language_lab:cluster
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Smallvoice - the Language and Voice lab computing cluster
Smallvoice, uses Slurm workload manager to create a computing cluster
The Cluster has 6 nodes :
| Node name | Role(s) |
|---|---|
| atlas | management node, worker |
| freedom | login node, worker |
| hercules | worker node |
| samson | worker node |
| goliath | worker node |
| obelix | worker node |
When logged on to the cluster user is always on the login node, freedom and does all his work there.
/home (& work) are hosted on a NFS server, so every nodes have the same “physical” disks
The computing (slurm) environment
There are 3 queue's / partitions),
| Name | Cores | Memory | Nodes | Usage |
|---|---|---|---|---|
| allWork | 4 | staff only | ||
| doTrain | 4 | staff only | ||
| beQuick | 1 | for students | ||
The default queue is doTrain so it's not necessery to choose a queue, but it's possible to specify a different one.
Installed software and drivers
* NVIDIA A100 GPU drivers
* CuDA toolkit [version 11.7]
* Intel oneAPI Math Kernel Library
* Python 3.9.2
* pip 20.3.4
language_lab/cluster.1672917873.txt.gz · Last modified: (external edit)