Size: 2552
Comment:
|
← Revision 6 as of 2024-12-02 15:16:46 ⇥
Size: 2053
Comment: Add GPU architecture to hardware table
|
Deletions are marked like this. | Additions are marked like this. |
Line 7: | Line 7: |
The following GPU nodes are reserved for exclusive use by TIK: ||'''Server'''||'''CPU'''||'''Frequency'''||'''Cores'''||'''Memory'''||'''/scratch SSD'''||'''/scratch Size'''||'''GPUs'''||'''GPU Memory'''||'''Operating System'''|| ||lbbgpu01||Intel Xeon Gold 5120||2.20GHz||56||376 GB||✓||1.1 TB||8 RTX 2080 Ti||11 GB||Debian 11|| == Shared /scratch_net == Access to local `/scratch` of each node is available as an automount (on demand) under `/scratch_net/tikgpuNM` (Replace `NM` with an existing hostname number) on each node.<<BR>> * ''On demand'' means: The path to a node's `/scratch` will be available at first access, like after issuing `ls /scratch_net/tikgpuNM` and disappear again when unused. * `scratch_clean` is active on local `/scratch` of all nodes, meaning older data will be deleted if space is needed. For details see the man page `man scratch_clean`. |
The following GPU nodes are reserved for exclusive use by LBB: ||'''Server'''||'''CPU''' ||'''Frequency'''||'''Cores'''||'''Memory'''||'''/scratch SSD'''||'''/scratch size'''||'''GPUs''' ||'''GPU memory'''||'''GPU architecture'''||'''Operating system'''|| ||lbbgpu01 ||Intel Xeon Gold 5120||2.20GHz ||56 ||376 GB ||✓ ||1.1 TB ||8 RTX 2080 Ti||11 GB ||Turing ||Debian 11|| |
Line 22: | Line 16: |
||tikgpu.all||tikgpu[02-09]||tik-internal||Automatic for staff members|| | |
Line 27: | Line 20: |
Jobs from LBB users will overflow to partition ''gpu.normal'' in case all LBB nodes are busy, as LBB is a löaboratory contributing to the Slurm cluster besides owning nodes. | Jobs from LBB users will overflow to partition ''gpu.normal'' in case all LBB nodes are busy, as LBB is a laboratory contributing to the Slurm cluster besides owning nodes. |
LBB Slurm information
The Laboratory of Biosensors and Bioelectronics (LBB) owns nodes in the Slurm cluster with restricted access. The following information is an addendum to the main Slurm article in this wiki specific for accessing these LBB nodes.
If the information you're looking for isn't available here, please consult the main Slurm article.
Hardware
The following GPU nodes are reserved for exclusive use by LBB:
Server |
CPU |
Frequency |
Cores |
Memory |
/scratch SSD |
/scratch size |
GPUs |
GPU memory |
GPU architecture |
Operating system |
lbbgpu01 |
Intel Xeon Gold 5120 |
2.20GHz |
56 |
376 GB |
✓ |
1.1 TB |
8 RTX 2080 Ti |
11 GB |
Turing |
Debian 11 |
Accounts and partitions
The nodes are grouped in partitions to prioritize access for different accounts:
Partition |
Nodes |
Slurm accounts with access |
Account membership |
lbbgpu.normal |
lbbgpu01 |
lbb |
On request* for staff, guests and students |
* Please contact the technical contact of LBB to have you granted account membership
Overflow into gpu.normal
Jobs from LBB users will overflow to partition gpu.normal in case all LBB nodes are busy, as LBB is a laboratory contributing to the Slurm cluster besides owning nodes.
Rules of conduct
There are no limits imposed on resources requested by jobs. Please be polite and share available resources sensibly. If you're in need of above-average resources, please coordinate with other LBB Slurm users.
Improving the configuration
If you think the current configuration of LBB nodes, partitions etc. could be improved:
- Discuss your ideas with your colleagues
- Bring your ideas to your technical contact
The technical contact will streamline your ideas into a concrete change request which we (ISG D-ITET) will implement for you.