diff options
-rw-r--r-- | bench/BenchSparseUtil.h | 9 | ||||
-rw-r--r-- | bench/sparse_setter.cpp | 224 |
2 files changed, 233 insertions, 0 deletions
diff --git a/bench/BenchSparseUtil.h b/bench/BenchSparseUtil.h index b82356769..8319fa5ce 100644 --- a/bench/BenchSparseUtil.h +++ b/bench/BenchSparseUtil.h @@ -91,5 +91,14 @@ void eiToCSparse(const EigenSparseMatrix& src, cs* &dst) dst = cs_compress(aux); // cs_spfree(aux); } +#endif // CSPARSE + +#ifndef NOUBLAS +#include <boost/numeric/ublas/vector.hpp> +#include <boost/numeric/ublas/matrix.hpp> +#include <boost/numeric/ublas/io.hpp> +#include <boost/numeric/ublas/triangular.hpp> +#include <boost/numeric/ublas/vector_sparse.hpp> +#include <boost/numeric/ublas/matrix_sparse.hpp> #endif diff --git a/bench/sparse_setter.cpp b/bench/sparse_setter.cpp new file mode 100644 index 000000000..90112954f --- /dev/null +++ b/bench/sparse_setter.cpp @@ -0,0 +1,224 @@ + +//g++ -O3 -g0 -DNDEBUG sparse_product.cpp -I.. -I/home/gael/Coding/LinearAlgebra/mtl4/ -DDENSITY=0.005 -DSIZE=10000 && ./a.out +//g++ -O3 -g0 -DNDEBUG sparse_product.cpp -I.. -I/home/gael/Coding/LinearAlgebra/mtl4/ -DDENSITY=0.05 -DSIZE=2000 && ./a.out +// -DNOGMM -DNOMTL -DCSPARSE +// -I /home/gael/Coding/LinearAlgebra/CSparse/Include/ /home/gael/Coding/LinearAlgebra/CSparse/Lib/libcsparse.a +#ifndef SIZE +#define SIZE 300000 +#endif + +#ifndef NBPERROW +#define NBPERROW 12 +#endif + +#ifndef REPEAT +#define REPEAT 1 +#endif + +#define EIGEN_GOOGLEHASH_SUPPORT +#include <google/sparse_hash_map> +#include "BenchSparseUtil.h" + + +#define BENCH(X) \ + timer.reset(); \ + for (int _j=0; _j<NBTRIES; ++_j) { \ + timer.start(); \ + for (int _k=0; _k<REPEAT; ++_k) { \ + X \ + } timer.stop(); } + +typedef std::vector<Vector2i> Coordinates; +typedef std::vector<float> Values; + +EIGEN_DONT_INLINE Scalar* setrand_eigen_gnu_hash(const Coordinates& coords, const Values& vals); +EIGEN_DONT_INLINE Scalar* setrand_eigen_google_dense(const Coordinates& coords, const Values& vals); +EIGEN_DONT_INLINE Scalar* setrand_eigen_google_sparse(const Coordinates& coords, const Values& vals); +EIGEN_DONT_INLINE Scalar* setrand_ublas_mapped(const Coordinates& coords, const Values& vals); +EIGEN_DONT_INLINE Scalar* setrand_ublas_coord(const Coordinates& coords, const Values& vals); +EIGEN_DONT_INLINE Scalar* setrand_ublas_compressed(const Coordinates& coords, const Values& vals); +EIGEN_DONT_INLINE Scalar* setrand_mtl(const Coordinates& coords, const Values& vals); + +int main(int argc, char *argv[]) +{ + int rows = SIZE; + int cols = SIZE; + //float density = float(NBPERROW)/float(SIZE); + + BenchTimer timer; + Coordinates coords; + Values values; + for (int i=0; i<cols*NBPERROW; ++i) + { + coords.push_back(Vector2i(ei_random<int>(0,rows-1),ei_random<int>(0,cols-1))); + values.push_back(ei_random<Scalar>()); + } + std::cout << "nnz = " << coords.size() << "\n"; + + // dense matrices + #ifdef DENSEMATRIX + { + timer.reset(); + timer.start(); + for (int k=0; k<REPEAT; ++k) + setrand_eigen_dense(coords,values); + timer.stop(); + std::cout << "Eigen Dense\t" << timer.value() << "\n"; + } + #endif + + // eigen sparse matrices + { + timer.reset(); + timer.start(); + for (int k=0; k<REPEAT; ++k) + setrand_eigen_gnu_hash(coords,values); + timer.stop(); + std::cout << "Eigen gnu hashmap\t" << timer.value() << "\n"; + } + { + timer.reset(); + timer.start(); + for (int k=0; k<REPEAT; ++k) + setrand_eigen_google_dense(coords,values); + timer.stop(); + std::cout << "Eigen google dense\t" << timer.value() << "\n"; + } + { + timer.reset(); + timer.start(); + for (int k=0; k<REPEAT; ++k) + setrand_eigen_google_sparse(coords,values); + timer.stop(); + std::cout << "Eigen google sparse\t" << timer.value() << "\n"; + } + + #ifndef NOUBLAS + { + timer.reset(); + timer.start(); + for (int k=0; k<REPEAT; ++k) + setrand_ublas_mapped(coords,values); + timer.stop(); + std::cout << "ublas mapped\t" << timer.value() << "\n"; + } + { + timer.reset(); + timer.start(); + for (int k=0; k<REPEAT; ++k) + setrand_ublas_compressed(coords,values); + timer.stop(); + std::cout << "ublas comp\t" << timer.value() << "\n"; + } + { + timer.reset(); + timer.start(); + for (int k=0; k<REPEAT; ++k) + setrand_ublas_coord(coords,values); + timer.stop(); + std::cout << "ublas coord\t" << timer.value() << "\n"; + } + #endif + + + // MTL4 + #ifndef NOMTL + { + timer.reset(); + timer.start(); + for (int k=0; k<REPEAT; ++k) + setrand_mtl(coords,values); + timer.stop(); + std::cout << "MTL\t" << timer.value() << "\n"; + } + #endif + + return 0; +} + +EIGEN_DONT_INLINE Scalar* setrand_eigen_gnu_hash(const Coordinates& coords, const Values& vals) +{ + using namespace Eigen; + SparseMatrix<Scalar> mat(SIZE,SIZE); + { + RandomSetter<SparseMatrix<Scalar>, StdMapTraits > setter(mat); + for (int i=0; i<coords.size(); ++i) + { + setter(coords[i].x(), coords[i].y()) = vals[i]; + } +// std::cout << "check mem\n"; getchar(); + } + return 0;//&mat.coeffRef(coords[0].x(), coords[0].y()); +} + +EIGEN_DONT_INLINE Scalar* setrand_eigen_google_dense(const Coordinates& coords, const Values& vals) +{ + using namespace Eigen; + SparseMatrix<Scalar> mat(SIZE,SIZE); + { + RandomSetter<SparseMatrix<Scalar>, GoogleDenseHashMapTraits> setter(mat); + for (int i=0; i<coords.size(); ++i) + setter(coords[i].x(), coords[i].y()) = vals[i]; +// std::cout << "check mem\n"; getchar(); + } + return 0;//&mat.coeffRef(coords[0].x(), coords[0].y()); +} + +EIGEN_DONT_INLINE Scalar* setrand_eigen_google_sparse(const Coordinates& coords, const Values& vals) +{ + using namespace Eigen; + SparseMatrix<Scalar> mat(SIZE,SIZE); + { + RandomSetter<SparseMatrix<Scalar>, GoogleSparseHashMapTraits> setter(mat); + for (int i=0; i<coords.size(); ++i) + setter(coords[i].x(), coords[i].y()) = vals[i]; +// std::cout << "check mem\n"; getchar(); + } + return 0;//&mat.coeffRef(coords[0].x(), coords[0].y()); +} +#ifndef NOUBLAS +EIGEN_DONT_INLINE Scalar* setrand_ublas_mapped(const Coordinates& coords, const Values& vals) +{ + using namespace boost; + using namespace boost::numeric; + using namespace boost::numeric::ublas; + mapped_matrix<Scalar> aux(SIZE,SIZE); + for (int i=0; i<coords.size(); ++i) + { + aux(coords[i].x(), coords[i].y()) = vals[i]; + } +// std::cout << "check mem\n"; getchar(); + compressed_matrix<Scalar> mat(aux); + return 0;// &mat(coords[0].x(), coords[0].y()); +} +EIGEN_DONT_INLINE Scalar* setrand_ublas_coord(const Coordinates& coords, const Values& vals) +{ + using namespace boost; + using namespace boost::numeric; + using namespace boost::numeric::ublas; + coordinate_matrix<Scalar> aux(SIZE,SIZE); + for (int i=0; i<coords.size(); ++i) + { + aux(coords[i].x(), coords[i].y()) = vals[i]; + } + compressed_matrix<Scalar> mat(aux); + return 0;//&mat(coords[0].x(), coords[0].y()); +} +EIGEN_DONT_INLINE Scalar* setrand_ublas_compressed(const Coordinates& coords, const Values& vals) +{ + using namespace boost; + using namespace boost::numeric; + using namespace boost::numeric::ublas; + compressed_matrix<Scalar> mat(SIZE,SIZE); + for (int i=0; i<coords.size(); ++i) + { + mat(coords[i].x(), coords[i].y()) = vals[i]; + } + return 0;//&mat(coords[0].x(), coords[0].y()); +} +#endif + +#ifndef NOMTL +EIGEN_DONT_INLINE void setrand_mtl(const Coordinates& coords, const Values& vals); +#endif + |