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Subject: [Boost-users] [polygon] Quadratic performance when handling any angle polygons
From: Josh Pieper (jpieper_at_[hidden])
Date: 2011-01-19 11:23:25
Hello,
First: we are using boost 1.45.0 with gcc -O3 on Ubuntu 10.04. (Although
similar problems appear with VS2008 on Windows 7).
We have been observing performance with boost::polygon that is significantly
worse than we were expecting when working with any angle polygons. Namely
quadratic instead of the expected O(n log n). While profiling, I noticed
that most of the time is spent in the overload of
line_intersection::validate_scan at detail/scan_arbitrary.hpp:154 which is
commented as: "//quadratic algorithm to do same work as optimal scan for
cross checking".
I have inlined our test program below, and some performance results measured
by instruction count under "valgrind --tool=callgrind". Is this poor
performance because our data is degenerate, or because a vestigal quadratic
double check is still being applied?
Regards,
Josh Pieper
Performance results for n=10..110 measured in instructions to complete the
following test program:
10 2363923
20 4427849
30 8695564
40 15642559
50 25530188
60 39081335
70 57151093
80 79278939
90 107261217
100 140674559
110 164340087
--------------------------
#include <boost/lexical_cast.hpp>
#include <boost/type.hpp>
#include <boost/polygon/polygon.hpp>
#include <boost/polygon/gmp_override.hpp>
int main(int argc, char** argv) {
typedef boost::polygon::point_data<int32_t> point_type;
typedef boost::polygon::polygon_set_data<int32_t> polygon_set;
typedef polygon_set::value_type value_type;
int32_t sample_data[] = {
-15417, -53418, 0, 0, -1,
-15417, -53418, 37998, -68834, 1,
37998, -68834, 53415, -15416, 1,
0, 0, 53415, -15416, -1,
-20188, -37532, 15869, 4788, -1,
-20188, -37532, 22129, -73587, 1,
22129, -73587, 58187, -31268, 1,
15869, 4788, 58187, -31268, -1,
-12388, -58060, -4666, -3001, -1,
-12388, -58060, 42669, -65781, 1,
42669, -65781, 50390, -10722, 1,
-4666, -3001, 50390, -10722, -1,
-16452, -51370, 2015, 1078, -1,
-16452, -51370, 35988, -69834, 1,
35988, -69834, 54455, -17386, 1,
2015, 1078, 54455, -17386, -1,
-9812, -61108, -7737, -5548, -1,
-9812, -61108, 45744, -63182, 1,
45744, -63182, 47819, -7623, 1,
-7737, -5548, 47819, -7623, -1,
-19695, -27418, 25940, 4341, -1,
-19695, -27418, 12063, -73050, 1,
12063, -73050, 57697, -41291, 1,
25940, 4341, 57697, -41291, -1,
-11871, -58680, -5330, -3460, -1,
-11871, -58680, 43338, -65220, 1,
43338, -65220, 49879, -10000, 1,
-5330, -3460, 49879, -10000, -1,
-12303, -10547, -4768, -65638, 1,
-4768, -65638, 50314, -58104, 1,
42779, -3013, 50314, -58104, -1,
-12303, -10547, 42779, -3013, -1,
-10105, -60739, -7415, -5202, -1,
-10105, -60739, 45425, -63428, 1,
45425, -63428, 48115, -7891, 1,
-7415, -5202, 48115, -7891, -1,
-9937, -60912, -7600, -5360, -1,
-9937, -60912, 45609, -63249, 1,
45609, -63249, 47946, -7697, 1,
-7600, -5360, 47946, -7697, -1,
-20348, -32184, 16794, -73555, 1,
16794, -73555, 58164, -36414, 1,
21022, 4957, 58164, -36414, -1,
-20348, -32184, 21022, 4957, -1,
-10796, -8606, -6653, -64049, 1,
-6653, -64049, 48788, -59906, 1,
44644, -4463, 48788, -59906, -1,
-10796, -8606, 44644, -4463, -1,
-16263, -16858, 1613, -69511, 1,
1613, -69511, 54257, -51638, 1,
36381, 1014, 54257, -51638, -1,
-16263, -16858, 36381, 1014, -1,
-20298, -33057, 17817, -73534, 1,
17817, -73534, 58292, -35421, 1,
20177, 5056, 58292, -35421, -1,
-20298, -33057, 20177, 5056, -1,
-11941, -9961, -5271, -65159, 1,
-5271, -65159, 49923, -58490, 1,
43253, -3292, 49923, -58490, -1,
-11941, -9961, 43253, -3292, -1,
-19046, -44168, 28939, -72250, 1,
28939, -72250, 57020, -24267, 1,
9035, 3815, 57020, -24267, -1,
-19046, -44168, 9035, 3815, -1,
-10926, -8703, -6528, -64127, 1,
-6528, -64127, 48893, -59729, 1,
44495, -4305, 48893, -59729, -1,
-10926, -8703, 44495, -4305, -1,
-19113, -43924, 28699, -72304, 1,
28699, -72304, 57076, -24496, 1,
9263, 3883, 57076, -24496, -1,
-19113, -43924, 9263, 3883, -1,
-18256, -21581, 6351, -71437, 1,
6351, -71437, 56204, -46832, 1,
31598, 3024, 56204, -46832, -1,
-18256, -21581, 31598, 3024, -1,
-20282, -31991, 16756, -73456, 1,
16756, -73456, 58219, -36421, 1,
21181, 5045, 58219, -36421, -1,
-20282, -31991, 21181, 5045, -1,
-19379, -25528, 10293, -72546, 1,
10293, -72546, 57309, -42875, 1,
27637, 4143, 57309, -42875, -1,
-19379, -25528, 27637, 4143, -1,
-16209, -16633, 1396, -69371, 1,
1396, -69371, 54130, -51767, 1,
36526, 970, 54130, -51767, -1,
-16209, -16633, 36526, 970, -1,
-18570, -22483, 7245, -71726, 1,
7245, -71726, 56484, -45912, 1,
30669, 3330, 56484, -45912, -1,
-18570, -22483, 30669, 3330, -1,
-19900, -40189, 24948, -73049, 1,
24948, -73049, 57806, -28203, 1,
12958, 4657, 57806, -28203, -1,
-19900, -40189, 12958, 4657, -1,
-20322, -36011, 20774, -73460, 1,
20774, -73460, 58220, -32367, 1,
17124, 5082, 58220, -32367, -1,
-20322, -36011, 17124, 5082, -1,
-555, -68328, 53079, -53671, 1,
38424, -43, 53079, -53671, -1,
-15210, -14699, 38424, -43, -1,
-15210, -14699, -555, -68328, 1,
21671, -61840, 21718, -61835, 1,
14689, -61655, 21718, -61835, -1,
14689, -61655, 42185, -65881, 1,
42185, -65881, 50629, -10931, 1,
23134, -6705, 50629, -10931, -1,
16104, -6524, 23134, -6705, -1,
16057, -6529, 16104, -6524, -1,
16057, -6529, 21671, -61840, 1,
-7903, -63005, 47680, -60927, 1,
45602, -5370, 47680, -60927, -1,
-9981, -7449, 45602, -5370, -1,
-9981, -7449, -7903, -63005, 1,
};
value_type edge_list;
size_t num_elements = sizeof(sample_data) / (sizeof(*sample_data) * 5);
if (argc > 1) {
num_elements = std::min(num_elements,
boost::lexical_cast<size_t>(argv[1]));
}
for (size_t i = 0; i < num_elements; i++) {
value_type::value_type edge_plus;
int32_t* record = &sample_data[i * 5];
edge_plus.first.first = point_type(record[0], record[1]);
edge_plus.first.second = point_type(record[2], record[3]);
edge_plus.second = record[4];
edge_list.push_back(edge_plus);
}
polygon_set pset;
pset.set(edge_list);
pset.clean();
}
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