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[Robert Caulk <question700674@xxxxxxxxxxxxxxxxxxxxx>]

Question #700674 on Yade changed:
https://answers.launchpad.net/yade/+question/700674

    Status: Open => Answered

Robert Caulk proposed the following answer:
You can use NVMe storage for your yade/is installations as well as fast
ram.

You can ensure highest clock frequency for your cpu, and ensure that it
maintains high clock when all cores are active.

Le sam. 19 févr. 2022 à 08:56, Xue <question700674@xxxxxxxxxxxxxxxxxxxxx> a
écrit :

> New question #700674 on Yade:
> https://answers.launchpad.net/yade/+question/700674
>
> Hello everyone!
>
> I am building a server based on the computational characteristics of YADE
> , but I am a bit confused about the configuration requirements of each
> hardware.
>
> Here is the YADE modeling scenario I envision in the future: model size
> within 2m×2m×2m, particle size between 3cm~6cm, particle number less than
> 50,000. The particles will adopt polyhedral particles, only dry particles
> will be considered, the contact model will use the stress dependent
> interparticle friction coefficient (Suhr & Six 2016) in FrictMatCDM, and
> the load form will mainly consider cyclic concentrated force (load
> frequency less than 60 Hz).
>
> The following are my questions: 1. For the above mentioned calculation
> requirement, the determination of the friction coefficient associated with
> the contact force may be a time-consuming process. For this, how should I
> improve my server configuration to increase the calculation speed? 2.
> According to the related question post, the existing YADE program is not
> yet able to achieve GPU parallelism in particle calculation, and the
> optimal number of CPU cores in the calculation is also determined by
> OpenMP, not the more the better. So what else can I do to increase the
> computation speed besides choosing a CPU with a higher frequency (and the
> server CPU frequency is not higher than the desktop CPU)?
>
> Xue
>
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