Nexus/GAMMA: Difference between revisions
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====Network Scratch Directory==== | ====Network Scratch Directory==== | ||
You are allocated | You are allocated 100GB of scratch space via NFS from <code>/gammascratch/$username</code>. '''It is not backed up or protected in any way.''' | ||
This directory is '''automounted''' so you may not see your directory if you run <code>ls /gammascratch</code> but it will be mounted when you <code>cd</code> into your /gammascratch directory. | This directory is '''automounted''' so you may not see your directory if you run <code>ls /gammascratch</code> but it will be mounted when you <code>cd</code> into your /gammascratch directory. |
Revision as of 18:42, 24 January 2024
The GAMMA lab has a partition of GPU nodes available in the Nexus. Only GAMMA lab members are able to run non-interruptible jobs on these nodes.
Access
You can always find out what hosts you have access to submit via the Nexus#Access page. The GAMMA lab in particular has a special submission host that has additional local storage available.
nexusgamma00.umiacs.umd.edu
Please do not run anything on the login node. Always allocate yourself machines on the compute nodes (see instructions below) to run any job.
Quality of Service
GAMMA users have access to all of the standard job QoSes in the gamma
partition using the gamma
account.
The additional job QoSes for the GAMMA partition specifically are:
huge-long
: Allows for longer jobs using higher overall resources.
Please note that the partition has a GrpTRES
limit of 100% of the available cores/RAM on the partition-specific nodes in aggregate plus 50% of the available cores/RAM on legacy## nodes in aggregate, so your job may need to wait if all available cores/RAM (or GPUs) are in use.
Hardware
Nodenames | Type | Quantity | CPUs | Memory | GPUs |
---|---|---|---|---|---|
gammagpu[00-04,06-09] | A5000 GPU Node | 9 | 32 | 256GB | 8 |
gammagpu05 | A4000 GPU Node | 1 | 32 | 256GB | 8 |
Total | 10 | 320 | 2560GB | 80 |
Example
From nexusgamma00.umiacs.umd.edu
you can run the following example to submit an interactive job. Please note that you need to specify the --account
, --partition
and --qos
. Please refer to our SLURM documentation about about how to further customize your submissions including making a batch submission. The following command will allocate 8 GPUs for 2 days in an interactive session. Change parameters accordingly to your needs. We discourage use of srun and promote use of sbatch for fair use of GPUs.
$ srun --pty --gres=gpu:8 --account=gamma --partition=gamma --qos=huge-long bash $ hostname gammagpu01.umiacs.umd.edu $ nvidia-smi -L GPU 0: NVIDIA RTX A5000 (UUID: GPU-cdfb2e0c-d69f-354b-02f4-15161dc7fa66) GPU 1: NVIDIA RTX A5000 (UUID: GPU-be53e7a1-b8fd-7089-3cac-7a2fbf4ec7dd) GPU 2: NVIDIA RTX A5000 (UUID: GPU-774efbb1-d7ec-a0bb-e992-da9d1fa6b193) GPU 3: NVIDIA RTX A5000 (UUID: GPU-d1692181-c7de-e273-5f95-53ad381614c3) GPU 4: NVIDIA RTX A5000 (UUID: GPU-ba51fd6c-37bf-1b95-5f68-987c18a6292a) GPU 5: NVIDIA RTX A5000 (UUID: GPU-c1224a2a-4a3b-ff16-0308-4f36205b9859) GPU 6: NVIDIA RTX A5000 (UUID: GPU-8d20d6cd-abf5-2630-ab88-6bba438c55fe) GPU 7: NVIDIA RTX A5000 (UUID: GPU-93170910-5d94-6da5-8a24-f561d7da1e2d)
You can also use SBATCH to submit your job. Here are two examples on how to do that.
$ sbatch --pty --gres=gpu:8 --account=gamma --partition=gamma --qos=huge-long --time=1-23:00:00 script.sh
OR
$ sbatch script.sh // script.sh // #!/bin/bash #SBATCH --gres=gpu:8 #SBATCH --account=gamma #SBATCH --partition=gamma #SBATCH --qos=huge-long #SBATCH --time=1-23:00:00 python your_file.py
Storage
There are 3 types of user storage available to users in GAMMA:
- Home directories
- Project directories
- Scratch directories
There is also read-only storage available for Dataset directories.
GAMMA users can also request Nexus project allocations.
Home Directories
Home directories are available from the Institute's NFShomes as /nfshomes/USERNAME
where USERNAME is your UMIACS username. These home directories have very limited storage (30GB, cannot be increased) and are intended for your personal files, configuration and source code. Your home directory is not intended for data sets or other large scale data holdings. Users are encouraged to utilize our GitLab infrastructure to host your code repositories.
Your home directory data is fully protected and has both snapshots and is backed up nightly.
Project Directories
You can request project based allocations with approval from a GAMMA faculty member.
To request an allocation, please contact staff with the faculty member(s) that approved the project in the conversation. Please include the following details:
- Project Name (short)
- Description
- Size (1TB, 2TB, etc.)
- Length in days (30 days, 90 days, etc.)
- Other user(s) that need to access the allocation, if any
These allocations will be available from /fs/gamma-projects under a name that you provide when you request the allocation. Near the end of the allocation period, staff will contact you and ask if you would like to renew the allocation (requires re-approval from a GAMMA faculty member). If you are no longer in need of the storage allocation, you will need to relocate all desired data within two weeks of the end of the allocation period. Staff will then remove the allocation. If you do not respond to staff's request by the end of the allocation period, staff will make the allocation temporarily inaccessible. If you do respond asking for renewal but the original faculty approver does not respond within two weeks of the end of the allocation period, staff will also make the allocation temporarily inaccessible. If one month from the end of the allocation period is reached without both you and the faculty approver responding, staff will remove the allocation.
This data is backed up nightly.
Scratch Directories
Scratch data has no data protection, there are no snapshots and the data is not backed up. There are two types of scratch directories:
- Network scratch directory
- Local scratch directories
Network Scratch Directory
You are allocated 100GB of scratch space via NFS from /gammascratch/$username
. It is not backed up or protected in any way.
This directory is automounted so you may not see your directory if you run ls /gammascratch
but it will be mounted when you cd
into your /gammascratch directory.
You may request a permanent increase of up to 200GB total space without any faculty approval by contacting staff. If you need space beyond 200GB, you will need faculty approval.
This file system is available on all submission, data management, and computational nodes within the cluster.
Local Scratch Directories
These file systems are not available over NFS and there are no backups or snapshots available for these file systems.
- Each computational node that you can schedule compute jobs on has one or more local scratch directories. These are always named
/scratch0
,/scratch1
, etc. These directories are local to each node, ie. the/scratch0
on two different nodes are completely separate.- These directories are almost always more performant than any other storage available to the job. However, you must stage data to these directories within the confines of your jobs and stage the data out before the end of your jobs.
- These local scratch directories have a tmpwatch job which will delete unaccessed data after 90 days, scheduled via maintenance jobs to run once a month during our monthly maintenance windows. Again, please make sure you secure any data you write to these directories at the end of your job.
- Gamma has invested in a 20TB NVMe scratch file system on
nexusgamma00.umiacs.umd.edu
that is available as/scratch1
. To utilize this space, you will need to copy data from/to this over SSH from a compute node. To make this easier, you may want to setup SSH keys that will allow you to copy data without prompting for passwords.- The
/scratch1
directory onnexusgamma00.umiacs.umd.edu
doesn't have a tmpwatch. The files in this directory need to be manually removed once they are no longer needed.
- The
Datasets
We have read-only dataset storage available at /fs/gamma-datasets
. If there are datasets that you would like to see curated and available, please see this page.
The list of GAMMA datasets we currently host can be viewed here.