elements of different threads are at least this
    /// amount apart.
    unsigned int 		cache_line_size;

// Statistics.

/// The number of stolen ranges in load-balanced quicksort.
    sequence_index_t 		qsb_steals;

/// Get the global settings.
    static const _Settings&
    get() throw();

/// Set the global settings.
    static void
    set(_Settings&) throw();

explicit 
    _Settings() : algorithm_strategy(heuristic), sort_algorithm(MWMS), partial_sum_algorithm(LINEAR), multiway_merge_algorithm(LOSER_TREE), find_algorithm(CONSTANT_SIZE_BLOCKS), sort_splitting(EXACT), merge_splitting(EXACT), multiway_merge_splitting(EXACT), accumulate_minimal_n(1000), adjacent_difference_minimal_n(1000), count_minimal_n(1000), fill_minimal_n(1000), find_increasing_factor(2.0), find_initial_block_size(256), find_maximum_block_size(8192), find_sequential_search_size(256), for_each_minimal_n(1000), generate_minimal_n(1000), max_element_minimal_n(1000), merge_minimal_n(1000), merge_oversampling(10), min_element_minimal_n(1000), multiway_merge_minimal_n(1000), multiway_merge_minimal_k(2), multiway_merge_oversampling(10), nth_element_minimal_n(1000), partition_chunk_size(1000), partition_chunk_share(0.0), partition_minimal_n(1000), partial_sort_minimal_n(1000), partial_sum_dilation(1.0f), partial_sum_minimal_n(1000), random_shuffle_minimal_n(1000), replace_minimal_n(1000), set_difference_minimal_n(1000), set_intersection_minimal_n(1000), set_symmetric_difference_minimal_n(1000), set_union_minimal_n(1000), sort_minimal_n(1000), sort_mwms_oversampling(10), sort_qs_num_samples_preset(100), sort_qsb_base_case_maximal_n(100), transform_minimal_n(1000), unique_copy_minimal_n(10000), workstealing_chunk_size(100), L1_cache_size(16 << 10), L2_cache_size(256 << 10), TLB_size(128), cache_line_size(64), qsb_steals(0)
    { }
  };
}

#endif /* _GLIBCXX_PARALLEL_SETTINGS_H */