Actuallu due to lack of computational resources at our campus we are trying to use the cluster from other university whose acess is provided to us. But facing problem to run Quantum espresso in parallel with given number of cores
I am afraid if you wish any help you really need to provide a few pieces of information. For example, do you have the output of Quantum Espresso? The input? The script you have used to run QE on your cluster? The error or output produced by the cluster.
In general, if QE is compiled to work on parallel machines, you have to instruct the cluster to run it. Common commands are srun and mpirun but it depends on the cluster software.
As it stands now, your question is too generic admittedly.
* When running a CP job by Quantum Epresso on supercomputer with 80 cores, I
saw a result as
Program CP v.6.0 (svn rev. 13079) starts on 2Nov2018 at 8:32:19
This program is part of the open-source Quantum ESPRESSO suite
for quantum simulation of materials; please cite
"P. Giannozzi et al., J. Phys.:Condens. Matter 21 395502 (2009);
URL http://www.quantum-espresso.org",
in publications or presentations arising from this work. More details at
http://www.quantum-espresso.org/quote
Parallel version (MPI), running on 80 processors
R & G space division: proc/nbgrp/npool/nimage = 80
Dumping input parameters
......
* I think this job was run by a parallel process, but it was as slow as that run on CPU. Is it sure that the job is run parallel on 80 cores ? I set up a Qe-6.0 version.
R & G space division: proc/nbgrp/npool/nimage = 80
This means that the job is running on 80 processors in parallel (I don’t know the structure of your cluster so I am not sure on how many nodes it is actually running). On terms of speed, again I cannot comment since I don’t know your cluster and the CPU it is made of.
Compare those two lines with the old case in which QE replied with the “Serial version’ to see the difference..