Continuing the discussion from Memory usage using jupyter (writing fchk):
Related to the above topic, I am dealing with some memory issues when running psi4 from jupyter. Since I am interested in using TDDFT, I am trying 1.4 version and found the module takes much more memory as compared with previous versions. Concretely, while with version 1.3.2, it only takes <100MB when importing psi4, it goes up to 600MB with version 1.4rc2.dev99. I was wondering if this is something to be expected for the stable 1.4 release or just something related to the pre-releases versions. If something inherent to 1.4 version, is there any way to deal with this in jupyter? As indicated in the previous topic, maybe using
multithreading can help also here.