Difference between revisions of "QUonG HowTo"

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To select any of the others: add to your '''PATH''' and '''LD_LIBRARY_PATH''' env variables the right directories; e.g. for OpenMPI 1.7, '''/usr/local/ompi-trunk/bin''' and '''/usr/local/ompi-trunk/lib'''.<br>
 
To select any of the others: add to your '''PATH''' and '''LD_LIBRARY_PATH''' env variables the right directories; e.g. for OpenMPI 1.7, '''/usr/local/ompi-trunk/bin''' and '''/usr/local/ompi-trunk/lib'''.<br>
 
To enable compiling CUDA code: add '''/usr/local/cuda/bin''' and '''/usr/local/cuda/lib64''' to your '''PATH''' and '''LD_LIBRARY_PATH''' env variables.<br>
 
To enable compiling CUDA code: add '''/usr/local/cuda/bin''' and '''/usr/local/cuda/lib64''' to your '''PATH''' and '''LD_LIBRARY_PATH''' env variables.<br>
When using OpenMPI, for reasons highlighted [http://www.open-mpi.org/faq/?category=openfabrics#ib-locked-pages here], it is advided to set '''ulimit -l unlimited''' (for a Bourne style shell) or '''ulimit -l unlimited''' (for a C style shell).
+
When using OpenMPI, for reasons highlighted [http://www.open-mpi.org/faq/?category=openfabrics#ib-locked-pages here], it is advided to set '''ulimit -l unlimited''' (for a Bourne style shell) or '''limit memorylocked unlimited''' (for a C style shell).<br>
 +
'''REMEMBER''' when using MVAPICH2 to set the '''MV2_USE_CUDA''' env variable to '''1''' if you are going to use the CUDA-enabled communication primitives.
  
 
== Using QUonG ==
 
== Using QUonG ==

Latest revision as of 13:00, 20 November 2013

Available Resources on QUonG:

  • For hardware:
    • 16 nodes (SuperMicro X8DTG-D)
    • each node is dual socket, with one 4-core Intel Xeon E5620 2.40GHz per socket
    • each node owns 2 Tesla M2075
    • each node owns 1 InfiniBand card - Mellanox ConnectX (MT26428) PCIe Gen2 on a x4 PCIe slot
  • For sofware:
    • each node OS is (diskless, boot from network) Centos 6.4 with kernel 2.6.32-358.2.1.el6.x86_64 (x86_64 arch)
    • GNU C/C++/Fortran compiler is version 4.4.7
    • OpenMPI 1.5.4 (standard package within CentOS 6.4) - configurable with module load openmpi.x86_64
    • OpenMPI 1.7 - install path is /usr/local/ompi-trunk
    • MVAPICH2-1.8 - install path is /usr/local/mvapich2-1.8
    • MVAPICH2-1.9a2 - install path is /usr/local/mvapich2-1.9a2 --- WARNING: 'srun' is the only launcher admitted!
    • NVIDIA driver version 295.41 with CUDA 4.2 SDK (install path is /usr/local/cuda)
    • SLURM batch job manager

To select OpenMPI 1.5.4 as communication middleware: module load openmpi.x86_64
To select any of the others: add to your PATH and LD_LIBRARY_PATH env variables the right directories; e.g. for OpenMPI 1.7, /usr/local/ompi-trunk/bin and /usr/local/ompi-trunk/lib.
To enable compiling CUDA code: add /usr/local/cuda/bin and /usr/local/cuda/lib64 to your PATH and LD_LIBRARY_PATH env variables.
When using OpenMPI, for reasons highlighted here, it is advided to set ulimit -l unlimited (for a Bourne style shell) or limit memorylocked unlimited (for a C style shell).
REMEMBER when using MVAPICH2 to set the MV2_USE_CUDA env variable to 1 if you are going to use the CUDA-enabled communication primitives.

Using QUonG

Available SLURM queues on QUonG

  • 4 nodes (q000-03) in the debug queue (30 min. run time limit)
  • 8 nodes (q004-11) in the run queue (4 hrs. run time limit)
  • remaining 4 nodes (q012-15) in the run queue under SLURM reservation, needs permission for '--reservation=apenet_development' option - ask us if you need access

To run on QUonG:

salloc

salloc allocates a number of nodes from a queue, drops you into an interactive shell where you can run from with 'mpirun' or 'srun' (see below); you exit the shell to relinquish the resources.

Example: allocate 2 nodes (-N option) from the 'debug' queue (-p option), run 'hostname' on them, then exit

[user@quong ~]$ salloc -N 2 -p debug
salloc: Granted job allocation 656482
[user@quong ~]$ mpirun hostname
q002.qng
q002.qng
q003.qng
q003.qng
[user@quong ~]$ exit
exit
salloc: Relinquishing job allocation 656482

srun

srun launches an executable or a script onto the first available nodes of the requested queue allocating them first, if not already within a 'salloc' shell.
THIS IS THE ONLY WORKING WAY WITH MVAPICH1.9a2!

Example: run 'hostname' as 4 processes (-n option) on 2 nodes from the 'run' queue

[user@quong ~]$ srun -N 2 -n 4 -p run hostname
q010.qng
q010.qng
q011.qng
q011.qng

sbatch

sbatch submits a script (and only a script!) into a queue asking for a number of nodes.

Example: submit a script that runs 'hostname' by 'mpirun' on 3 nodes from the 'run' queue in the 'apenet_development' reservation (--reservation option)

[user@quong ~]$ cat test.sh
#!/bin/bash
mpirun hostname
[fsimula@quong ~]$ sbatch -p run --reservation=apenet_development -N 3 ./test.sh
Submitted batch job 656517

If not else specified, stdout is redirected to a file 'slurm_$jobid.out'

[fsimula@quong ~]$ cat slurm-656517.out
q012.qng
q012.qng
q014.qng
q014.qng
q013.qng
q013.qng

scancel

scancel removes a submitted job id from the queue.

Example:

[user@quong ~]$ sbatch -N 8 -p run test.sh
Submitted batch job 657280
[user@quong ~]$ squeue
  JOBID PARTITION     NAME     USER  ST       TIME  NODES NODELIST(REASON)
 657271     debug     bash epastore   R      24:19      2 q[002-003]
 657278     debug  job7.sh    delia   R      18:13      1 q000
 657279     debug  job8.sh    delia   R      18:11      1 q001
 657280       run  test.sh     user  PD       0:00      8 (ReqNodeNotAvail)
 657272       run  job1.sh    delia   R      18:29      1 q004
 657273       run  job2.sh    delia   R      18:27      1 q006
 657274       run  job3.sh    delia   R      18:26      1 q007
 657275       run  job4.sh    delia   R      18:24      1 q008
 657276       run  job5.sh    delia   R      18:22      1 q009
 657277       run  job6.sh    delia   R      18:15      1 q005
[user@quong ~]$ scancel 657280
[user@quong ~]$ squeue
  JOBID PARTITION     NAME     USER  ST       TIME  NODES NODELIST(REASON)
 657271     debug     bash epastore   R      25:44      2 q[002-003]
 657278     debug  job7.sh    delia   R      19:38      1 q000
 657279     debug  job8.sh    delia   R      19:36      1 q001
 657272       run  job1.sh    delia   R      19:54      1 q004
 657273       run  job2.sh    delia   R      19:52      1 q006
 657274       run  job3.sh    delia   R      19:51      1 q007
 657275       run  job4.sh    delia   R      19:49      1 q008
 657276       run  job5.sh    delia   R      19:47      1 q009
 657277       run  job6.sh    delia   R      19:40      1 q005

sinfo

sinfo lists currently available queues and their status.

Example output:

 PARTITION AVAIL  TIMELIMIT  NODES  STATE NODELIST
debug*       up      30:00      2  alloc q[000-001]
debug*       up      30:00      2   idle q[002-003]
run          up    4:00:00      4  maint q[012-015]
run          up    4:00:00      6  alloc q[004-009]
run          up    4:00:00      2   idle q[010-011]

squeue

squeue lists currently queued jobs in the available queues.

Example output:

 JOBID PARTITION     NAME     USER  ST       TIME  NODES NODELIST(REASON)
656479     debug  job7.sh    delia   R       4:32      1 q001
656480     debug  job8.sh    delia   R       4:24      1 q000
656473       run  job1.sh    delia   R       5:07      1 q008
656474       run  job2.sh    delia   R       5:04      1 q009
656475       run  job3.sh    delia   R       4:57      1 q004
656476       run  job4.sh    delia   R       4:44      1 q005
656477       run  job5.sh    delia   R       4:42      1 q006
656478       run  job6.sh    delia   R       4:36      1 q007

Notes

As can you see from the examples, once inside a 'salloc' shell there is no need to specify the '-n/-np' option when launching by 'mpirun'; default is to run on all cores on all allocated nodes.