While starting a simulation on REGCM, I executed the command
mpirun -np 2 ./bin/regcmMPI sensitivity01.in
Which gives me the following:
This is RegCM trunk
SVN Revision: compiled at: data : Sep 9 2021 time: 18:24:31
: this run start at : 2021-09-27 12:04:43-0400
: it is submitted by : jorgenava
: it is running on : jorgenava-HP-Laptop-15-dy1xxx
: it is using : 1 processors
: in directory : /home/jorgenava/Modelos_de_Simulacion/RegCM-master/Regrun
CPUS DIM1 = 1
CPUS DIM2 = 1
Reading model namelist file
Using default dynamical parameters.
Using default hydrostatc parameters.
Using default cloud parameter.
-------------- FATAL CALLED ---------------
Fatal in file: mod_params.F90 at line: 2699
Error reading GRELLPARAM
mod_params.F90 : 2699: 1
Abort called by computing node 0 at 2021-09-27 12:04:43.080 -0400
Execution terminated because of runtime error
MPI_ABORT was invoked on rank 0 in communicator MPI COMMUNICATOR 3 DUP FROM 0
with errorcode 1.
NOTE: invoking MPI_ABORT causes Open MPI to kill all MPI processes.
You may or may not see output from other processes, depending on
exactly when Open MPI kills them.
It seems that [at least] one of the processes that was started with
mpirun did not invoke MPI_INIT before quitting (it is possible that
more than one process did not invoke MPI_INIT -- mpirun was only
notified of the first one, which was on node n0).
mpirun can only be used with MPI programs (i.e., programs that
invoke MPI_INIT and MPI_FINALIZE). You can use the "lamexec" program
to run non-MPI programs over the lambooted nodes.
The contents of the file sensitivity01.in are the following:
!dominio 25 km CORDEX SUDAMERICA
!GRELL/LAND-EMANUEL/OCEAN=sensit01
&dimparam
iy = 278,
jx = 243,
kz = 18,
nsg = 1,
/
&geoparam
iproj = 'ROTMER',
ds = 30.0,
ptop = 5.0,
clat = -21.11,
clon = -60.3,
plat = -21.11,
plon = -60.3,
truelatl = -30.0,
truelath = -60.0,
i_band = 0,
/
&terrainparam
domname = 'sensit01',
lakedpth = .false.,
fudge_lnd = .false.,
fudge_lnd_s = .false.,
fudge_tex = .false.,
fudge_tex_s = .false.,
dirter = '/home/jorgenava/Modelos_de_Simulacion/RegCM-master/Regrun/input',
inpter = '/home/jorgenava/Modelos_de_Simulacion/Globedat/',
/
&debugparam
debug_level = 0,
/
&boundaryparam
nspgx = 12,
nspgd = 12,
/
&globdatparam
ibdyfrq = 6,
ssttyp = 'OI_WK',
dattyp = 'EIN15',
gdate1 = 2000010100,
gdate2 = 2000013100,
dirglob = '/home/jorgenava/Modelos_de_Simulacion/RegCM-master/Regrun/input',
inpglob = '/home/jorgenava/Modelos_de_Simulacion/Globedat',
/
&globwindow
lat0 = 0.0
lat1 = 0.0
lon0 = 0.0
lon1 = 0.0
/
&restartparam
ifrest = .false. ,
mdate0 = 2000010100,
mdate1 = 2000010100,
mdate2 = 2000013100,
/
&timeparam
dtrad = 30.,
dtabem = 18.,
dtsrf = 600.,
dt = 30.,
/
&outparam
ifsave = .false. ,
savfrq = 0.,
ifatm = .true. ,
atmfrq = 6.,
ifrad = .false. ,
radfrq = 6.,
ifsrf = .true. ,
ifsub = .false. ,
srffrq = 3.,
ifchem = .false.,
chemfrq = 6.,
dirout='/home/jorgenava/Modelos_de_Simulacion/RegCM-master/Regrun/output',
/
&physicsparam
iboudy = 5,
ibltyp = 1,
!idiffu = 1, ! Diffusion scheme
icup_lnd = 2,
icup_ocn = 4,
ipptls = 1,
iocnflx = 2,
ipgf = 0,
iemiss = 0,
lakemod = 0,
ichem = 0,
scenario = 'A1B',
idcsst = 0,
iseaice = 0,
idesseas = 0,
iconvlwp = 0,
/
&subexparam
qck1land = 0.0005, ! Autoconversion Rate for Land
qck1oce = 0.0005, ! Autoconversion Rate for Ocean
gulland = 0.65, ! Fract of Gultepe eqn (qcth) when prcp occurs (land)
guloce = 0.30, ! Fract of Gultepe eqn (qcth) for ocean
cevaplnd = 1.0e-5, ! Raindrop evap rate coef land [[(kg m-2 s-1)-1/2]/s]
cevapoce = 1.0e-5, ! Raindrop evap rate coef ocean [[(kg m-2 s-1)-1/2]/s]
caccrlnd = 6.0, ! Raindrop accretion rate land [m3/kg/s]
caccroce = 4.0, ! Raindrop accretion rate ocean [m3/kg/s]
conf = 1.00, ! Condensation efficiency
/
! &subexparam
! qck1land = .250E-03,
! qck1oce = .250E-03,
! cevaplnd = .100E-02,
! caccrlnd = 3.000,
! cftotmax = 0.75,
/
&grellparam
igcc = 1, ! Cumulus closure scheme
! 1 => Arakawa & Schubert (1974)
! 2 => Fritsch & Chappell (1980)
gcr0 = 0.0020, ! Conversion rate from cloud to rain
edtmin = 0.20, ! Minimum Precipitation Efficiency land
edtmin_ocn = 0.20, ! Minimum Precipitation Efficiency ocean
edtmax = 0.80, ! Maximum Precipitation Efficiency land
edtmax_ocn = 0.80, ! Maximum Precipitation Efficiency ocean
edtmino = 0.20, ! Minimum Tendency Efficiency (o var) land
edtmino_ocn = 0.20, ! Minimum Tendency Efficiency (o var) ocean
edtmaxo = 0.80, ! Maximum Tendency Efficiency (o var) land
edtmaxo_ocn = 0.80, ! Maximum Tendency Efficiency (o var) ocean
edtminx = 0.20, ! Minimum Tendency Efficiency (x var) land
edtminx_ocn = 0.20, ! Minimum Tendency Efficiency (x var) ocean
edtmaxx = 0.80, ! Maximum Tendency Efficiency (x var) land
edtmaxx_ocn = 0.80, ! Maximum Tendency Efficiency (x var) ocean
shrmin = 0.30, ! Minimum Shear effect on precip eff. land
shrmin_ocn = 0.30, ! Minimum Shear effect on precip eff. ocean
shrmax = 0.90, ! Maximum Shear effect on precip eff. land
shrmax_ocn = 0.90, ! Maximum Shear effect on precip eff. ocean
pbcmax = 50.0, ! Max depth (mb) of stable layer b/twn LCL & LFC
mincld = 150.0, ! Min cloud depth (mb).
htmin = -250.0, ! Min convective heating
htmax = 500.0, ! Max convective heating
skbmax = 0.4, ! Max cloud base height in sigma
dtauc = 30.0 ! Fritsch & Chappell (1980) ABE Removal Timescale (min)
/
&emanparam
elcrit_ocn = 0.0011D0,
elcrit_lnd = 0.0011D0,
coeffr = 1.0D0,
/
&holtslagparam
/
&clm_inparm
fpftcon = 'pft-physiology.c130503.nc',
fsnowoptics = 'snicar_optics_5bnd_c090915.nc',
fsnowaging = 'snicar_drdt_bst_fit_60_c070416.nc',
/
&clm_soilhydrology_inparm
/
&clm_hydrology1_inparm
/
What could be causing this problem?
EDIT: If isntead I use the following command:
mpirun -n 4 ./bin/regcmMPI sensitivity01.in
I instead get the following output:
-----------------------------------------------------------------------------
Synopsis: mpirun [options] <app>
mpirun [options] <where> <program> [<prog args>]
Description: Start an MPI application in LAM/MPI.
Notes:
[options] Zero or more of the options listed below
<app> LAM/MPI appschema
<where> List of LAM nodes and/or CPUs (examples
below)
<program> Must be a LAM/MPI program that either
invokes MPI_INIT or has exactly one of
its children invoke MPI_INIT
<prog args> Optional list of command line arguments
to <program>
Options:
-c <num> Run <num> copies of <program> (same as -np)
-client <rank> <host>:<port>
Run IMPI job; connect to the IMPI server <host>
at port <port> as IMPI client number <rank>
-D Change current working directory of new
processes to the directory where the
executable resides
-f Do not open stdio descriptors
-ger Turn on GER mode
-h Print this help message
-l Force line-buffered output
-lamd Use LAM daemon (LAMD) mode (opposite of -c2c)
-nger Turn off GER mode
-np <num> Run <num> copies of <program> (same as -c)
-nx Don't export LAM_MPI_* environment variables
-O Universe is homogeneous
-pty / -npty Use/don't use pseudo terminals when stdout is
a tty
-s <nodeid> Load <program> from node <nodeid>
-sigs / -nsigs Catch/don't catch signals in MPI application
-ssi <n> <arg> Set environment variable LAM_MPI_SSI_<n>=<arg>
-toff Enable tracing with generation initially off
-ton, -t Enable tracing with generation initially on
-tv Launch processes under TotalView Debugger
-v Be verbose
-w / -nw Wait/don't wait for application to complete
-wd <dir> Change current working directory of new
processes to <dir>
-x <envlist> Export environment vars in <envlist>
Nodes: n<list>, e.g., n0-3,5
CPUS: c<list>, e.g., c0-3,5
Extras: h (local node), o (origin node), N (all nodes), C (all CPUs)
Examples: mpirun n0-7 prog1
Executes "prog1" on nodes 0 through 7.
mpirun -lamd -x FOO=bar,DISPLAY N prog2
Executes "prog2" on all nodes using the LAMD RPI.
In the environment of each process, set FOO to the value
"bar", and set DISPLAY to the current value.
mpirun n0 N prog3
Run "prog3" on node 0, *and* all nodes. This executes *2*
copies on n0.
mpirun C prog4 arg1 arg2
Run "prog4" on each available CPU with command line
arguments of "arg1" and "arg2". If each node has a
CPU count of 1, the "C" is equivalent to "N". If at
least one node has a CPU count greater than 1, LAM
will run neighboring ranks of MPI_COMM_WORLD on that
node. For example, if node 0 has a CPU count of 4 and
node 1 has a CPU count of 2, "prog4" will have
MPI_COMM_WORLD ranks 0 through 3 on n0, and ranks 4
and 5 on n1.
mpirun c0 C prog5
Similar to the "prog3" example above, this runs "prog5"
on CPU 0 *and* on each available CPU. This executes
*2* copies on the node where CPU 0 is (i.e., n0).
This is probably not a useful use of the "C" notation;
it is only shown here for an example.
Defaults: -c2c -w -pty -nger -nsigs
What could the problem be?
