How to use mpirun to reduce running time?

[majun]

Dear scientist,
Now I can successfully run clm5.0 at regional scale and 0.05° spatial resolution. However, it costs lots of time to run. I want it faster but don't konw how to set.
The situtaion of my server is as follows:

Logical CPU Number: 24
Physical CPU Number: 2
CPU Core Number: 6
Memory：128G

I have installed mpich 3.3.1 and make sure it can work . I have installed pnetcdf but don't know how to use it . I didn't use batch system. Meanwhile, I have changed some configuration in config_machines.xml as follows:
....
<MAX_TASKS_PER_NODE>6</MAX_TASKS_PER_NODE>
<MAX_MPITASKS_PER_NODE>6</MAX_MPITASKS_PER_NODE>
<mpirun mpilib="default">
<executable>mpirun</executable>
<arguments>
<arg name="ntasks"> -np {{ total_tasks }} </arg>
</arguments>
</mpirun>
and changed some configuration in config_compilers.xml as follows:
<MPI_LIB_NAME>mpich</MPI_LIB_NAME>
<MPI_PATH>/home/shenhf/majun/setup/mpich-3.3.1</MPI_PATH>
<NETCDF_PATH>/home/shenhf/majun/setup/netcdf</NETCDF_PATH>
<PNETCDF_PATH>/home/shenhf/majun/setup/pnetcdf-1.12.0</PNETCDF_PATH>

However, when I execute ./case.submit ,it always shows:
mpirun -np 1 /home/shenhf/majun/clm5.0/output/80x60_SP_spinup/bld/cesm.exe >> cesm.log.$LID 2>&1
when I use mpirun -np 6 /home/shenhf/majun/clm5.0/output/80x60_SP_spinup/bld/cesm.exe it shows:
ERROR: (cime_cpl_init) :: namelist read returns an end of file or end of record condition
#0 0xa3a7f9 in ???
#1 0xa3a9c6 in ???
#2 0x428af4 in ???
#3 0x42b194 in ???
#4 0x31fe61ed5c in ???
#5 0x4104e8 in ???
application called MPI_Abort(MPI_COMM_WORLD, 1001) - process 0

So how to set to enhance the efficiency of run? Any suggestion or help is highly appreciated.

 

[sacks]

I think what you're asking is how you can use more processors for the run. After setting up the case, you can run:

./xmlchange NTASKS=6

so that the run uses 6 processors.

 

[majun]

I think what you're asking is how you can use more processors for the run. After setting up the case, you can run:

./xmlchange NTASKS=6

so that the run uses 6 processors.

thanks a lot. I have another question on how to create irregular surface datasets using a mask(like shp file). Now I can create regular(rectangle) surface datasets using some scripts attacted with clm5.0(e.g.mknoocnmap.pl, mkmapdata.sh gen_domain etc.), however my study region is irregular, what should I do to ? Is there any instructions to follow? Any suggestion or help is highly appreciated.

 

[sacks]

Please open a new thread for your new question, posting it in the land forum. When you do, please describe your question in more detail.