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Re: [lammps-users] Using LAMMPS on Cloud Supercomputers
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Re: [lammps-users] Using LAMMPS on Cloud Supercomputers

From: Titusi Forum <titusiforum@...24...>
Date: Sat, 22 Jul 2017 08:46:55 -0700


We take care of openMP and openMPI behind the scenes for you. You should simply select LAMMPS from software drop down and 128core instance from machine dropdown. You should not give your own mpirun wrapper. I have fixed your commands. Let me know if this works for you.

On Fri, Jul 21, 2017 at 11:36 AM, Titusi Forum <titusiforum@...12...24...> wrote:
Dear Rajeev:
If model is running well on 128 core node then it should run fine on all other nodes.
Can you use the "Collaborate" tab on kogence and share your model privately with mukul@...7010....
I would fix the issues and revert it back private to you.

First time you fire a node, it takes about 1.5minutes for interactive display to get active. Next time you fire a simulation on same node, it will come instantaneously. Also, note that your simulations do not stop/break if you close your browser or shut your machine. You can always reconnect to visualization as long as your job has not finished.

On Fri, Jul 21, 2017 at 9:45 AM, Rajeev Dhongar <rajeev.dhongar@...24...> wrote:
Hi, This is a very useful project. 
Thx for introducing us to Kogence.
I tried running some kappa models on your site.
Stranegely, code runs well on 128core node but crashes on 16core node.
Any idea what is wrong?
I tried using Octave to do some 3D graphics.
But I am not being able to connect to interactive graphics. Can you help.


On Thu, Jul 20, 2017 at 6:22 PM, Titusi Forum <titusiforum@...24...> wrote:
Dear LAMMPS Community,

This may be useful to some of you. Kogence is offering free cloud supercomputing for LAMMPS simulations of materials. You can fire simulations on machines as good as 128cores on single node or cluster many such nodes together. This is a nonprofit effort to match excellent opensource such as LAMMPS with cloud supercompute power.

There are some 30+ public LAMMPS projects that you can fork, modify and execute. Alternatively, you can also create your own project from scratch. You can keep project private or share it with collaborators. Details are provided here :-

If you run into any issues, please feel free to contact me at mukul AT alumni DOT stanford DOT edu. I would also appreciate any feedback you might have for me.


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