Difference between revisions of "Submitting a job to a queue"

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The Faculty Computer Coordinators can change their netgroup from general to power.
 
The Faculty Computer Coordinators can change their netgroup from general to power.
  
Users’ jobs are executed on the compute nodes (compute-0-0 – compute-0-249) under control of a queuing system (PBSPRO). Users are able to logon to the head node, power, via ssh (where their home directory is mounted from the CC filer, the same as on the other CC servers) and submit their jobs to the batch system.
+
Users’ jobs are executed on the compute nodes (compute-0-0 – compute-0-500) under control of a queuing system (PBSPRO). Users are able to logon to the head node, power, via ssh (where their home directory is mounted from the CC filer, the same as on the other CC servers) and submit their jobs to the batch system.
  
 
Power cluster and pbspro queueing system
 
Power cluster and pbspro queueing system
Line 13: Line 13:
 
Start with one of the below commands:
 
Start with one of the below commands:
 
<pre>
 
<pre>
ssh <username>@powerlogin.tau.ac.il
+
ssh <username>@power9login.tau.ac.il
ssh powerlogin.tau.ac.il -l <username>
+
ssh powerlogin9.tau.ac.il -l <username>
 
</pre>
 
</pre>
 
Create a batch job script, for example, file named script that contains the following lines:
 
Create a batch job script, for example, file named script that contains the following lines:
Line 23: Line 23:
 
</pre>
 
</pre>
  
Send the script to be executed in one of the existing queues, for example, to queue ‘short’:
+
Send the script to be executed in one of the existing queues, for example, to queue ‘public’:
 
<pre>
 
<pre>
 
qsub -q public script
 
qsub -q public script
Line 73: Line 73:
 
qsub -q power-dvory -lmem=14gb,pmem=5gb,vmem=20gb,pvmem=20gb <script>
 
qsub -q power-dvory -lmem=14gb,pmem=5gb,vmem=20gb,pvmem=20gb <script>
 
qsub -q gpu -lngpus=1 <script>
 
qsub -q gpu -lngpus=1 <script>
qsub -q public -lnodes=1:ppn=4 <script>
+
qsub -q public -lselect=1:ncpus=4 <script>
 
</pre>
 
</pre>
 
While:
 
While:
Line 92: Line 92:
 
The more updated syntax includes the word 'select'
 
The more updated syntax includes the word 'select'
  
===Quesues list===
+
 
 +
 
 +
 
 +
'''Quesues list'''
 
'''gpu''' – this queue’s purpose it to enable running jobs, which require gpu processing
 
'''gpu''' – this queue’s purpose it to enable running jobs, which require gpu processing
 +
 
'''public''' - queue that is used for public users, who do not pay. They have the lower priority.
 
'''public''' - queue that is used for public users, who do not pay. They have the lower priority.
 +
 +
'''power-PI-username''' - this queue is used by PI and her/his group. Jobs are directed to one global queue, named power-general
  
 
The standard output and standard error files will be written by default at the end of the execution to files in your home directory: script.o#n and script.e#n (where #n is the job number given to your job by the batch queueing system).
 
The standard output and standard error files will be written by default at the end of the execution to files in your home directory: script.o#n and script.e#n (where #n is the job number given to your job by the batch queueing system).
Line 109: Line 115:
 
Explanations regarding PBS script directives can be found at: https://www.osc.edu/supercomputing/batch-processing-at-osc/pbs-directives-summary
 
Explanations regarding PBS script directives can be found at: https://www.osc.edu/supercomputing/batch-processing-at-osc/pbs-directives-summary
  
For example, instead of specifying ‘qsub –q hugemem …’, one may add ‘#PBS –q hugemem’ to the script to be executed. Like in the below script, named ‘script.sh’, which can be run using the command: ‘qsub script.sh’
+
For example, instead of specifying ‘qsub –q public …’, one may add ‘#PBS –q public’ to the script to be executed. Like in the below script, named ‘script.sh’, which can be run using the command: ‘qsub script.sh’
 
<pre>
 
<pre>
 
#!/bin/bash
 
#!/bin/bash
 
#PBS -l walltime=1:00:00
 
#PBS -l walltime=1:00:00
#PBS -l nodes=1:ppn=4,mem=400mb
+
#PBS -l select=1:ncpus=4,mem=400mb
 
./my application
 
./my application
 
</pre>
 
</pre>
Line 122: Line 128:
 
myTable.m ⇒ This matlab file calculates something
 
myTable.m ⇒ This matlab file calculates something
 
<pre>
 
<pre>
function [] = myTable()
 
 
 
fprintf('=======================================\n');
 
fprintf('=======================================\n');
 
 
fprintf(' a            b            c              d            \n');
 
fprintf(' a            b            c              d            \n');
 
 
fprintf('=======================================\n');
 
fprintf('=======================================\n');
 
 
while 1
 
while 1
 
 
                 for j = 1:10
 
                 for j = 1:10
 
 
                                 a = sin(10*j);
 
                                 a = sin(10*j);
 
 
                                 b = a*cos(10*j);
 
                                 b = a*cos(10*j);
 
 
                                 c = a + b;
 
                                 c = a + b;
 
 
                                 d = a - b;
 
                                 d = a - b;
 
 
                                 fprintf('%+6.5f  %+6.5f  %+6.5f  %+6.5f  \n',a,b,c,d);
 
                                 fprintf('%+6.5f  %+6.5f  %+6.5f  %+6.5f  \n',a,b,c,d);
 
 
                 end
 
                 end
 
 
end
 
end
 
 
fprintf('=======================================\n');
 
fprintf('=======================================\n');
 
</pre>
 
</pre>
 
  
 
my_table_script.sh ⇒ This script executes the matlab program. Need just to run qsub with this script
 
my_table_script.sh ⇒ This script executes the matlab program. Need just to run qsub with this script
Line 168: Line 159:
 
cd /a/home/cc/tree/taucc/staff/dvory/matlab
 
cd /a/home/cc/tree/taucc/staff/dvory/matlab
  
matlab -nodisplay -r "myTable()"
+
matlab -nodisplay -nosplash -nodesktop -r "run(myTable());exit;"
 
</pre>
 
</pre>
  
Line 188: Line 179:
 
./run_in_loop.sh
 
./run_in_loop.sh
 
</pre>
 
</pre>
 
  
 
===Interactive session===
 
===Interactive session===
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Login to power.tau.ac.il with ‘X’:
 
Login to power.tau.ac.il with ‘X’:
 
<pre>
 
<pre>
ssh -X -l <username> powerlogin.tau.ac.il
+
ssh -X -l <username> powerlogin9.tau.ac.il
 
</pre>
 
</pre>
 
Then use the qsub command with ‘-X’:
 
Then use the qsub command with ‘-X’:
Line 222: Line 212:
 
Parallel jobs can be executed in the cluster - using up to 96 cores (=ppn) for a job. For example, jobs compiled with mpich can be submitted with the following command:
 
Parallel jobs can be executed in the cluster - using up to 96 cores (=ppn) for a job. For example, jobs compiled with mpich can be submitted with the following command:
 
<pre>
 
<pre>
qsub -l nodes=1:ppn=8 -q parallel <script-filename>
+
qsub -l select=1:ncpus=8 -q paublic <script-filename>
 
</pre>
 
</pre>
 
Multithreaded matlab jobs can be submitted with the following command:
 
Multithreaded matlab jobs can be submitted with the following command:
 
<pre>
 
<pre>
qsub -l nodes=1:ppn=8 -q parallel <matlab-script>
+
qsub -l select=1:ncpus=8 -q parallel <matlab-script>
 
</pre>
 
</pre>
 
‘-l’ refers to a small ‘L’
 
‘-l’ refers to a small ‘L’
Line 236: Line 226:
 
Useful commands:  
 
Useful commands:  
 
<pre>
 
<pre>
module avail
+
module avail <required module>
 +
</pre>
 +
e.g.
 +
<pre>
 +
module avail python
 
</pre>
 
</pre>
 
⇒ lists the available modules on the system
 
⇒ lists the available modules on the system
Line 255: Line 249:
 
</pre>
 
</pre>
 
⇒ unloads the loaded module
 
⇒ unloads the loaded module
 +
 +
===GPU usage===
 +
When not asking for a specific gpu, the code actually asks by default the first one, which may be busy, or using all its memory.
 +
In order to specify a gpu to be used, need to define it (using the environment variable: CUDA_VISIBLE_DEVICES)
 +
e.g.
 +
<pre>
 +
export CUDA_VISIBLE_DEVICES=2
 +
</pre>
 +
If one would like to use more than 1 gpu, she may type them separated with comma, e.g.
 +
<pre>
 +
export CUDA_VISIBLE_DEVICES="2,4"
 +
</pre>
 +
In order to know which gpus are free, one may copy python script to local disk and activate it:
 +
<pre>
 +
module load python/python-anaconda_3.7
 +
python /powerapps/scripts/check_avail_gpu.py
 +
</pre>
 +
It will output the first free gpu (in its last line)
 +
If need more than one gpu, need to overwrite parameter num_gpus in line 96
 +
num_gpus = 1
 +
- it needs to be changed it to the number of needed gpus

Latest revision as of 06:54, 2 April 2024

Power is a Linux cluster system running CentOS (version 7.3-8). The cluster consists of a single head node (power9), and more than 400 compute nodes (some with 16GB, others with 36GB or even 600GB memory and even more) 16 to 96 cores each. Users belonging to netgroup 'power' can login and run their batch jobs on it.

The Faculty Computer Coordinators can change their netgroup from general to power.

Users’ jobs are executed on the compute nodes (compute-0-0 – compute-0-500) under control of a queuing system (PBSPRO). Users are able to logon to the head node, power, via ssh (where their home directory is mounted from the CC filer, the same as on the other CC servers) and submit their jobs to the batch system.

Power cluster and pbspro queueing system

PBSPRO main commands

A good reference can be found in link http://www.pbsworks.com/documentation/support/PBSProUserGuide10.4.pdf

Start with one of the below commands:

ssh <username>@power9login.tau.ac.il
ssh powerlogin9.tau.ac.il -l <username>

Create a batch job script, for example, file named script that contains the following lines:

#!/bin/bash
cd executables
./a.out

Send the script to be executed in one of the existing queues, for example, to queue ‘public’:

qsub -q public script

The number which is returned from this command is the job id that was assigned to the new job:

6770818.power.tau.ac.il

You can see the status of your executing jobs by executing:

qstat -u <username>

Which lists all the jobs running or being queued for the specified user.

Job status may be mainly one of the following:

Q – queued (waiting for its run) R - running You can see the status of all the executing jobs by executing:

qstat

To see the current available queues and their cputime and memory limits, execute:

qstat –q

To see the status of a specific job, you may run:

qstat -f <job number>

Some of the queues are private, accessible to a predefined group of users, other are public, open to all the users of power. More detailed information on any queue limits may be viewed by:

qmgr -c "list queue <queuename>"

For example:

qmgr -c "list queue power-general"

Default queue limits are enforced unless specified otherwise (up to max values) on 'qsub' command, using flag ‘-l’ (small ‘L’), according the following format:

qsub -q <queue> -l<attribute=limit,attribute=limit,.. <script>

For example:

qsub -q power-dvory -lpmem=2000mb,pvmem=3000mb <script>
qsub -q power-dvory -lmem=14gb,pmem=5gb,vmem=20gb,pvmem=20gb <script>
qsub -q gpu -lngpus=1 <script>
qsub -q public -lselect=1:ncpus=4 <script>

While:

mem - refers to maximum amount of memory to be allocated

pmem - refers to maximum amount of memory to be allocated per process

vmem - refers to maximum amount of virtual memory to be allocated

pvmem - refers to maximum amount of virtual memory to be allocated per process

nodes - number of required nodes (servers)

ppn - number of required cores (within a node)

ngpus - number of required gpus (exists only for queue gpu) The more updated syntax includes the word 'select'



Quesues list gpu – this queue’s purpose it to enable running jobs, which require gpu processing

public - queue that is used for public users, who do not pay. They have the lower priority.

power-PI-username - this queue is used by PI and her/his group. Jobs are directed to one global queue, named power-general

The standard output and standard error files will be written by default at the end of the execution to files in your home directory: script.o#n and script.e#n (where #n is the job number given to your job by the batch queueing system).

To delete a job, use the qdel command:

qdel <job number>


PBSPRO file parameters The script to be run may have additional commands which are directions to the scheduler, instead of adding parameters to the qsub command line.

Explanations regarding PBS script directives can be found at: https://www.osc.edu/supercomputing/batch-processing-at-osc/pbs-directives-summary

For example, instead of specifying ‘qsub –q public …’, one may add ‘#PBS –q public’ to the script to be executed. Like in the below script, named ‘script.sh’, which can be run using the command: ‘qsub script.sh’

#!/bin/bash
#PBS -l walltime=1:00:00
#PBS -l select=1:ncpus=4,mem=400mb
./my application

Running matlab example In this example there are 3 files:

myTable.m ⇒ This matlab file calculates something

fprintf('=======================================\n');
fprintf(' a             b             c              d             \n');
fprintf('=======================================\n');
while 1
                for j = 1:10
                                a = sin(10*j);
                                b = a*cos(10*j);
                                c = a + b;
                                d = a - b;
                                fprintf('%+6.5f   %+6.5f   %+6.5f   %+6.5f   \n',a,b,c,d);
                end
end
fprintf('=======================================\n');

my_table_script.sh ⇒ This script executes the matlab program. Need just to run qsub with this script

#!/bin/bash

#PBS -e /tmp/dvory/matlab/output

#PBS -o /tmp/dvory/matlab/output

#PBS -l mem=5000mb

#PBS -q power-dvory

hostname

cd /a/home/cc/tree/taucc/staff/dvory/matlab

matlab -nodisplay -nosplash -nodesktop -r "run(myTable());exit;"

run_in_loop.sh ⇒ However, one may also generate many jobs with this file

#!/bin/bash

for i in {1..100}

do

        qsub my_table_script.sh

done

Running my job is with the command:

./run_in_loop.sh

Interactive session

Interactive sessions (line mode) are enabled, using flag ‘-I’ (a big ‘i'):

qsub -q <queue name> -I

(without adding a script name)


Interactive sessions with X window To enable opening an x window (such as matlab window, or math window)

This may be enabled using the commands below:

Login to power.tau.ac.il with ‘X’:

ssh -X -l <username> powerlogin9.tau.ac.il

Then use the qsub command with ‘-X’:

qsub -I -X -q <queue>

(without adding a script name) Keep in mind that - running matlab via an X window slows the matlab execution.

For the benefit of matlab, need to allocate more memory than is defined in the default public queues, at least the following memory needs to requested:

qsub -q power-dvory –lmem=60gb,pmem=60gb,vmem=60gb,pvmem=60gb -I -X

Parallelism

Parallel jobs can be executed in the cluster - using up to 96 cores (=ppn) for a job. For example, jobs compiled with mpich can be submitted with the following command:

qsub -l select=1:ncpus=8 -q paublic <script-filename>

Multithreaded matlab jobs can be submitted with the following command:

qsub -l select=1:ncpus=8 -q parallel <matlab-script>

‘-l’ refers to a small ‘L’

Environment modules

The Environment Modules package provides for the dynamic modification of a user’s environment via modulefiles.

Typically modulefiles instruct the module command to alter or set shell environment variables such as PATH, MANPATH, etc. Modules are useful in managing different versions of applications. Useful commands:

module avail <required module>

e.g.

module avail python

⇒ lists the available modules on the system

module load <module>

e.g.:

module load intel/ifort10

⇒ loads the appropriate module and enables to use ifort version 10 without specifying the path to its binaries and libraries

module list

⇒ lists the loaded modules

module unload intel/ifort10

⇒ unloads the loaded module

GPU usage

When not asking for a specific gpu, the code actually asks by default the first one, which may be busy, or using all its memory. In order to specify a gpu to be used, need to define it (using the environment variable: CUDA_VISIBLE_DEVICES) e.g.

export CUDA_VISIBLE_DEVICES=2

If one would like to use more than 1 gpu, she may type them separated with comma, e.g.

export CUDA_VISIBLE_DEVICES="2,4"

In order to know which gpus are free, one may copy python script to local disk and activate it:

module load python/python-anaconda_3.7
python /powerapps/scripts/check_avail_gpu.py

It will output the first free gpu (in its last line) If need more than one gpu, need to overwrite parameter num_gpus in line 96 num_gpus = 1 - it needs to be changed it to the number of needed gpus