eigen/bench/benchmark.cpp
Benoit Jacob 2a86f052a5 - optimized determinant calculations for small matrices (size <= 4)
(only 30 muls for size 4)
- rework the matrix inversion: now using cofactor technique for size<=3,
  so the ugly unrolling is only used for size 4 anymore, and even there
  I'm looking to get rid of it.
2008-04-14 17:07:12 +00:00

37 lines
736 B
C++

// g++ -O3 -DNDEBUG -DMATSIZE=<x> benchmark.cpp -o benchmark && time ./benchmark
#include <Eigen/Core>
#ifndef MATSIZE
#define MATSIZE 3
#endif
using namespace std;
USING_PART_OF_NAMESPACE_EIGEN
#ifndef REPEAT
#define REPEAT 40000000
#endif
#ifndef SCALAR
#define SCALAR double
#endif
int main(int argc, char *argv[])
{
Matrix<SCALAR,MATSIZE,MATSIZE> I = Matrix<SCALAR,MATSIZE,MATSIZE>::ones();
Matrix<SCALAR,MATSIZE,MATSIZE> m;
for(int i = 0; i < MATSIZE; i++)
for(int j = 0; j < MATSIZE; j++)
{
m(i,j) = (i+MATSIZE*j);
}
asm("#begin");
for(int a = 0; a < REPEAT; a++)
{
m = I + 0.00005 * (m + m*m);
}
asm("#end");
cout << m << endl;
return 0;
}