Everyone:
I'm trying to read a production .op2 file that is 362 MB large and it crashes after taking about 2GB of memory on my 8GB laptop running python(x,y). It has four subcases in it and lots of cquad4 stress output.
I'm going to load a 64 bit python and see if that solves the problem, but I'm afraid that I'll run out of room on my laptop when I use larger output files. I have a couple of questions:
1) Is there a recommended 64 bit version of python to install (are there more than one?)
2) What is the pyNastran strategy for dealing with memory restricted computers? Can we swap to disk, use a database file?
3) Is there a known relationship between output file size and memory requirements? For both op2 and bdf.
Thanks.
-ejr
-- Eric J. Roulo
Owner, Roulo Consulting, Inc.
Engineering Analysis, Design, & Training