devtools/eigen
1
0
Fork 0
mirror of https://gitlab.com/libeigen/eigen.git synced 2026-04-10 11:34:33 +08:00
Code Issues Packages Projects Releases Wiki Activity

* Fix some complex alignment issues in the cache friendly matrix-vector products.

Browse Source 
* Minor update of the cores of the Cholesky algorithms to make them more friendly
  wrt to matrix-vector products => speedup x5 !
This commit is contained in:
Gael Guennebaud
2008-07-23 17:30:00 +00:00
parent 172000aaeb
commit b466c266a0
4 changed files with 93 additions and 48 deletions
Download Patch File Download Diff File Expand all files Collapse all files

22
bench/benchCholesky.cpp
View File

@@ -34,7 +34,7 @@ __attribute__ ((noinline)) void benchCholesky(const MatrixType& m)
typedef typename MatrixType::Scalar Scalar;
typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime> SquareMatrixType;
MatrixType a = MatrixType::random(rows,cols);
MatrixType a = MatrixType::Random(rows,cols);
SquareMatrixType covMat = a * a.adjoint();
BenchTimer timerNoSqrt, timerSqrt;
@@ -108,7 +108,7 @@ __attribute__ ((noinline)) void benchCholesky(const MatrixType& m)
int main(int argc, char* argv[])
{
const int dynsizes[] = {4,6,8,12,16,24,32,64,128,256,512,0};
const int dynsizes[] = {/*4,6,8,12,16,24,32,49,64,67,128,129,130,131,132,*/256,257,258,259,260,512,0};
std::cout << "size no sqrt standard";
#ifdef BENCH_GSL
std::cout << " GSL (standard + double + ATLAS) ";
@@ -118,15 +118,15 @@ int main(int argc, char* argv[])
for (uint i=0; dynsizes[i]>0; ++i)
benchCholesky(Matrix<Scalar,Dynamic,Dynamic>(dynsizes[i],dynsizes[i]));
benchCholesky(Matrix<Scalar,2,2>());
benchCholesky(Matrix<Scalar,3,3>());
benchCholesky(Matrix<Scalar,4,4>());
benchCholesky(Matrix<Scalar,5,5>());
benchCholesky(Matrix<Scalar,6,6>());
benchCholesky(Matrix<Scalar,7,7>());
benchCholesky(Matrix<Scalar,8,8>());
benchCholesky(Matrix<Scalar,12,12>());
benchCholesky(Matrix<Scalar,16,16>());
// benchCholesky(Matrix<Scalar,2,2>());
// benchCholesky(Matrix<Scalar,3,3>());
// benchCholesky(Matrix<Scalar,4,4>());
// benchCholesky(Matrix<Scalar,5,5>());
// benchCholesky(Matrix<Scalar,6,6>());
// benchCholesky(Matrix<Scalar,7,7>());
// benchCholesky(Matrix<Scalar,8,8>());
// benchCholesky(Matrix<Scalar,12,12>());
// benchCholesky(Matrix<Scalar,16,16>());
return 0;
}