String Calculation Parallel over images and k-points [SOLVED]
Posted: Tue Nov 27, 2018 3:26 pm
Dear ABINIT friends,
I like to calculate the energy barrier of a hopping oxygen atom on a Pd(111) surface.
I like to perform a minimum energy path calculation. I like to use the string method with 7 images. The initial and final image are already optimised.
13 k-points will be used for every image. Since I want to do the calculation in parallel over images as well as k-points, I need 5*13 = 65 cores.
From scanning over the abinit parameters, I got the impression that specifying ``autoparal 1`` should be sufficient for abinit to figure out the best parallel strategy. Abinit would calculate 5 images in parallel and would use 1 core for every kpoint of each image.
However, if I specify this situation, I got a segmentation fault error. Segmentation should not appear in any case. So I like to report that.
But more important, how do I get this job running?
I have included the input file for a closer inspection: pd.in
To reproduce the segmentation fault, I have also included the PP files and other necessary files. Though I had to append the extension ``.in``.
I like to calculate the energy barrier of a hopping oxygen atom on a Pd(111) surface.
I like to perform a minimum energy path calculation. I like to use the string method with 7 images. The initial and final image are already optimised.
13 k-points will be used for every image. Since I want to do the calculation in parallel over images as well as k-points, I need 5*13 = 65 cores.
From scanning over the abinit parameters, I got the impression that specifying ``autoparal 1`` should be sufficient for abinit to figure out the best parallel strategy. Abinit would calculate 5 images in parallel and would use 1 core for every kpoint of each image.
However, if I specify this situation, I got a segmentation fault error. Segmentation should not appear in any case. So I like to report that.
But more important, how do I get this job running?
I have included the input file for a closer inspection: pd.in
To reproduce the segmentation fault, I have also included the PP files and other necessary files. Though I had to append the extension ``.in``.