I did as suggested adding the line
Parallelism().set(nproc=4)
before the contraction, but it behaves strangely: it works for a short while
with 4 processors, then with 3, then with 2 and finally it works for hours with
a single processor.
It seems that no new packages are distributed between the processors.
Il giorno mercoledì 22 gennaio 2020 07:43:52 UTC+1, Mattia Villani ha
scritto:
>
> How to use parallelization on contraction of tensor? Consider the case I
> have two successive contraction like this:
>
> Tud=etuu['^{ab}']*eamup['^c_b']
> Tp=Tud['^{ab}']*eamup['^c_a']
>
> How con I parallelize it?
>
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