 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.

 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 4 commits


Andreas Marek authored

Andreas Marek authored

Lorenz Huedepohl authored

Lorenz Huedepohl authored

 04 Jul, 2017 1 commit


Andreas Marek authored
In case of GPU build it is NOT sufficient to loop over all kernels: For the GPU kernels one must ALSO set that GPUs should be used

 03 Jul, 2017 1 commit


Lorenz Huedepohl authored

 26 Jun, 2017 1 commit


Andreas Marek authored

 02 Jun, 2017 1 commit


Lorenz Huedepohl authored

 01 Jun, 2017 1 commit


Lorenz Huedepohl authored
 Remove all use of ELPA internal modules, the test programs now only use the public ELPA API. This is now enforced, by hiding the private modules  Prefix all test internal modules with "test_" to make it really clear that these modules are not to be used by users.

 30 May, 2017 1 commit


Andreas Marek authored
The public "solve" method has been renamed "eigenvectors" since it computes the eigenvalues and (at least parts of) the eigenvectors Another routine "eigenvalues" will just compute the eigenvalues

 22 May, 2017 2 commits


Lorenz Huedepohl authored

Lorenz Huedepohl authored
This is a bit cumbersome, as it involves yet another abstract intermediate type, but necessary due to language limitations.

 16 May, 2017 3 commits


Lorenz Huedepohl authored
The legacy API is has been (internally) ported to use the new interface. The intent is that users of the legacy API do not have to change their codes. Next step is to completely adapt the .gitlabci.yml file

Lorenz Huedepohl authored
Still missing is the compatibility layer, currently it only compiles when configure is called with disablelegacy Also, a more general solution to parameter passing via environment variables would be nice.

Lorenz Huedepohl authored

 28 Apr, 2017 1 commit


Pavel Kus authored

 20 Apr, 2017 1 commit


Andreas Marek authored
