Atlas FDR system¶
How to log into Atlas FDR¶
To establish a connection a SSH client is necessary. Please, refer to SSH for more information.
Establish connection Atlas-FDR:
$ ssh username@atlas-fdr.sw.ehu.es
As long as you are in our subnet of using EHU/UPVs VPN, you also establish direct connection with the login nodes:
$ ssh username@atlas-fdr-login-01.sw.ehu.es
$ ssh username@atlas-fdr-login-02.sw.ehu.es
You would need to bring your files and data over, compile your code or use the compiled one, and create a batch submission script. Then submit that script so that your application runs on the compute nodes. Pay attention to the various file systems available and the choices in programming environments.
Specifications¶
Compute Node | # nodes | Processor | # of cores | memory (GB) |
---|---|---|---|---|
atlas-[001-018] | 18 | Intel Xeon E5-2680 v3 | 24 | 512 |
atlas-[019-073] | 55 | Intel Xeon E5-2680 v3 | 24 | 128 |
atlas-[074-106] | 33 | Intel Xeon E5-2680 v3 | 24 | 256 |
atlas-[107-170] | 64 | Intel Xeon E5-2683 v4 | 32 | 256 |
atlas-[171-194] | 24 | Intel Xeon Gold 6140 | 36 | 384 |
atlas-[195-199] | 5 | Intel Xeon Gold 6140 | 36 | 1536 |
atlas-[200-201] | 2 | Intel Xeon E5-2683 v4 | 32 | 256 |
atlas-[202-209] | 8 | Intel Xeon Platinum 8164 | 52 | 128 |
Filesystems and IO¶
Filesystem | Mount point | Quota | Size | Purpose | Backup |
---|---|---|---|---|---|
scratch | /scratch | 500 GB | 88 TB | running jobs | No |
lscratch | /lscratch | None | 700 GB | running single node jobs | No |
Home directories | /dipc | None | 880 TB | storage | Daily |
Login Nodes¶
- Atlas FDR has 2 login nodes (atlas-fdr-login-01 and atlas-fdr-login-02).
- Each node has two sockets populated with a 6 core Intel Xeon E5-2609 v3 each.
- Each node has 64 GB of RAM.
Warning
Remember that login nodes should only be used to do small tasks or compilation and not to run interactive jobs.
In case a multi-process execution or high memory demanding process is detected on a login node, all the user processes will be terminated, and the user will be banned from the cluster until contacting with suppor-cc@dipc.org
Job submission¶
Here you will find some batch scripts you can use as template to submit your jobs. For more specific information about how to submit jobs please visit SLURM resource manager webpage.
QoS and partitions¶
Users can request a partition for each job they submit. These are the available partitions:
Partition | Description |
---|---|
general (D) | Partition that includes all the publicly available nodes. |
preemption | Partition that includes nodes belonging to specific research groups and that are publicly available with restrictions. |
*(D) = Default partition
On Atlas-FDR, we conceptualize a partition as a set of nodes to which we can associate a Quality of Service (QoS). As such, we only have two partitions, being one the general
partition that encompasses all nodes for public or general use, and the preemption
partition, which exhibits distinct behavior that we will elaborate on later. This preemption
partition includes all nodes exclusively designated for use by their respective ownership groups.
Having explained this, users must select one of the following QoSs when submitting a job:
QoS | Priority | MaxWall | MaxNodesPU | MaxJobsPU | MaxSubmitPU | MaxTRES |
---|---|---|---|---|---|---|
regular (D) | 200 | 1-00:00:00 | 24 | 50 | ||
test | 1000 | 00:10:00 | 2 | 2 | 2 | |
long | 200 | 2-00:00:00 | 24 | 20 | ||
xlong | 200 | 8-00:00:00 | 12 | 10 | ||
serial | 200 | 2-00:00:00 | 500 | cpu=1 gpu=1 node=1 |
*(D) = Default QoS
This is what each columns means:
MaxWall
: Maximum amount of time the job is allowed to run.1-00:00:00
reads as one day or 24 hours.MaxNodesPU
: Maximum amount of nodes user's jobs can use at a given time.MaxJobsPU
: Maximum number of running jobs per user.MaxSubmitPU
: Maximum number of jobs that can be submitted to the QoS/partition.MaxTRES
: Maximum amount of trackable resources.
Tip
If your jobs require longer execution times or more nodes, contact us. Limits can be adjusted and custom QoS/partitions can be temporarily created to match your purposes by specifying an appropriate Quality of Service (QOS).
srun
¶
Using srun
in your batch scripts simplifies jobs execution. srun
will directly gather the information provided in the resource specification list and will allocate the resources for the job automatically. Some example of batch script using srun
are provided bellow.
Basic submission script for MPI applications¶
Atlas: SLURM with srun
#!/bin/bash
#SBATCH --qos=regular
#SBATCH --job-name=JOB_NAME
#SBATCH --cpus-per-task=1
#SBATCH --mem=200gb
#SBATCH --nodes=8
#SBATCH --ntasks-per-node=48
module load program/program_version
srun binary < input
Atlas: SLURM
#!/bin/bash
#SBATCH --qos=regular
#SBATCH --job-name=JOB_NAME
#SBATCH --cpus-per-task=1
#SBATCH --mem=200gb
#SBATCH --nodes=8
#SBATCH --ntasks-per-node=48
module load program/program_version
mpirun -np $SLURM_NTASKS binary < input
Basic submission script for OpenMP applications¶
For a OpenMP application the number of threads can be controlled defining the OMP_NUM_THREADS
or SLURM's --cpus-per-task
job directive. If this variable is not defined, the number of threads created will be equal to the amount of cores reserved in your cpuset, that is, the number of cores requested in the batch script.
Batch script: OpenMP job with srun
#!/bin/bash
#SBATCH --qos=regular
#SBATCH --job-name=JOB_NAME
#SBATCH --cpus-per-task=48
#SBATCH --mem=200gb
#SBATCH --nodes=1
#SBATCH --ntasks-per-node=1
module load program/program_version
srun binary < input
Batch script: OpenMP job
#!/bin/bash
#SBATCH --qos=regular
#SBATCH --job-name=JOB_NAME
#SBATCH --cpus-per-task=48
#SBATCH --mem=200gb
#SBATCH --nodes=1
#SBATCH --ntasks-per-node=1
module load program/program_version
export OMP_NUM_THREADS=$SLURM_CPUS_PER_TASK
binary < input
Basic submission script for Hybrid (MPI+OpenMP) applications¶
Batch script: Hybrid (MPI+OpenMP) job
#!/bin/bash
#SBATCH --qos=regular
#SBATCH --job-name=JOB_NAME
#SBATCH --cpus-per-task=4
#SBATCH --mem=200gb
#SBATCH --nodes=2
#SBATCH --ntasks-per-node=12
module load program/program_version
export OMP_NUM_THREADS=$SLURM_CPUS_PER_TASK
mpirun -np $SLURM_NTASKS binaryi < input
Batch script: Hybrid (MPI+OpenMP) job with srun
#!/bin/bash
#SBATCH --qos=regular
#SBATCH --job-name=JOB_NAME
#SBATCH --cpus-per-task=4
#SBATCH --mem=200gb
#SBATCH --nodes=2
#SBATCH --ntasks-per-node=12
module load program/program_version
export OMP_NUM_THREADS=$SLURM_CPUS_PER_TASK
srun -n $SLURM_NTASKS binary
Software¶
Compiling your code¶
Intel compilers are recommended for building your applications on Atlas FDR. There is no system default modulefile that takes care of this. Use the module avail command to see what versions are available and load an Intel compiler module before compiling. For example:
$ module load intel/2019b
Notice that when a compiler module is loaded, some environment variables are set or modified to add the paths to certain commands, include files, or libraries, to your environment. This helps to simplify the way you do your work.
As an alternative, Atlas FDR also offers a collection of open source tools such as compilers or scientific libraries. Use module avail command to see versions available. For example:
module load foss/2017b
module load FFTW/3.3.6-foss-2017b