aboutsummaryrefslogtreecommitdiffhomepage
path: root/bench/sparse_randomsetter.cpp
blob: c433742120cdff785aa8197972a4bbbdcbed60ee (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126

#define NOGMM
#define NOMTL
#define EIGEN_GOOGLEHASH_SUPPORT 1

#include <map>
#include <ext/hash_map>
#include <google/dense_hash_map>
#include <google/sparse_hash_map>

#ifndef SIZE
#define SIZE 10000
#endif

#ifndef DENSITY
#define DENSITY 0.01
#endif

#ifndef REPEAT
#define REPEAT 1
#endif

#include "BenchSparseUtil.h"

#ifndef MINDENSITY
#define MINDENSITY 0.0004
#endif

#ifndef NBTRIES
#define NBTRIES 10
#endif

#define BENCH(X) \
  timer.reset(); \
  for (int _j=0; _j<NBTRIES; ++_j) { \
    timer.start(); \
    for (int _k=0; _k<REPEAT; ++_k) { \
        X  \
  } timer.stop(); }


static double rtime;
static double nentries;

template<typename SetterType>
void dostuff(const char* name, EigenSparseMatrix& sm1)
{
  int rows = sm1.rows();
  int cols = sm1.cols();
  sm1.setZero();
  BenchTimer t;
  SetterType* set1 = new SetterType(sm1);
  t.reset(); t.start();
  for (int k=0; k<nentries; ++k)
    (*set1)(internal::random<int>(0,rows-1),internal::random<int>(0,cols-1)) += 1;
  t.stop();
  std::cout << "std::map =>      \t" << t.value()-rtime
            << " nnz=" << set1->nonZeros() << std::flush;

  // getchar();

  t.reset(); t.start(); delete set1; t.stop();
  std::cout << "  back: \t" << t.value() << "\n";
}
    
int main(int argc, char *argv[])
{
  int rows = SIZE;
  int cols = SIZE;
  float density = DENSITY;

  EigenSparseMatrix sm1(rows,cols), sm2(rows,cols);


  nentries = rows*cols*density;
  std::cout << "n = " << nentries << "\n";
  int dummy;
  BenchTimer t;

  t.reset(); t.start();
  for (int k=0; k<nentries; ++k)
    dummy = internal::random<int>(0,rows-1) + internal::random<int>(0,cols-1);
  t.stop();
  rtime = t.value();
  std::cout << "rtime = " << rtime << " (" << dummy << ")\n\n";
  const int Bits = 6;
  for (;;)
  {
    dostuff<RandomSetter<EigenSparseMatrix,StdMapTraits,Bits> >("std::map     ", sm1);
    dostuff<RandomSetter<EigenSparseMatrix,GnuHashMapTraits,Bits> >("gnu::hash_map", sm1);
    dostuff<RandomSetter<EigenSparseMatrix,GoogleDenseHashMapTraits,Bits> >("google::dense", sm1);
    dostuff<RandomSetter<EigenSparseMatrix,GoogleSparseHashMapTraits,Bits> >("google::sparse", sm1);

//     {
//       RandomSetter<EigenSparseMatrix,GnuHashMapTraits,Bits> set1(sm1);
//       t.reset(); t.start();
//       for (int k=0; k<n; ++k)
//         set1(internal::random<int>(0,rows-1),internal::random<int>(0,cols-1)) += 1;
//       t.stop();
//       std::cout << "gnu::hash_map => \t" << t.value()-rtime
//                 << " nnz=" << set1.nonZeros() << "\n";getchar();
//     }
//     {
//       RandomSetter<EigenSparseMatrix,GoogleDenseHashMapTraits,Bits> set1(sm1);
//       t.reset(); t.start();
//       for (int k=0; k<n; ++k)
//         set1(internal::random<int>(0,rows-1),internal::random<int>(0,cols-1)) += 1;
//       t.stop();
//       std::cout << "google::dense => \t" << t.value()-rtime
//                 << " nnz=" << set1.nonZeros() << "\n";getchar();
//     }
//     {
//       RandomSetter<EigenSparseMatrix,GoogleSparseHashMapTraits,Bits> set1(sm1);
//       t.reset(); t.start();
//       for (int k=0; k<n; ++k)
//         set1(internal::random<int>(0,rows-1),internal::random<int>(0,cols-1)) += 1;
//       t.stop();
//       std::cout << "google::sparse => \t" << t.value()-rtime
//                 << " nnz=" << set1.nonZeros() << "\n";getchar();
//     }
    std::cout << "\n\n";
  }

  return 0;
}