[Ipopt] Ipopt parallelism

[Anthony D. Kelman]

Try setting them outside of python. If you've already imported the library
it might be too late for the environment variable to make a difference.

On Feb 11, 2017 11:35 PM, <gio.srt at gmail.com> wrote:

> Yes, I forgot to mention that I tried to use:
>
> os.environ["OMP_NUM_THREADS"] = "1"
> os.environ["MKL_NUM_THREADS"] = "1"
> os.environ["GOTO_NUM_THREADS"] = “1"
>
> at the beginning of the Python script but without success.
>
> Gio
>
> On 12 Feb 2017, at 15:16, Anthony D. Kelman <kelman at berkeley.edu> wrote:
>
> Depends which blas implementation you're using, but there should be an
> environment variable to control the threading.
>
> On Feb 11, 2017 11:15 PM, <gio.srt at gmail.com> wrote:
>
>> Hi everyone,
>>
>> I’m using Ipopt on a server as a guest, meaning that I have no idea how
>> Ipopt has been compiled or maintained. Ipopt is lunched within a Python
>> script using Pyomo with the following options:
>>
>> max_iter=1000
>> acceptable_tol=0.001
>> honor_original_bounds=no
>> max_cpu_time=20
>>
>> The server is running Ipopt version 3.12.2, using ma27 (this is what the
>> solver output says).
>>
>> My problem is that Ipopt is using more than one core, which I don’t like
>> in this case. The linear solver is definitely not the source of the
>> parallelism, since only MA86 and M97 support that, which reduce the area of
>> research to Blas, if I’m not mistaken.
>>
>> Any idea how I could force Ipopt to use only one core without knowing
>> exactly what going on in the background? Or, say that Blas is causing those
>> parallel calls, how do I disable that during run time?
>>
>> Thanks,
>>
>> Giorgio
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>>
>
>
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