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+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.1//EN" "http://www.w3.org/TR/xhtml11/DTD/xhtml11.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml"><head><title>Design</title><meta name="generator" content="DocBook XSL-NS Stylesheets V1.76.1"/><meta name="keywords" content="&#10; C++&#10; , &#10; library&#10; , &#10; parallel&#10; "/><meta name="keywords" content="&#10; ISO C++&#10; , &#10; library&#10; "/><link rel="home" href="../spine.html" title="The GNU C++ Library"/><link rel="up" href="parallel_mode.html" title="Chapter 18. Parallel Mode"/><link rel="prev" href="bk01pt03ch18s03.html" title="Using"/><link rel="next" href="bk01pt03ch18s05.html" title="Testing"/></head><body><div class="navheader"><table width="100%" summary="Navigation header"><tr><th colspan="3" align="center">Design</th></tr><tr><td align="left"><a accesskey="p" href="bk01pt03ch18s03.html">Prev</a> </td><th width="60%" align="center">Chapter 18. Parallel Mode</th><td align="right"> <a accesskey="n" href="bk01pt03ch18s05.html">Next</a></td></tr></table><hr/></div><div class="section" title="Design"><div class="titlepage"><div><div><h2 class="title"><a id="manual.ext.parallel_mode.design"/>Design</h2></div></div></div><p>
+ </p><div class="section" title="Interface Basics"><div class="titlepage"><div><div><h3 class="title"><a id="parallel_mode.design.intro"/>Interface Basics</h3></div></div></div><p>
+All parallel algorithms are intended to have signatures that are
+equivalent to the ISO C++ algorithms replaced. For instance, the
+<code class="function">std::adjacent_find</code> function is declared as:
+</p><pre class="programlisting">
+namespace std
+{
+ template&lt;typename _FIter&gt;
+ _FIter
+ adjacent_find(_FIter, _FIter);
+}
+</pre><p>
+Which means that there should be something equivalent for the parallel
+version. Indeed, this is the case:
+</p><pre class="programlisting">
+namespace std
+{
+ namespace __parallel
+ {
+ template&lt;typename _FIter&gt;
+ _FIter
+ adjacent_find(_FIter, _FIter);
+
+ ...
+ }
+}
+</pre><p>But.... why the ellipses?
+</p><p> The ellipses in the example above represent additional overloads
+required for the parallel version of the function. These additional
+overloads are used to dispatch calls from the ISO C++ function
+signature to the appropriate parallel function (or sequential
+function, if no parallel functions are deemed worthy), based on either
+compile-time or run-time conditions.
+</p><p> The available signature options are specific for the different
+algorithms/algorithm classes.</p><p> The general view of overloads for the parallel algorithms look like this:
+</p><div class="itemizedlist"><ul class="itemizedlist"><li class="listitem"><p>ISO C++ signature</p></li><li class="listitem"><p>ISO C++ signature + sequential_tag argument</p></li><li class="listitem"><p>ISO C++ signature + algorithm-specific tag type
+ (several signatures)</p></li></ul></div><p> Please note that the implementation may use additional functions
+(designated with the <code class="code">_switch</code> suffix) to dispatch from the
+ISO C++ signature to the correct parallel version. Also, some of the
+algorithms do not have support for run-time conditions, so the last
+overload is therefore missing.
+</p></div><div class="section" title="Configuration and Tuning"><div class="titlepage"><div><div><h3 class="title"><a id="parallel_mode.design.tuning"/>Configuration and Tuning</h3></div></div></div><div class="section" title="Setting up the OpenMP Environment"><div class="titlepage"><div><div><h4 class="title"><a id="parallel_mode.design.tuning.omp"/>Setting up the OpenMP Environment</h4></div></div></div><p>
+Several aspects of the overall runtime environment can be manipulated
+by standard OpenMP function calls.
+</p><p>
+To specify the number of threads to be used for the algorithms globally,
+use the function <code class="function">omp_set_num_threads</code>. An example:
+</p><pre class="programlisting">
+#include &lt;stdlib.h&gt;
+#include &lt;omp.h&gt;
+
+int main()
+{
+ // Explicitly set number of threads.
+ const int threads_wanted = 20;
+ omp_set_dynamic(false);
+ omp_set_num_threads(threads_wanted);
+
+ // Call parallel mode algorithms.
+
+ return 0;
+}
+</pre><p>
+ Some algorithms allow the number of threads being set for a particular call,
+ by augmenting the algorithm variant.
+ See the next section for further information.
+</p><p>
+Other parts of the runtime environment able to be manipulated include
+nested parallelism (<code class="function">omp_set_nested</code>), schedule kind
+(<code class="function">omp_set_schedule</code>), and others. See the OpenMP
+documentation for more information.
+</p></div><div class="section" title="Compile Time Switches"><div class="titlepage"><div><div><h4 class="title"><a id="parallel_mode.design.tuning.compile"/>Compile Time Switches</h4></div></div></div><p>
+To force an algorithm to execute sequentially, even though parallelism
+is switched on in general via the macro <code class="constant">_GLIBCXX_PARALLEL</code>,
+add <code class="classname">__gnu_parallel::sequential_tag()</code> to the end
+of the algorithm's argument list.
+</p><p>
+Like so:
+</p><pre class="programlisting">
+std::sort(v.begin(), v.end(), __gnu_parallel::sequential_tag());
+</pre><p>
+Some parallel algorithm variants can be excluded from compilation by
+preprocessor defines. See the doxygen documentation on
+<code class="code">compiletime_settings.h</code> and <code class="code">features.h</code> for details.
+</p><p>
+For some algorithms, the desired variant can be chosen at compile-time by
+appending a tag object. The available options are specific to the particular
+algorithm (class).
+</p><p>
+For the "embarrassingly parallel" algorithms, there is only one "tag object
+type", the enum _Parallelism.
+It takes one of the following values,
+<code class="code">__gnu_parallel::parallel_tag</code>,
+<code class="code">__gnu_parallel::balanced_tag</code>,
+<code class="code">__gnu_parallel::unbalanced_tag</code>,
+<code class="code">__gnu_parallel::omp_loop_tag</code>,
+<code class="code">__gnu_parallel::omp_loop_static_tag</code>.
+This means that the actual parallelization strategy is chosen at run-time.
+(Choosing the variants at compile-time will come soon.)
+</p><p>
+For the following algorithms in general, we have
+<code class="code">__gnu_parallel::parallel_tag</code> and
+<code class="code">__gnu_parallel::default_parallel_tag</code>, in addition to
+<code class="code">__gnu_parallel::sequential_tag</code>.
+<code class="code">__gnu_parallel::default_parallel_tag</code> chooses the default
+algorithm at compiletime, as does omitting the tag.
+<code class="code">__gnu_parallel::parallel_tag</code> postpones the decision to runtime
+(see next section).
+For all tags, the number of threads desired for this call can optionally be
+passed to the respective tag's constructor.
+</p><p>
+The <code class="code">multiway_merge</code> algorithm comes with the additional choices,
+<code class="code">__gnu_parallel::exact_tag</code> and
+<code class="code">__gnu_parallel::sampling_tag</code>.
+Exact and sampling are the two available splitting strategies.
+</p><p>
+For the <code class="code">sort</code> and <code class="code">stable_sort</code> algorithms, there are
+several additional choices, namely
+<code class="code">__gnu_parallel::multiway_mergesort_tag</code>,
+<code class="code">__gnu_parallel::multiway_mergesort_exact_tag</code>,
+<code class="code">__gnu_parallel::multiway_mergesort_sampling_tag</code>,
+<code class="code">__gnu_parallel::quicksort_tag</code>, and
+<code class="code">__gnu_parallel::balanced_quicksort_tag</code>.
+Multiway mergesort comes with the two splitting strategies for multi-way
+merging. The quicksort options cannot be used for <code class="code">stable_sort</code>.
+</p></div><div class="section" title="Run Time Settings and Defaults"><div class="titlepage"><div><div><h4 class="title"><a id="parallel_mode.design.tuning.settings"/>Run Time Settings and Defaults</h4></div></div></div><p>
+The default parallelization strategy, the choice of specific algorithm
+strategy, the minimum threshold limits for individual parallel
+algorithms, and aspects of the underlying hardware can be specified as
+desired via manipulation
+of <code class="classname">__gnu_parallel::_Settings</code> member data.
+</p><p>
+First off, the choice of parallelization strategy: serial, parallel,
+or heuristically deduced. This corresponds
+to <code class="code">__gnu_parallel::_Settings::algorithm_strategy</code> and is a
+value of enum <span class="type">__gnu_parallel::_AlgorithmStrategy</span>
+type. Choices
+include: <span class="type">heuristic</span>, <span class="type">force_sequential</span>,
+and <span class="type">force_parallel</span>. The default is <span class="type">heuristic</span>.
+</p><p>
+Next, the sub-choices for algorithm variant, if not fixed at compile-time.
+Specific algorithms like <code class="function">find</code> or <code class="function">sort</code>
+can be implemented in multiple ways: when this is the case,
+a <code class="classname">__gnu_parallel::_Settings</code> member exists to
+pick the default strategy. For
+example, <code class="code">__gnu_parallel::_Settings::sort_algorithm</code> can
+have any values of
+enum <span class="type">__gnu_parallel::_SortAlgorithm</span>: <span class="type">MWMS</span>, <span class="type">QS</span>,
+or <span class="type">QS_BALANCED</span>.
+</p><p>
+Likewise for setting the minimal threshold for algorithm
+parallelization. Parallelism always incurs some overhead. Thus, it is
+not helpful to parallelize operations on very small sets of
+data. Because of this, measures are taken to avoid parallelizing below
+a certain, pre-determined threshold. For each algorithm, a minimum
+problem size is encoded as a variable in the
+active <code class="classname">__gnu_parallel::_Settings</code> object. This
+threshold variable follows the following naming scheme:
+<code class="code">__gnu_parallel::_Settings::[algorithm]_minimal_n</code>. So,
+for <code class="function">fill</code>, the threshold variable
+is <code class="code">__gnu_parallel::_Settings::fill_minimal_n</code>,
+</p><p>
+Finally, hardware details like L1/L2 cache size can be hardwired
+via <code class="code">__gnu_parallel::_Settings::L1_cache_size</code> and friends.
+</p><p>
+</p><p>
+All these configuration variables can be changed by the user, if
+desired.
+There exists one global instance of the class <code class="classname">_Settings</code>,
+i. e. it is a singleton. It can be read and written by calling
+<code class="code">__gnu_parallel::_Settings::get</code> and
+<code class="code">__gnu_parallel::_Settings::set</code>, respectively.
+Please note that the first call return a const object, so direct manipulation
+is forbidden.
+See <a class="link" href="http://gcc.gnu.org/onlinedocs/libstdc++/latest-doxygen/a01005.html">
+ <code class="filename">settings.h</code></a>
+for complete details.
+</p><p>
+A small example of tuning the default:
+</p><pre class="programlisting">
+#include &lt;parallel/algorithm&gt;
+#include &lt;parallel/settings.h&gt;
+
+int main()
+{
+ __gnu_parallel::_Settings s;
+ s.algorithm_strategy = __gnu_parallel::force_parallel;
+ __gnu_parallel::_Settings::set(s);
+
+ // Do work... all algorithms will be parallelized, always.
+
+ return 0;
+}
+</pre></div></div><div class="section" title="Implementation Namespaces"><div class="titlepage"><div><div><h3 class="title"><a id="parallel_mode.design.impl"/>Implementation Namespaces</h3></div></div></div><p> One namespace contain versions of code that are always
+explicitly sequential:
+<code class="code">__gnu_serial</code>.
+</p><p> Two namespaces contain the parallel mode:
+<code class="code">std::__parallel</code> and <code class="code">__gnu_parallel</code>.
+</p><p> Parallel implementations of standard components, including
+template helpers to select parallelism, are defined in <code class="code">namespace
+std::__parallel</code>. For instance, <code class="function">std::transform</code> from <code class="filename">algorithm</code> has a parallel counterpart in
+<code class="function">std::__parallel::transform</code> from <code class="filename">parallel/algorithm</code>. In addition, these parallel
+implementations are injected into <code class="code">namespace
+__gnu_parallel</code> with using declarations.
+</p><p> Support and general infrastructure is in <code class="code">namespace
+__gnu_parallel</code>.
+</p><p> More information, and an organized index of types and functions
+related to the parallel mode on a per-namespace basis, can be found in
+the generated source documentation.
+</p></div></div><div class="navfooter"><hr/><table width="100%" summary="Navigation footer"><tr><td align="left"><a accesskey="p" href="bk01pt03ch18s03.html">Prev</a> </td><td align="center"><a accesskey="u" href="parallel_mode.html">Up</a></td><td align="right"> <a accesskey="n" href="bk01pt03ch18s05.html">Next</a></td></tr><tr><td align="left" valign="top">Using </td><td align="center"><a accesskey="h" href="../spine.html">Home</a></td><td align="right" valign="top"> Testing</td></tr></table></div></body></html>