1. 30 Oct, 2017 1 commit
  2. 16 Oct, 2017 1 commit
    • Pavel Kus's avatar
      re-enabled some C tests · 89b67dd2
      Pavel Kus authored
      both fortran and C tests generated in generate_automake_test_programs.py
      linker flags added by hand -- FIX this
  3. 03 Sep, 2017 1 commit
  4. 01 Sep, 2017 1 commit
  5. 29 Aug, 2017 1 commit
  6. 26 Aug, 2017 1 commit
    • Pavel Kus's avatar
      analytic test for complex case · 3513aec8
      Pavel Kus authored
      taking into account, that computed eigenvectors can be arbitrarily
      "rotated" by multiplying by complex number. Hopefully dealt with in
      a robust way. Enabling analytic complex double and single
  7. 25 Aug, 2017 1 commit
    • Pavel Kus's avatar
      templating test_analytic · 15a6cbc3
      Pavel Kus authored
      test analytic has been transformed to template to allow all
      real/complex and single/double variants. However, at this
      commit, only real double and real single variants are enabled
  8. 24 Aug, 2017 1 commit
  9. 21 Aug, 2017 1 commit
  10. 18 Aug, 2017 2 commits
  11. 17 Aug, 2017 3 commits
  12. 10 Aug, 2017 2 commits
  13. 31 Jul, 2017 1 commit
  14. 30 Jul, 2017 1 commit
    • Lorenz Huedepohl's avatar
      Loop over all possible domain decompositions · fabb1c42
      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 column-major 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.
  15. 18 Jul, 2017 3 commits
  16. 17 Jul, 2017 2 commits
    • Pavel Kus's avatar
      Introducing analytical test · 8a9c9df1
      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
      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's avatar
      Test "eigenvalues" and "solve_tridiagonal" · dde98bdb
      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
  17. 07 Jul, 2017 1 commit
  18. 03 Jul, 2017 1 commit
  19. 12 Jun, 2017 1 commit
  20. 01 Jun, 2017 2 commits