Hello. I did a bit of measurments using various techniques and pypy-c-64bit-jit and the outcome is that after a bit of annotation, where memory consumption is 1200M, we get:
* 31M of mmaped code blocks for assembler * about 150M I can account for that is jit resume data * about 150M of the rest I can account for. Where is everything else? Can GC trash some memory (like a lot). Here is output of dump.py -r http://codespeak.net/~fijal/jit64.out _______________________________________________ pypy-dev@codespeak.net http://codespeak.net/mailman/listinfo/pypy-dev
