I have a somewhat related problem: Since February (I do not recall the exact
revision, but might very well be early in the 6.6 release cycle), I cannot do a
parallel build with 4 processes on my notebook with 4 GB RAM anymore.

My observation was that cythonizing takes huge amounts of memory (~ 2 GB) per
process. Interrupting it and typing make again reduced the maximum memory usage.

I then tried to somehow compare that with 6.5 and tried to limit my memory with
ulimit; but also then, cythonizing took lots of memory. I then stopped
investigating this and resigned myself to parallel builds with two processes.

Regards, CH

Am 2015-04-20 um 19:10 schrieb Thierry:
> Hi,
> 
> i confirm i had the same issue on a "Genuine Intel(R) CPU T2050 @ 1.60GHz"
> with 1GB of RAM (+1.5GB swap), the build of 6.5 was sucessful, but get stuck 
> for
> 6.6.
> 
> Ciao,
> Thierry
> 
> 
> 
> On Mon, Apr 20, 2015 at 09:33:24AM -0700, Andrey Novoseltsev wrote:
>> Hello,
>>
>> Up to Sage-6.5 I was able to build it on my old laptop with 2GB RAM. It has 
>> swap as well, but I don't think it was used much, the wall time was just a 
>> bit bigger than user+system, about 8-9 hours.
>>
>> With Sage-6.6 it gets stuck while processing rings directory: swap is not 
>> full yet, but it seems that necessary stuff does not fit RAM anymore - 
>> heavy disk usage, low CPU temperature, not much progress after more than a 
>> day, top was showing "python setup.py" if I recall correctly consuming 
>> 1.5GB RAM and over 2.5GB virtual memory. This consistent over several 
>> attempts with "make distclean", with nothing running apart from MATE 
>> session and a terminal window.
>>
>> I realize that supporting builds on such computers may not be a high 
>> priority, if at all, but perhaps it is a manifestation of some bug.
>>
>> Besides, while 2GB total RAM seems small nowadays, 2GB/core is quite 
>> common, especially with VMs. (In fact, all physical and virtual machines 
>> that I use frequently happen to have exactly this number, ranging from 
>> 2GB/1 core to 32GB/16 cores.)
>>
>> Thank you,
>> Andrey
>>
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