// g++ -I.. sparse_lu.cpp -O3 -g0 -I /usr/include/superlu/ -lsuperlu -lgfortran -DSIZE=1000 -DDENSITY=.05 && ./a.out // #define EIGEN_TAUCS_SUPPORT // #define EIGEN_CHOLMOD_SUPPORT #define EIGEN_SUPERLU_SUPPORT #include #define NOGMM #define NOMTL #ifndef SIZE #define SIZE 10 #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 VectorX; #include int main(int argc, char *argv[]) { int rows = SIZE; int cols = SIZE; float density = DENSITY; BenchTimer timer; VectorX b = VectorX::Random(cols); VectorX x = VectorX::Random(cols); bool densedone = false; //for (float density = DENSITY; density>=MINDENSITY; density*=0.5) // float density = 0.5; { EigenSparseMatrix sm1(rows, cols); fillMatrix(density, rows, cols, sm1); // dense matrices #ifdef DENSEMATRIX if (!densedone) { densedone = true; std::cout << "Eigen Dense\t" << density*100 << "%\n"; DenseMatrix m1(rows,cols); eiToDense(sm1, m1); BenchTimer timer; timer.start(); LU lu(m1); timer.stop(); std::cout << "Eigen/dense:\t" << timer.value() << endl; timer.reset(); timer.start(); lu.solve(b,&x); timer.stop(); std::cout << " solve:\t" << timer.value() << endl; // std::cout << b.transpose() << "\n"; std::cout << x.transpose() << "\n"; } #endif // eigen sparse matrices { x.setZero(); BenchTimer timer; timer.start(); SparseLU lu(sm1); timer.stop(); std::cout << "Eigen/SuperLU:\t" << timer.value() << endl; timer.reset(); timer.start(); lu.solve(b,&x); timer.stop(); std::cout << " solve:\t" << timer.value() << endl; std::cout << x.transpose() << "\n"; } } return 0; }