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added performance figures in the doc

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Iordan Iordanov 2018-12-05 07:53:07 +01:00
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Hyperbolic_triangulation_2/doc/Hyperbolic_triangulation_2/Hyperbolic_triangulation_2.txt
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@ -131,6 +131,43 @@ are inserted and the filtering is done once at the end.
The example below shows how user-defined info can be added to the hyperbolic faces. The example below shows how user-defined info can be added to the hyperbolic faces.
\cgalExample{Hyperbolic_triangulation_2/ht2_example_color.cpp} \cgalExample{Hyperbolic_triangulation_2/ht2_example_color.cpp}
\section HT2_Performance Performance
We have measured the insertion execution time of our implementation
with both traits classes `CGAL::Hyperbolic_Delaunay_triangulation_CK_traits_2`
and `CGAL::Hyperbolic_Delaunay_triangulation_traits_2` with their default template
parameters against the insertion time in a Euclidean \cgal triangulation.
We generate 1 million random points, uniformly distributed in the unit disk with respect
to the Euclidean metric. We insert the same set of points in three triangulations:
<ul>
<li> a hyperbolic Delaunay triangulation with `CGAL::Hyperbolic_Delaunay_triangulation_CK_traits_2<>` as traits class;
<li> a hyperbolic Delaunay triangulation with `CGAL::Hyperbolic_Delaunay_triangulation_traits_2<>` as traits class;
<li> a Euclidean Delaunay triangulation with `CGAL::Exact_predicates_inexact_constructions_kernel` as traits class.
</ul>
We create two instances of each type of triangulation. In one instance we insert the points one by one, which causes
non-hyperbolic faces to be filtered out at each insertion. In the other instance we insert the points via iterator
input, which causes non-hyperbolic faces to be filtered only once, after all points have been inserted. We report
results averaged over 10 executions of this experiment in \ref HT2_Table_1 "Table 1" below. The experiments have been
executed on two machines:
<ul>
<li> <b>Machine 1:</b> MacBook Pro (2015), CPU: Intel Core i5 @ 2.9 GHz, RAM: 16 GB @ 1867 MHz, OS: Mac OS X (10.10.5), Compiler: gcc version 7.3.0;
<li> <b>Machine 2:</b> Dell Vostro 5471 (2018), CPU: Intel Core i5 @ 1.6 GHZ (up to 3.4 GHz in TurboMode), RAM: 8GB @ 2400 MHz, OS: Ubuntu 18.04 (kernel 4.15.0), Compiler: gcc version 7.3.0.
</ul>
<center>
\anchor HT2_Table_1
<table>
<caption>Table 1: Comparison of insertion times of 1 million random points</caption>
<tr><th> %Triangulation type <th colspan="2"> Machine 1 <th colspan="2"> Machine 2
<tr><td> <td> Sequential insertion <td> %Iterator insertion <td> Sequential insertion <td> %Iterator insertion
<tr><td> Hyperbolic (General traits) <td> 955 sec. <td> 23 sec. <td> 884 sec. <td> 20 sec.
<tr><td> Hyperbolic (CK traits) <td> 330 sec. <td> 1 sec. <td> 289 sec. <td> 1 sec.
<tr><td> Euclidean (%Cartesian traits) <td> 131 sec. <td> < 1 sec. <td> 114 sec. <td> < 1 sec.
</table>
</center>
\section HT2_Design Design and Implementation History \section HT2_Design Design and Implementation History
This package implements the algorithms for computing Delaunay complexes This package implements the algorithms for computing Delaunay complexes