1. 30 Aug, 2015 2 commits
  2. 28 Aug, 2015 1 commit
    • Médéric Boquien's avatar
      We rely on OrderedDict to keep the order of the parameters. However given the... · 14b34462
      Médéric Boquien authored
      We rely on OrderedDict to keep the order of the parameters. However given the way the code is structured currently, there is really no reason for this. So let's just switch to the standard dictionary. This has two advantages. First the standard dictionary is much faster than OrderedDict (implemented in C rather than in pure python). Then, standard dictionaries are marshalable, which makes them usable as keys for other dictionaries.
      14b34462
  3. 24 May, 2015 1 commit
  4. 20 Jul, 2014 1 commit
  5. 02 Jul, 2014 1 commit
  6. 19 Jun, 2014 1 commit
  7. 06 Jun, 2014 1 commit
  8. 14 May, 2014 1 commit
  9. 07 May, 2014 2 commits
  10. 06 May, 2014 1 commit
  11. 21 Apr, 2014 1 commit
  12. 14 Apr, 2014 1 commit
  13. 29 Mar, 2014 4 commits
  14. 28 Mar, 2014 1 commit
  15. 23 Mar, 2014 1 commit
    • Médéric Boquien's avatar
      Improve memory management. Several techniques are used. First, we use arrays... · 83e13558
      Médéric Boquien authored
      Improve memory management. Several techniques are used. First, we use arrays in shared memory when computing the SEDs (this should also be done for the analysis later). This avoids using temporary objects that have to be sent back into a list from pool.starmap. Second, we do not save the sed.info data until the best sed has been computed. Only then we recompute the SED to get the info. Third, the list of changed parameters for cache cleaning was too big. It contained the key and the value of the changed parameter to identify models to be discarded. Now we simply return an array of integers giving the index of the module to be discarded. Much simpler, much smaller. There are also some small improvements here and there that I probably forget. The main culprit now is by far the list of parameters. It gets horribly big. 3.5 GB for 30M models. Anyway, now pcigale runs with 30M models.
      83e13558
  16. 20 Mar, 2014 1 commit
  17. 11 Mar, 2014 4 commits
  18. 06 Mar, 2014 1 commit
  19. 19 Feb, 2014 2 commits
  20. 18 Feb, 2014 1 commit