2008-03-19  Benjamin Kosnik  <bkoz@redhat.com>

	PR libstdc++/35256
	* doc/xml/manual/parallel_mode.xml: Correct configuration documentation.
	* doc/html/manual/bk01pt12ch31s04.html: Regenerate.

From-SVN: r133378
This commit is contained in:
Benjamin Kosnik 2008-03-20 14:20:49 +00:00 committed by Benjamin Kosnik
parent 6fd85d2144
commit 1285e2a25d
3 changed files with 334 additions and 101 deletions

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@ -1,3 +1,9 @@
2008-03-19 Benjamin Kosnik <bkoz@redhat.com>
PR libstdc++/35256
* doc/xml/manual/parallel_mode.xml: Correct configuration documentation.
* doc/html/manual/bk01pt12ch31s04.html: Regenerate.
2008-03-18 Benjamin Kosnik <bkoz@redhat.com>
* configure.ac (libtool_VERSION): To 6:11:0.

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@ -1,9 +1,10 @@
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8" /><title>Design</title><meta name="generator" content="DocBook XSL Stylesheets V1.73.2" /><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="start" href="../spine.html" title="The GNU C++ Library Documentation" /><link rel="up" href="parallel_mode.html" title="Chapter 31. Parallel Mode" /><link rel="prev" href="bk01pt12ch31s03.html" title="Using" /><link rel="next" href="bk01pt12ch31s05.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 width="20%" align="left"><a accesskey="p" href="bk01pt12ch31s03.html">Prev</a> </td><th width="60%" align="center">Chapter 31. Parallel Mode</th><td width="20%" align="right"> <a accesskey="n" href="bk01pt12ch31s05.html">Next</a></td></tr></table><hr /></div><div class="sect1" lang="en" xml:lang="en"><div class="titlepage"><div><div><h2 class="title" style="clear: both"><a id="manual.ext.parallel_mode.design"></a>Design</h2></div></div></div><p>
</p><div class="sect2" lang="en" xml:lang="en"><div class="titlepage"><div><div><h3 class="title"><a id="manual.ext.parallel_mode.design.intro"></a>Interface Basics</h3></div></div></div><p>All parallel algorithms are intended to have signatures that are
</p><div class="sect2" lang="en" xml:lang="en"><div class="titlepage"><div><div><h3 class="title"><a id="manual.ext.parallel_mode.design.intro"></a>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="code">std::adjacent_find</code> function is declared as:
<code class="function">std::adjacent_find</code> function is declared as:
</p><pre class="programlisting">
namespace std
{
@ -57,36 +58,124 @@ parallel algorithms look like this:
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="sect2" lang="en" xml:lang="en"><div class="titlepage"><div><div><h3 class="title"><a id="manual.ext.parallel_mode.design.tuning"></a>Configuration and Tuning</h3></div></div></div><p> Some algorithm variants can be enabled/disabled/selected at compile-time.
See <a class="ulink" href="latest-doxygen/compiletime__settings_8h.html" target="_top">
<code class="code">&lt;compiletime_settings.h&gt;</code></a> and
See <a class="ulink" href="latest-doxygen/compiletime__settings_8h.html" target="_top">
<code class="code">&lt;features.h&gt;</code></a> for details.
</p></div><div class="sect2" lang="en" xml:lang="en"><div class="titlepage"><div><div><h3 class="title"><a id="manual.ext.parallel_mode.design.tuning"></a>Configuration and Tuning</h3></div></div></div><div class="sect3" lang="en" xml:lang="en"><div class="titlepage"><div><div><h4 class="title"><a id="parallel_mode.design.tuning.omp"></a>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 an algorithm,
use <code class="code">omp_set_num_threads</code>.
To force a function to execute sequentially,
even though parallelism is switched on in general,
add <code class="code">__gnu_parallel::sequential_tag()</code>
to the end of the argument list.
To specify the number of threads to be used for an algorithm, 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);
if (omp_get_num_threads() != threads_wanted)
abort();
// Do work.
return 0;
}
</pre><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="sect3" lang="en" xml:lang="en"><div class="titlepage"><div><div><h4 class="title"><a id="parallel_mode.design.tuning.compile"></a>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, or explicitly qualify the algorithm
with the <code class="code">__gnu_parallel::</code> namespace.
</p><p>
Parallelism always incurs some overhead. Thus, it is not
helpful to parallelize operations on very small sets of data.
There are measures to avoid parallelizing stuff that is not worth it.
For each algorithm, a minimum problem size can be stated,
usually using the variable
<code class="code">__gnu_parallel::Settings::[algorithm]_minimal_n</code>.
Please see <a class="ulink" href="latest-doxygen/settings_8h.html" target="_top">
<code class="code">&lt;settings.h&gt;</code></a> for details.</p></div><div class="sect2" lang="en" xml:lang="en"><div class="titlepage"><div><div><h3 class="title"><a id="manual.ext.parallel_mode.design.impl"></a>Implementation Namespaces</h3></div></div></div><p> One namespace contain versions of code that are explicitly sequential:
Like so:
</p><pre class="programlisting">
std::sort(v.begin(), v.end(), __gnu_parallel::sequential_tag());
</pre><p>
or
</p><pre class="programlisting">
__gnu_serial::sort(v.begin(), v.end());
</pre><p>
In addition, some parallel algorithm variants can be enabled/disabled/selected
at compile-time.
</p><p>
See <a class="ulink" href="http://gcc.gnu.org/onlinedocs/libstdc++/latest-doxygen/a00446.html" target="_top"><code class="filename">compiletime_settings.h</code></a> and
See <a class="ulink" href="http://gcc.gnu.org/onlinedocs/libstdc++/latest-doxygen/a00505.html" target="_top"><code class="filename">features.h</code></a> for details.
</p></div><div class="sect3" lang="en" xml:lang="en"><div class="titlepage"><div><div><h4 class="title"><a id="parallel_mode.design.tuning.settings"></a>Run Time Settings and Defaults</h4></div></div></div><p>
The default parallization 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 implementation-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
implementation-deduced, ie <span class="type">heuristic</span>.
</p><p>
Next, the sub-choices for algorithm implementation. 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
paralleization. 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>
All these configuration variables can be changed by the user, if
desired. Please
see <a class="ulink" href="http://gcc.gnu.org/onlinedocs/libstdc++/latest-doxygen/a00640.html" target="_top"><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="sect2" lang="en" xml:lang="en"><div class="titlepage"><div><div><h3 class="title"><a id="manual.ext.parallel_mode.design.impl"></a>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="code">std::transform</code> from
&lt;algorithm&gt; has a parallel counterpart in
<code class="code">std::__parallel::transform</code> from
&lt;parallel/algorithm&gt;. In addition, these parallel
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

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@ -28,7 +28,7 @@ implementation of many algorithms the C++ Standard Library.
<para>
Several of the standard algorithms, for instance
<code>std::sort</code>, are made parallel using OpenMP
<function>std::sort</function>, are made parallel using OpenMP
annotations. These parallel mode constructs and can be invoked by
explicit source declaration or by compiling existing sources with a
specific compiler flag.
@ -39,52 +39,52 @@ specific compiler flag.
<title>Intro</title>
<para>The following library components in the include
<code>&lt;numeric&gt;</code> are included in the parallel mode:</para>
<filename class="headerfile">numeric</filename> are included in the parallel mode:</para>
<itemizedlist>
<listitem><para><code>std::accumulate</code></para></listitem>
<listitem><para><code>std::adjacent_difference</code></para></listitem>
<listitem><para><code>std::inner_product</code></para></listitem>
<listitem><para><code>std::partial_sum</code></para></listitem>
<listitem><para><function>std::accumulate</function></para></listitem>
<listitem><para><function>std::adjacent_difference</function></para></listitem>
<listitem><para><function>std::inner_product</function></para></listitem>
<listitem><para><function>std::partial_sum</function></para></listitem>
</itemizedlist>
<para>The following library components in the include
<code>&lt;algorithm&gt;</code> are included in the parallel mode:</para>
<filename class="headerfile">algorithm</filename> are included in the parallel mode:</para>
<itemizedlist>
<listitem><para><code>std::adjacent_find</code></para></listitem>
<listitem><para><code>std::count</code></para></listitem>
<listitem><para><code>std::count_if</code></para></listitem>
<listitem><para><code>std::equal</code></para></listitem>
<listitem><para><code>std::find</code></para></listitem>
<listitem><para><code>std::find_if</code></para></listitem>
<listitem><para><code>std::find_first_of</code></para></listitem>
<listitem><para><code>std::for_each</code></para></listitem>
<listitem><para><code>std::generate</code></para></listitem>
<listitem><para><code>std::generate_n</code></para></listitem>
<listitem><para><code>std::lexicographical_compare</code></para></listitem>
<listitem><para><code>std::mismatch</code></para></listitem>
<listitem><para><code>std::search</code></para></listitem>
<listitem><para><code>std::search_n</code></para></listitem>
<listitem><para><code>std::transform</code></para></listitem>
<listitem><para><code>std::replace</code></para></listitem>
<listitem><para><code>std::replace_if</code></para></listitem>
<listitem><para><code>std::max_element</code></para></listitem>
<listitem><para><code>std::merge</code></para></listitem>
<listitem><para><code>std::min_element</code></para></listitem>
<listitem><para><code>std::nth_element</code></para></listitem>
<listitem><para><code>std::partial_sort</code></para></listitem>
<listitem><para><code>std::partition</code></para></listitem>
<listitem><para><code>std::random_shuffle</code></para></listitem>
<listitem><para><code>std::set_union</code></para></listitem>
<listitem><para><code>std::set_intersection</code></para></listitem>
<listitem><para><code>std::set_symmetric_difference</code></para></listitem>
<listitem><para><code>std::set_difference</code></para></listitem>
<listitem><para><code>std::sort</code></para></listitem>
<listitem><para><code>std::stable_sort</code></para></listitem>
<listitem><para><code>std::unique_copy</code></para></listitem>
<listitem><para><function>std::adjacent_find</function></para></listitem>
<listitem><para><function>std::count</function></para></listitem>
<listitem><para><function>std::count_if</function></para></listitem>
<listitem><para><function>std::equal</function></para></listitem>
<listitem><para><function>std::find</function></para></listitem>
<listitem><para><function>std::find_if</function></para></listitem>
<listitem><para><function>std::find_first_of</function></para></listitem>
<listitem><para><function>std::for_each</function></para></listitem>
<listitem><para><function>std::generate</function></para></listitem>
<listitem><para><function>std::generate_n</function></para></listitem>
<listitem><para><function>std::lexicographical_compare</function></para></listitem>
<listitem><para><function>std::mismatch</function></para></listitem>
<listitem><para><function>std::search</function></para></listitem>
<listitem><para><function>std::search_n</function></para></listitem>
<listitem><para><function>std::transform</function></para></listitem>
<listitem><para><function>std::replace</function></para></listitem>
<listitem><para><function>std::replace_if</function></para></listitem>
<listitem><para><function>std::max_element</function></para></listitem>
<listitem><para><function>std::merge</function></para></listitem>
<listitem><para><function>std::min_element</function></para></listitem>
<listitem><para><function>std::nth_element</function></para></listitem>
<listitem><para><function>std::partial_sort</function></para></listitem>
<listitem><para><function>std::partition</function></para></listitem>
<listitem><para><function>std::random_shuffle</function></para></listitem>
<listitem><para><function>std::set_union</function></para></listitem>
<listitem><para><function>std::set_intersection</function></para></listitem>
<listitem><para><function>std::set_symmetric_difference</function></para></listitem>
<listitem><para><function>std::set_difference</function></para></listitem>
<listitem><para><function>std::sort</function></para></listitem>
<listitem><para><function>std::stable_sort</function></para></listitem>
<listitem><para><function>std::unique_copy</function></para></listitem>
</itemizedlist>
<para>The following library components in the includes
<code>&lt;set&gt;</code> and <code>&lt;map&gt;</code> are included in the parallel mode:</para>
<filename class="headerfile">set</filename> and <filename class="headerfile">map</filename> are included in the parallel mode:</para>
<itemizedlist>
<listitem><para><code>std::(multi_)map/set&lt;T&gt;::(multi_)map/set(Iterator begin, Iterator end)</code> (bulk construction)</para></listitem>
<listitem><para><code>std::(multi_)map/set&lt;T&gt;::insert(Iterator begin, Iterator end)</code> (bulk insertion)</para></listitem>
@ -113,23 +113,25 @@ It might work with other compilers, though.</para>
<sect2 id="parallel_mode.using.parallel_mode" xreflabel="using.parallel_mode">
<title>Using Parallel Mode</title>
<para>To use the libstdc++ parallel mode, compile your application with
the compiler flag <code>-D_GLIBCXX_PARALLEL -fopenmp</code>. This
<para>
To use the libstdc++ parallel mode, compile your application with
the compiler flag <constant>-D_GLIBCXX_PARALLEL -fopenmp</constant>. This
will link in <code>libgomp</code>, the GNU OpenMP <ulink url="http://gcc.gnu.org/onlinedocs/libgomp">implementation</ulink>,
whose presence is mandatory. In addition, hardware capable of atomic
operations is mandatory. Actually activating these atomic
operations may require explicit compiler flags on some targets
(like sparc and x86), such as <code>-march=i686</code>,
<code>-march=native</code> or <code>-mcpu=v9</code>.
(like sparc and x86), such as <literal>-march=i686</literal>,
<literal>-march=native</literal> or <literal>-mcpu=v9</literal>.
</para>
<para>Note that the <code>_GLIBCXX_PARALLEL</code> define may change the
<para>Note that the <constant>_GLIBCXX_PARALLEL</constant> define may change the
sizes and behavior of standard class templates such as
<code>std::search</code>, and therefore one can only link code
<function>std::search</function>, and therefore one can only link code
compiled with parallel mode and code compiled without parallel mode
if no instantiation of a container is passed between the two
translation units. Parallel mode functionality has distinct linkage,
and cannot be confused with normal mode symbols.</para>
and cannot be confused with normal mode symbols.
</para>
</sect2>
<sect2 id="manual.ext.parallel_mode.usings" xreflabel="using.specific">
@ -420,9 +422,10 @@ It might work with other compilers, though.</para>
<title>Interface Basics</title>
<para>All parallel algorithms are intended to have signatures that are
<para>
All parallel algorithms are intended to have signatures that are
equivalent to the ISO C++ algorithms replaced. For instance, the
<code>std::adjacent_find</code> function is declared as:
<function>std::adjacent_find</function> function is declared as:
</para>
<programlisting>
namespace std
@ -506,39 +509,176 @@ overload is therefore missing.
<sect2 id="manual.ext.parallel_mode.design.tuning" xreflabel="Tuning">
<title>Configuration and Tuning</title>
<para> Some algorithm variants can be enabled/disabled/selected at compile-time.
See <ulink url="latest-doxygen/compiletime__settings_8h.html">
<code>&lt;compiletime_settings.h&gt;</code></ulink> and
See <ulink url="latest-doxygen/compiletime__settings_8h.html">
<code>&lt;features.h&gt;</code></ulink> for details.
<sect3 id="parallel_mode.design.tuning.omp" xreflabel="OpenMP Environment">
<title>Setting up the OpenMP Environment</title>
<para>
Several aspects of the overall runtime environment can be manipulated
by standard OpenMP function calls.
</para>
<para>
To specify the number of threads to be used for an algorithm,
use <code>omp_set_num_threads</code>.
To force a function to execute sequentially,
even though parallelism is switched on in general,
add <code>__gnu_parallel::sequential_tag()</code>
to the end of the argument list.
To specify the number of threads to be used for an algorithm, use the
function <function>omp_set_num_threads</function>. An example:
</para>
<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);
if (omp_get_num_threads() != threads_wanted)
abort();
// Do work.
return 0;
}
</programlisting>
<para>
Other parts of the runtime environment able to be manipulated include
nested parallelism (<function>omp_set_nested</function>), schedule kind
(<function>omp_set_schedule</function>), and others. See the OpenMP
documentation for more information.
</para>
</sect3>
<sect3 id="parallel_mode.design.tuning.compile" xreflabel="Compile Switches">
<title>Compile Time Switches</title>
<para>
To force an algorithm to execute sequentially, even though parallelism
is switched on in general via the macro <constant>_GLIBCXX_PARALLEL</constant>,
add <classname>__gnu_parallel::sequential_tag()</classname> to the end
of the algorithm's argument list, or explicitly qualify the algorithm
with the <code>__gnu_parallel::</code> namespace.
</para>
<para>
Parallelism always incurs some overhead. Thus, it is not
helpful to parallelize operations on very small sets of data.
There are measures to avoid parallelizing stuff that is not worth it.
For each algorithm, a minimum problem size can be stated,
usually using the variable
<code>__gnu_parallel::Settings::[algorithm]_minimal_n</code>.
Please see <ulink url="latest-doxygen/settings_8h.html">
<code>&lt;settings.h&gt;</code></ulink> for details.</para>
Like so:
</para>
<programlisting>
std::sort(v.begin(), v.end(), __gnu_parallel::sequential_tag());
</programlisting>
<para>
or
</para>
<programlisting>
__gnu_serial::sort(v.begin(), v.end());
</programlisting>
<para>
In addition, some parallel algorithm variants can be enabled/disabled/selected
at compile-time.
</para>
<para>
See <ulink url="http://gcc.gnu.org/onlinedocs/libstdc++/latest-doxygen/a00446.html"><filename class="headerfile">compiletime_settings.h</filename></ulink> and
See <ulink url="http://gcc.gnu.org/onlinedocs/libstdc++/latest-doxygen/a00505.html"><filename class="headerfile">features.h</filename></ulink> for details.
</para>
</sect3>
<sect3 id="parallel_mode.design.tuning.settings" xreflabel="_Settings">
<title>Run Time Settings and Defaults</title>
<para>
The default parallization 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 <classname>__gnu_parallel::_Settings</classname> member data.
</para>
<para>
First off, the choice of parallelization strategy: serial, parallel,
or implementation-deduced. This corresponds
to <code>__gnu_parallel::_Settings::algorithm_strategy</code> and is a
value of enum <type>__gnu_parallel::_AlgorithmStrategy</type>
type. Choices
include: <type>heuristic</type>, <type>force_sequential</type>,
and <type>force_parallel</type>. The default is
implementation-deduced, ie <type>heuristic</type>.
</para>
<para>
Next, the sub-choices for algorithm implementation. Specific
algorithms like <function>find</function> or <function>sort</function>
can be implemented in multiple ways: when this is the case,
a <classname>__gnu_parallel::_Settings</classname> member exists to
pick the default strategy. For
example, <code>__gnu_parallel::_Settings::sort_algorithm</code> can
have any values of
enum <type>__gnu_parallel::_SortAlgorithm</type>: <type>MWMS</type>, <type>QS</type>,
or <type>QS_BALANCED</type>.
</para>
<para>
Likewise for setting the minimal threshold for algorithm
paralleization. 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 <classname>__gnu_parallel::_Settings</classname> object. This
threshold variable follows the following naming scheme:
<code>__gnu_parallel::_Settings::[algorithm]_minimal_n</code>. So,
for <function>fill</function>, the threshold variable
is <code>__gnu_parallel::_Settings::fill_minimal_n</code>
</para>
<para>
Finally, hardware details like L1/L2 cache size can be hardwired
via <code>__gnu_parallel::_Settings::L1_cache_size</code> and friends.
</para>
<para>
All these configuration variables can be changed by the user, if
desired. Please
see <ulink url="http://gcc.gnu.org/onlinedocs/libstdc++/latest-doxygen/a00640.html"><filename class="headerfile">settings.h</filename></ulink>
for complete details.
</para>
<para>
A small example of tuning the default:
</para>
<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;
}
</programlisting>
</sect3>
</sect2>
<sect2 id="manual.ext.parallel_mode.design.impl" xreflabel="Impl">
<title>Implementation Namespaces</title>
<para> One namespace contain versions of code that are explicitly sequential:
<para> One namespace contain versions of code that are always
explicitly sequential:
<code>__gnu_serial</code>.
</para>
@ -548,10 +688,8 @@ Please see <ulink url="latest-doxygen/settings_8h.html">
<para> Parallel implementations of standard components, including
template helpers to select parallelism, are defined in <code>namespace
std::__parallel</code>. For instance, <code>std::transform</code> from
&lt;algorithm&gt; has a parallel counterpart in
<code>std::__parallel::transform</code> from
&lt;parallel/algorithm&gt;. In addition, these parallel
std::__parallel</code>. For instance, <function>std::transform</function> from <filename class="headerfile">algorithm</filename> has a parallel counterpart in
<function>std::__parallel::transform</function> from <filename class="headerfile">parallel/algorithm</filename>. In addition, these parallel
implementations are injected into <code>namespace
__gnu_parallel</code> with using declarations.
</para>
@ -588,7 +726,7 @@ the generated source documentation.
<para>
The log and summary files for conformance testing are in the
<code>testsuite/parallel</code> directory.
<filename class="directory">testsuite/parallel</filename> directory.
</para>
<para>
@ -596,13 +734,13 @@ the generated source documentation.
</para>
<screen>
<userinput>check-performance-parallel</userinput>
<userinput>make check-performance-parallel</userinput>
</screen>
<para>
The result file for performance testing are in the
<code>testsuite</code> directory, in the file
<code>libstdc++_performance.sum</code>. In addition, the
<filename class="directory">testsuite</filename> directory, in the file
<filename>libstdc++_performance.sum</filename>. In addition, the
policy-based containers have their own visualizations, which have
additional software dependencies than the usual bare-boned text
file, and can be generated by using the <code>make