 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

 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.

 18 Jul, 2017 3 commits


Andreas Marek authored

Lorenz Huedepohl authored
The module is intended to be hidden, thus I moved it into the public part of the legacy API. Some test programs use it, thus the test programs have now also access to ELPA's private modules. This is of course anyway necessary to test ELPA internals that are not exposed via the public API.

Andreas Marek authored

 17 Jul, 2017 2 commits


Pavel Kus authored
Introducing new test in which matrix and its eigendecomposition is known and thus can be easily created and checked directly, without the need to use scalapack or any other communication (apart from reducing error). The test is based on the fact, that if L_A and S_A are eigenvalues and eigenvectors of matrix A, respectively, and L_B and S_B eigenvalues and eigenvectors of B, then kron(L_A, L_B) and kron (S_A, S_B) are eigenvalues and eigenvectors of kron(A, B). Since it is easy to know exact eigendecomposition of a small matrix (e.g. 2x2), and kron operator has very simple structure, we can construct arbitrarily large matrix and its eigendecomposition. We only have to select small matrices such that the resulting matrix has unique and ordered eigenvalues, so that the checking of the result is than easy. Each element of matrix, eigenvector matrix and eigenvalue vector can be quickly computed independently, just using its global coordinates. The test is currently limited to matrices of size 2^n, but by storing eigendecompositions of more small matrices (e.g. 3x3 and 5x5) we could construct any matrix of size 2^n*3^m*5^o, which would probably be sufficient, since most often used sizes (150, 1000, 5000, 2000, 60000) are of this form.

Andreas Marek authored
The routines "eigenvalues" and "solve_tridiagonal" are now also tested directly with the new API (and not only via the legacy API > new API mapping) Todo: adapt test generator script to contain some logic

 07 Jul, 2017 1 commit


Lorenz Huedepohl authored

 03 Jul, 2017 1 commit


Lorenz Huedepohl authored

 12 Jun, 2017 1 commit


Lorenz Huedepohl authored

 01 Jun, 2017 2 commits


Lorenz Hüdepohl authored

Lorenz Huedepohl authored
Most of the test programs for the new interface were all essentially copy&pasted from test.F90, now all of those directly use test.F90 with appropriate preprocessor flags
