Re: [ESPResSo-users] minimum number of cells

[Xikai Jiang]

Dr. Arnold:

Yes, it's an error, not warning, for "number of cells is smaller than minimum". The simulation box sizes are 20, 20 and 19 and each side is larger than twice the r_cut. P3M parameters are from automatic tuning.

It requires at least 2 cells per spatial dimension, then "min_num_cells" is 8 on 1 core, and it's 1 on 8 cores. For 16 cores, if I set min_num_cells to 1, for the whole system, the total min_num_cells is 1*16=16 and it's safe for the simulation, is my understanding correct?

Thank you four your time and help.

Xikai

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Date: Wed, 16 Jul 2014 22:12:01 +0200
From: address@hidden
To: address@hidden; address@hidden
Subject: Re: [ESPResSo-users] minimum number of cells

On 16.07.14 18:59, Xikai Jiang wrote:

Dear all:

I have a question about the global variable "minimum_num_cells".

Espresso seems to set "minimum_num_cells" to 8 by default, but
when I use MPI and use more cores, it gives me a warning saying
"number of cells is smaller than minimum". And I found when I
increase number of cores, number of cells decreases.

You don't get a warning, but an error message, since Espresso would produce incorrect results. We need at least two cells per spatial dimension to make the minimum image convention unambiguous. minimum_num_cells however counts per core, so if you have 2 cores, you just need 4, and for 4 cores 2.

I'm using P3M algorithm and Coulomb cutoff is 3.3:
inter coulomb [expr 138.935485/$epsilonr/$T] p3m 3.3 100 7 1.1

Here I'm supposed not to change the interaction range (r_cut) and
my question is, is it safe to manually set "minimum_num_cells" to 0,
in order to avoid the warning and let me use more cores?

No, first of all you cannot set minimum_num_cells to a lower value, since ESPResSo wants to avoid computing incorrect results. As a consequence, there is a limit to the cutoff depending on the box size. You simply cannot use r_cut 3.3 in a box smaller than 6.7. Either, you put more particles to increase the box size, or you don't insist on your parameters, but rather let P3M tune them.

Best,
Axel

-- 
JP Dr. Axel Arnold
ICP, Universität Stuttgart
Allmandring 3
70569 Stuttgart, Germany
Email: address@hidden
Tel: +49 711 685 67609