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WhatWhoDetails  
Release Coming  
DockerHao

No news, no h.shi-1 only Linux version is tested, need to compile all the settings before move to other systems.

Hao needs to talk to Han this week on the docker before he leaves.

Hao added the MercuryDPM-Trunk docker image for both Ubuntu and Mac. The windows version will be tested later on.

Update: Docker does not work on Windows home, even if HyperV is installed. Need to test on Windows Professional & Enterprise.

  
CoursesThomas

Basic C++ will be given by Thomas Oct 28-30.

C++ for Developers be given by Anthony Oct 30 - Nov 1. Juan, Hong, Juan, Mitchel, Hao, Yousef are interested.

A MercuryDPM course is not planned, although Julius would be interested.

There are two UTstudents that will take teh Basic and Developers version.

  
Oomphlib couplingMitchel

1-way coupled code is approx 4000 faster but does not work for non-refinables elements as it needs the extra data

Hao did the test on 4000 particles with new code, the Oomph-part is indeed much faster than the older version, this reduces the total simulation time by approx. 20%.

However, it seems somewhere else is getting heavier and the new run compare to the old run is actually longer. Hao checked with Mitchel on both old and new implementations

and found out the time cost difference on the locate_zeta function in pressure gradient. Think of updating coupling force not every Mercury Timestep to reduce the run time.

  
Jinja or Jinja2Hao

Do we want to add a python interface to MercuryDPM in the future?

Would be useful to use in combination with GrainLearning.

We also have the Mercury command line interface, but that cannot pass functions.

There is a student from Erlangen (attanded DEM8) who might be interested in writing this interface in the MercuryMonth

  
MercuryMonth 

Starts April 20; first week we give the MercuryDPM course;

  

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