examples/sierpinski/index.html

<h1>Henshin Example: Sierpinski Triangle</h1>

<p>
<small><i>contributed by Enrico Biermann and Christian Krause</i></small>
</p>

<p>
<img src="examples/sierpinski/sierpinski.gif" width="150px" align="right" />
This is a very simple example which we use to do some benchmarking for the Henshin interpreter. 
The <a href="http://en.wikipedia.org/wiki/Sierpinski_triangle">Sierpinski triangle</a> is a fractal 
which is constructed by iteratively dividing triangles into sub-triangles.
The number of nodes in the triangle grows exponentially with the number of iterations. 
</p>

<p>
The transformation consists of a single rule, which divides and adds new triangles. 
The screenshot below shows this rule in the graphical editor.
</p>

<p>
<a href="examples/sierpinski/addtriangle2.png"><img width="500" src="examples/sierpinski/addtriangle2.png" /></a>
</p>

<p>
The transformation files and the Java source code are available in the examples plug-in in the <a href="http://git.eclipse.org/c/henshin/org.eclipse.emft.henshin.git/tree/plugins/org.eclipse.emf.henshin.examples/src/org/eclipse/emf/henshin/examples/sierpinski/">sierpinski</a> package.
</p>

<p>
The following benchmark was conducted on a Intel(R) Xeon(R) CPU @ 2.50GHz with 8GB of main memory using Henshin 0.9.2.
The parameters for the benchmark were automatically set using a script. All times are in milliseconds.
</p>

<table>
<tbody>

<tr>
<th>&nbsp; Level &nbsp;</th>
<th>&nbsp; Rule applications &nbsp;</th>
<th>&nbsp; Nodes &nbsp;</th>
<th>&nbsp; Matching Time &nbsp;</th>
<th>&nbsp; Application Time &nbsp;</th>
<th>&nbsp; Total Time &nbsp;</th>
</tr>


<tr>
<td>1</td>
<td>1</td>
<td>6</td>
<td>0ms</td>
<td>1ms</td>
<td>1ms</td>
</tr>

<tr>
<td>2</td>
<td>3</td>
<td>15</td>
<td>1ms</td>
<td>1ms</td>
<td>2ms</td>
</tr>

<tr>
<td>3</td>
<td>9</td>
<td>42</td>
<td>1ms</td>
<td>3ms</td>
<td>4ms</td>
</tr>

<tr>
<td>4</td>
<td>27</td>
<td>123</td>
<td>4ms</td>
<td>8ms</td>
<td>12ms</td>
</tr>

<tr>
<td>5</td>
<td>81</td>
<td>366</td>
<td>13ms</td>
<td>27ms</td>
<td>40ms</td>
</tr>

<tr>
<td>6</td>
<td>243</td>
<td>1,095</td>
<td>37ms</td>
<td>67ms</td>
<td>104ms</td>
</tr>

<tr>
<td>7</td>
<td>729</td>
<td>3,282</td>
<td>73ms</td>
<td>158ms</td>
<td>231ms</td>
</tr>

<tr>
<td>8</td>
<td>2,187</td>
<td>9,843</td>
<td>125ms</td>
<td>195ms</td>
<td>320ms</td>
</tr>

<tr>
<td>9</td>
<td>6,561</td>
<td>29,526</td>
<td>107ms</td>
<td>231ms</td>
<td>338ms</td>
</tr>

<tr>
<td>10</td>
<td>19,683</td>
<td>88,575</td>
<td>185ms</td>
<td>219ms</td>
<td>404ms</td>
</tr>

<tr>
<td>11</td>
<td>59,049</td>
<td>265,722</td>
<td>441ms</td>
<td>723ms</td>
<td>1,164ms</td>
</tr>

<tr>
<td>12</td>
<td>177,147</td>
<td>797,163</td>
<td>1,309ms</td>
<td>2,500ms</td>
<td>3,809ms</td>
</tr>

<tr>
<td>13</td>
<td>531,441</td>
<td>2,391,486</td>
<td>3,627ms</td>
<td>9,944ms</td>
<td>13,571ms</td>
</tr>

<tr>
<td>14</td>
<td>1,594,323</td>
<td>7,174,455&nbsp;</td>
<td>14,609ms</td>
<td>117,470ms</td>
<td>132,079ms</td>
</tr>

</tbody>
</table>