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sparse_randomsetter.cpp
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Thu, Feb 20, 22:52
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Sat, Feb 22, 22:52 (2 d)
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rDLMA Diffusion limited mixed aggregation
sparse_randomsetter.cpp
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#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;
}
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