Heya, Andy Wingo <wi...@pobox.com> skribis:
>> Also, for reference, loading python.go peaks at 315M RSS: >> >> $ \time ./pre-inst-env guile -c '(use-modules (gnu packages python))' >> 0.18user 0.02system 0:00.18elapsed 112%CPU (0avgtext+0avgdata >> 315648maxresident)k >> 0inputs+0outputs (0major+7784minor)pagefaults 0swaps > > But this I don't understand. If I do a ./pre-inst-env guile and then > load (gnu packages python), I get a 20MB heap size, a 35MB total private > dirty memory and 52MB clean shared memory. (Measured using smaps via > https://wingolog.org/pub/mem_usage.py). This is at commit > 60c9e80444421c412ae3d0e7b4b224ef0e32947f. > > I just built the "time" package and I see similar numbers here. I can > only think that the "time" package's numbers are bogus. As discussed on IRC, I just checked and ‘time’ uses the ‘wait3’ syscall to get the process’s resource usage info once it has completed. In libc.info it’s described like this: ‘long int ru_maxrss’ The maximum resident set size used, in kilobytes. That is, the maximum number of kilobytes of physical memory that PROCESSES used simultaneously. >> When compiling python.scm #:to 'cps, we end up with 1G max RSS in 6s. > > Measured with time? If this is the case it could be that python.scm is > just a lot of code. Any compiler would take a lot if the IR size is 1 > GB. > >> The only conclusion I can draw is that cps-to-bytecode compilation seems >> to be responsible for most of the memory consumption. > > This is possible but I am not there yet. I don't see why compiling this > file to CPS should cause memory usage of 1GB. That is 9000 memory words > per textual line -- simply too much. > > Many unknowns here! Yes. :-/ Ludo’.
