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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