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| author | Johannes Ranke <jranke@uni-bremen.de> | 2016-09-10 04:03:08 +0200 |
|---|---|---|
| committer | Johannes Ranke <jranke@uni-bremen.de> | 2016-09-10 04:33:02 +0200 |
| commit | 3b399df5231576880fd9e0ae7253064d82edfe86 (patch) | |
| tree | bf0993ec35b4a02d4d76c35631df8265372ad869 /inst/web/vignettes/compiled_models.html | |
| parent | fe16512e7f9e875340d498b01920e5967a2b7bd0 (diff) | |
Static documentation rebuilt by staticdocs::build_site()
Diffstat (limited to 'inst/web/vignettes/compiled_models.html')
| -rw-r--r-- | inst/web/vignettes/compiled_models.html | 49 |
1 files changed, 25 insertions, 24 deletions
diff --git a/inst/web/vignettes/compiled_models.html b/inst/web/vignettes/compiled_models.html index 12289676..004a808c 100644 --- a/inst/web/vignettes/compiled_models.html +++ b/inst/web/vignettes/compiled_models.html @@ -11,7 +11,7 @@ <meta name="author" content="Johannes Ranke" /> -<meta name="date" content="2016-06-28" /> +<meta name="date" content="2016-09-10" /> <title>Performance benefit by using compiled model definitions in mkin</title> @@ -27,7 +27,7 @@ <style type="text/css">code{white-space: pre;}</style> <link href="data:text/css;charset=utf-8,pre%20%2Eoperator%2C%0Apre%20%2Eparen%20%7B%0Acolor%3A%20rgb%28104%2C%20118%2C%20135%29%0A%7D%0Apre%20%2Eliteral%20%7B%0Acolor%3A%20%23990073%0A%7D%0Apre%20%2Enumber%20%7B%0Acolor%3A%20%23099%3B%0A%7D%0Apre%20%2Ecomment%20%7B%0Acolor%3A%20%23998%3B%0Afont%2Dstyle%3A%20italic%0A%7D%0Apre%20%2Ekeyword%20%7B%0Acolor%3A%20%23900%3B%0Afont%2Dweight%3A%20bold%0A%7D%0Apre%20%2Eidentifier%20%7B%0Acolor%3A%20rgb%280%2C%200%2C%200%29%3B%0A%7D%0Apre%20%2Estring%20%7B%0Acolor%3A%20%23d14%3B%0A%7D%0A" rel="stylesheet" type="text/css" /> -<script src="data:application/x-javascript;base64,
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"></script> <style type="text/css"> pre:not([class]) { background-color: white; @@ -152,6 +152,7 @@ $(document).ready(function () { } } + .toc-content { padding-left: 30px; padding-right: 40px; @@ -214,7 +215,7 @@ div.tocify { <h1 class="title toc-ignore">Performance benefit by using compiled model definitions in mkin</h1> <h4 class="author"><em>Johannes Ranke</em></h4> -<h4 class="date"><em>2016-06-28</em></h4> +<h4 class="date"><em>2016-09-10</em></h4> </div> @@ -248,24 +249,24 @@ mb.1 <- microbenchmark( ## precision.</code></pre> <pre class="r"><code>smb.1 <- summary(mb.1) print(mb.1)</code></pre> -<pre><code>## Unit: seconds +<pre><code>## Unit: milliseconds ## expr min lq mean median uq -## deSolve, not compiled 25.120822 25.185794 25.345704 25.250766 25.458146 -## Eigenvalue based 2.246793 2.255533 2.258865 2.264274 2.264901 -## deSolve, compiled 1.861661 1.893380 1.930436 1.925098 1.964823 +## deSolve, not compiled 6507.8296 6549.5160 6597.4319 6591.2024 6642.2330 +## Eigenvalue based 890.5249 917.6589 928.4907 944.7928 947.4735 +## deSolve, compiled 735.4908 742.0363 749.3996 748.5817 756.3540 ## max neval cld -## 25.665525 3 b -## 2.265527 3 a -## 2.004547 3 a</code></pre> +## 6693.2636 3 c +## 950.1543 3 b +## 764.1264 3 a</code></pre> <pre class="r"><code>autoplot(mb.1)</code></pre> -<p><img 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" title alt width="672" /></p> -<p>We see that using the compiled model is by a factor of 13.1 faster than using the R version with the default ode solver, and it is even faster than the Eigenvalue based solution implemented in R which does not need iterative solution of the ODEs:</p> +<p><img src="data:image/png;base64,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" width="672" /></p> +<p>We see that using the compiled model is by a factor of 8.8 faster than using the R version with the default ode solver, and it is even faster than the Eigenvalue based solution implemented in R which does not need iterative solution of the ODEs:</p> <pre class="r"><code>rownames(smb.1) <- smb.1$expr smb.1["median"]/smb.1["deSolve, compiled", "median"]</code></pre> -<pre><code>## median -## deSolve, not compiled 13.116611 -## Eigenvalue based 1.176186 -## deSolve, compiled 1.000000</code></pre> +<pre><code>## median +## deSolve, not compiled 8.804921 +## Eigenvalue based 1.262110 +## deSolve, compiled 1.000000</code></pre> </div> <div id="benchmark-for-a-model-that-can-not-be-solved-with-eigenvalues" class="section level2"> <h2>Benchmark for a model that can not be solved with Eigenvalues</h2> @@ -285,20 +286,20 @@ smb.1["median"]/smb.1["deSolve, compiled", "median" <pre class="r"><code>smb.2 <- summary(mb.2) print(mb.2)</code></pre> <pre><code>## Unit: seconds -## expr min lq mean median uq -## deSolve, not compiled 54.536624 54.617928 54.690830 54.699231 54.767933 -## deSolve, compiled 3.690661 3.693247 3.720722 3.695833 3.735753 +## expr min lq mean median uq +## deSolve, not compiled 13.741831 13.74759 13.815509 13.753350 13.852348 +## deSolve, compiled 1.358402 1.35862 1.368666 1.358838 1.373798 ## max neval cld -## 54.836635 3 b -## 3.775673 3 a</code></pre> +## 13.951345 3 b +## 1.388759 3 a</code></pre> <pre class="r"><code>smb.2["median"]/smb.2["deSolve, compiled", "median"]</code></pre> <pre><code>## median ## 1 NA ## 2 NA</code></pre> <pre class="r"><code>autoplot(mb.2)</code></pre> -<p><img 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" title alt width="672" /></p> -<p>Here we get a performance benefit of a factor of 14.8 using the version of the differential equation model compiled from C code!</p> -<p>This vignette was built with mkin 0.9.44 on</p> +<p><img 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" width="672" /></p> +<p>Here we get a performance benefit of a factor of 10.1 using the version of the differential equation model compiled from C code!</p> +<p>This vignette was built with mkin 0.9.44.9000 on</p> <pre><code>## R version 3.3.1 (2016-06-21) ## Platform: x86_64-pc-linux-gnu (64-bit) ## Running under: Debian GNU/Linux 8 (jessie)</code></pre> |