 07 Nov, 2017 3 commits


Pavel Kus authored

Pavel Kus authored

Pavel Kus authored
This test was wrong, it was computing A * A^T instead of A^T * A. The latter is correct since our implementation of Cholesky decomposition stores the triangular matrix in the upper triangle The test was passing only because the Cholesky decomposition was tested with diagonal matrix only, than this does not matter.

 30 Oct, 2017 1 commit


Pavel Kus authored

 25 Oct, 2017 3 commits
 11 Sep, 2017 2 commits


Andreas Marek authored

Andreas Marek authored
But allow this in cholesky and hermitian multiply test

 10 Sep, 2017 1 commit


Andreas Marek authored

 09 Sep, 2017 2 commits


Andreas Marek authored

Andreas Marek authored
It is planned to add another matrix type for the tests. The names of the prepare routines have become a bit inconsistent and confusing. Thus the rename

 03 Sep, 2017 2 commits
 01 Sep, 2017 2 commits
 24 Aug, 2017 1 commit


Andreas Marek authored

 21 Aug, 2017 2 commits


Andreas Marek authored

Andreas Marek authored

 18 Aug, 2017 2 commits


Andreas Marek authored

Andreas Marek authored

 17 Aug, 2017 3 commits


Andreas Marek authored

Andreas Marek authored

Andreas Marek authored

 10 Aug, 2017 2 commits


Lorenz Huedepohl authored
with obvious meaning

Pavel Kus authored
for easier comparisons of elpa and mkl, a test case using scalapack function pdsyevd has been added

 05 Aug, 2017 1 commit


Andreas Marek authored

 03 Aug, 2017 1 commit


Andreas Marek authored

 01 Aug, 2017 1 commit


Andreas Marek authored

 31 Jul, 2017 1 commit


Lorenz Huedepohl authored

 30 Jul, 2017 1 commit


Lorenz Huedepohl authored
We got reports from a user that there were troubles with certain domain decompositions. So far the tests only looked at (approximately) square decompositions in columnmajor process order. Now, a new class of tests loops over all possible decompositions (row * col) for a given number of total tasks. So far, we can not confirm that there are any problems, all possibilities work as expected.

 29 Jul, 2017 1 commit


Pavel Kus authored
matrices of dimension of the form 2^n * 3^m * 5^m are now allowed. For other matrix sizes, the test is terminated. Matrix size is not modified, as it has been the case before

 27 Jul, 2017 1 commit


Andreas Marek authored

 25 Jul, 2017 1 commit


Lorenz Huedepohl authored

 20 Jul, 2017 1 commit


Pavel Kus authored
Previously we checked ortonormality of eigenvectors by comparing the matrix S^T * S to identity matrix. The new feature is also checking just the diagonal of the matrix S^T * S. By that we get the information, how far are the eigenvectors from having length 1. If it turns out to be important, we could try to normalize them at the end of elpa, which is simple (in contrast with enforcing better orthogonality).

 18 Jul, 2017 5 commits


Andreas Marek authored

Andreas Marek authored

Andreas Marek authored

Andreas Marek authored

Andreas Marek authored
The functions in elpa_utilities are considered "ELPA internal", i.e. the should not be accessible by the users and thus not be part of the API.
