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      <h1>Performance benefit by using compiled model definitions in mkin</h1>
                        <h4 class="author">Johannes Ranke</h4>
            
            <h4 class="date">2018-09-18</h4>
      
      
      <div class="hidden name"><code>compiled_models.Rmd</code></div>

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<div id="model-that-can-also-be-solved-with-eigenvalues" class="section level2">
<h2 class="hasAnchor">
<a href="#model-that-can-also-be-solved-with-eigenvalues" class="anchor"></a>Model that can also be solved with Eigenvalues</h2>
<p>This evaluation is taken from the example section of mkinfit. When using an mkin version equal to or greater than 0.9-36 and a C compiler (gcc) is available, you will see a message that the model is being compiled from autogenerated C code when defining a model using mkinmod. The <code><a href="../../reference/mkinmod.html">mkinmod()</a></code> function checks for presence of the gcc compiler using</p>
<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb1-1" data-line-number="1"><span class="kw">Sys.which</span>(<span class="st">"gcc"</span>)</a></code></pre></div>
<pre><code>##            gcc 
## "/usr/bin/gcc"</code></pre>
<p>First, we build a simple degradation model for a parent compound with one metabolite.</p>
<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb3-1" data-line-number="1"><span class="kw">library</span>(<span class="st">"mkin"</span>, <span class="dt">quietly =</span> <span class="ot">TRUE</span>)</a>
<a class="sourceLine" id="cb3-2" data-line-number="2">SFO_SFO &lt;-<span class="st"> </span><span class="kw"><a href="../../reference/mkinmod.html">mkinmod</a></span>(</a>
<a class="sourceLine" id="cb3-3" data-line-number="3">  <span class="dt">parent =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>, <span class="st">"m1"</span>),</a>
<a class="sourceLine" id="cb3-4" data-line-number="4">  <span class="dt">m1 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"SFO"</span>))</a></code></pre></div>
<pre><code>## Successfully compiled differential equation model from auto-generated C code.</code></pre>
<p>We can compare the performance of the Eigenvalue based solution against the compiled version and the R implementation of the differential equations using the benchmark package.</p>
<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb5-1" data-line-number="1"><span class="cf">if</span> (<span class="kw">require</span>(rbenchmark)) {</a>
<a class="sourceLine" id="cb5-2" data-line-number="2">  b<span class="fl">.1</span> &lt;-<span class="st"> </span><span class="kw"><a href="http://www.rdocumentation.org/packages/rbenchmark/topics/benchmark">benchmark</a></span>(</a>
<a class="sourceLine" id="cb5-3" data-line-number="3">    <span class="st">"deSolve, not compiled"</span> =<span class="st"> </span><span class="kw"><a href="../../reference/mkinfit.html">mkinfit</a></span>(SFO_SFO, FOCUS_<span class="dv">2006</span>_D,</a>
<a class="sourceLine" id="cb5-4" data-line-number="4">                                      <span class="dt">solution_type =</span> <span class="st">"deSolve"</span>,</a>
<a class="sourceLine" id="cb5-5" data-line-number="5">                                      <span class="dt">use_compiled =</span> <span class="ot">FALSE</span>, <span class="dt">quiet =</span> <span class="ot">TRUE</span>),</a>
<a class="sourceLine" id="cb5-6" data-line-number="6">    <span class="st">"Eigenvalue based"</span> =<span class="st"> </span><span class="kw"><a href="../../reference/mkinfit.html">mkinfit</a></span>(SFO_SFO, FOCUS_<span class="dv">2006</span>_D,</a>
<a class="sourceLine" id="cb5-7" data-line-number="7">                                 <span class="dt">solution_type =</span> <span class="st">"eigen"</span>, <span class="dt">quiet =</span> <span class="ot">TRUE</span>),</a>
<a class="sourceLine" id="cb5-8" data-line-number="8">    <span class="st">"deSolve, compiled"</span> =<span class="st"> </span><span class="kw"><a href="../../reference/mkinfit.html">mkinfit</a></span>(SFO_SFO, FOCUS_<span class="dv">2006</span>_D,</a>
<a class="sourceLine" id="cb5-9" data-line-number="9">                                  <span class="dt">solution_type =</span> <span class="st">"deSolve"</span>, <span class="dt">quiet =</span> <span class="ot">TRUE</span>),</a>
<a class="sourceLine" id="cb5-10" data-line-number="10">    <span class="dt">replications =</span> <span class="dv">3</span>)</a>
<a class="sourceLine" id="cb5-11" data-line-number="11">  <span class="kw">print</span>(b<span class="fl">.1</span>)</a>
<a class="sourceLine" id="cb5-12" data-line-number="12">  factor_SFO_SFO &lt;-<span class="st"> </span><span class="kw">round</span>(b<span class="fl">.1</span>[<span class="st">"1"</span>, <span class="st">"relative"</span>])</a>
<a class="sourceLine" id="cb5-13" data-line-number="13">} <span class="cf">else</span> {</a>
<a class="sourceLine" id="cb5-14" data-line-number="14">  factor_SFO_SFO &lt;-<span class="st"> </span><span class="ot">NA</span></a>
<a class="sourceLine" id="cb5-15" data-line-number="15">  <span class="kw">print</span>(<span class="st">"R package benchmark is not available"</span>)</a>
<a class="sourceLine" id="cb5-16" data-line-number="16">}</a></code></pre></div>
<pre><code>## Lade nötiges Paket: rbenchmark</code></pre>
<pre><code>##                    test replications elapsed relative user.self sys.self
## 3     deSolve, compiled            3   2.001    1.000     1.999        0
## 1 deSolve, not compiled            3  15.374    7.683    15.368        0
## 2      Eigenvalue based            3   2.439    1.219     2.438        0
##   user.child sys.child
## 3          0         0
## 1          0         0
## 2          0         0</code></pre>
<p>We see that using the compiled model is by a factor of around 8 faster than using the R version with the default ode solver, and it is even faster than the Eigenvalue based solution implemented in R which does not need iterative solution of the ODEs.</p>
</div>
<div id="model-that-can-not-be-solved-with-eigenvalues" class="section level2">
<h2 class="hasAnchor">
<a href="#model-that-can-not-be-solved-with-eigenvalues" class="anchor"></a>Model that can not be solved with Eigenvalues</h2>
<p>This evaluation is also taken from the example section of mkinfit.</p>
<div class="sourceCode" id="cb8"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb8-1" data-line-number="1"><span class="cf">if</span> (<span class="kw">require</span>(rbenchmark)) {</a>
<a class="sourceLine" id="cb8-2" data-line-number="2">  FOMC_SFO &lt;-<span class="st"> </span><span class="kw"><a href="../../reference/mkinmod.html">mkinmod</a></span>(</a>
<a class="sourceLine" id="cb8-3" data-line-number="3">    <span class="dt">parent =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>(<span class="st">"FOMC"</span>, <span class="st">"m1"</span>),</a>
<a class="sourceLine" id="cb8-4" data-line-number="4">    <span class="dt">m1 =</span> <span class="kw"><a href="../../reference/mkinsub.html">mkinsub</a></span>( <span class="st">"SFO"</span>))</a>
<a class="sourceLine" id="cb8-5" data-line-number="5"></a>
<a class="sourceLine" id="cb8-6" data-line-number="6">  b<span class="fl">.2</span> &lt;-<span class="st"> </span><span class="kw"><a href="http://www.rdocumentation.org/packages/rbenchmark/topics/benchmark">benchmark</a></span>(</a>
<a class="sourceLine" id="cb8-7" data-line-number="7">    <span class="st">"deSolve, not compiled"</span> =<span class="st"> </span><span class="kw"><a href="../../reference/mkinfit.html">mkinfit</a></span>(FOMC_SFO, FOCUS_<span class="dv">2006</span>_D,</a>
<a class="sourceLine" id="cb8-8" data-line-number="8">                                      <span class="dt">use_compiled =</span> <span class="ot">FALSE</span>, <span class="dt">quiet =</span> <span class="ot">TRUE</span>),</a>
<a class="sourceLine" id="cb8-9" data-line-number="9">    <span class="st">"deSolve, compiled"</span> =<span class="st"> </span><span class="kw"><a href="../../reference/mkinfit.html">mkinfit</a></span>(FOMC_SFO, FOCUS_<span class="dv">2006</span>_D, <span class="dt">quiet =</span> <span class="ot">TRUE</span>),</a>
<a class="sourceLine" id="cb8-10" data-line-number="10">    <span class="dt">replications =</span> <span class="dv">3</span>)</a>
<a class="sourceLine" id="cb8-11" data-line-number="11">  <span class="kw">print</span>(b<span class="fl">.2</span>)</a>
<a class="sourceLine" id="cb8-12" data-line-number="12">  factor_FOMC_SFO &lt;-<span class="st"> </span><span class="kw">round</span>(b<span class="fl">.2</span>[<span class="st">"1"</span>, <span class="st">"relative"</span>])</a>
<a class="sourceLine" id="cb8-13" data-line-number="13">} <span class="cf">else</span> {</a>
<a class="sourceLine" id="cb8-14" data-line-number="14">  factor_FOMC_SFO &lt;-<span class="st"> </span><span class="ot">NA</span></a>
<a class="sourceLine" id="cb8-15" data-line-number="15">  <span class="kw">print</span>(<span class="st">"R package benchmark is not available"</span>)</a>
<a class="sourceLine" id="cb8-16" data-line-number="16">}</a></code></pre></div>
<pre><code>## Successfully compiled differential equation model from auto-generated C code.</code></pre>
<pre><code>##                    test replications elapsed relative user.self sys.self
## 2     deSolve, compiled            3   3.608    1.000     3.607        0
## 1 deSolve, not compiled            3  33.150    9.188    33.135        0
##   user.child sys.child
## 2          0         0
## 1          0         0</code></pre>
<p>Here we get a performance benefit of a factor of 9 using the version of the differential equation model compiled from C code!</p>
<p>This vignette was built with mkin 0.9.47.5 on</p>
<pre><code>## R version 3.5.1 (2018-07-02)
## Platform: x86_64-pc-linux-gnu (64-bit)
## Running under: Debian GNU/Linux 9 (stretch)</code></pre>
<pre><code>## CPU model: AMD Ryzen 7 1700 Eight-Core Processor</code></pre>
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