Izar#
Academic Cluster
This cluster is for Master students and courses. For pay-per-use accounts, you can check Kuma.
Useful info#
Connecting to the clusters#
To connect to the cluster you should:
Here's the list of current fingerprints you should expect when connecting to this cluster:
ECDSA
MD5:75:bf:66:87:94:39:94:93:9a:be:b5:06:2a:89:a4:67
SHA256:CmnfF53AEyqgT0t0PfoRRxZ/3cLbanzMPZ4jcEmlItw
ED25519
MD5:2a:9e:b4:bd:d5:2c:0c:7e:22:db:a9:b3:fb:ab:13:b6
SHA256:q327bbvtHQTCLisv7au0d3rxw2JWO/+l3Gn2l0Z8AD4
RSA
MD5:63:eb:8c:b5:d8:ef:2f:df:c1:9f:ab:85:c3:30:29:2c
SHA256:JVMVBiqHiXVjcwzIpISxtxZHArjfYbBjoV6o3XUbkoA
QOS#
The standard QOS are:
gpu
for jobs using up to 8 nodes, with a time limit of 3 days. This is the default;long
for jobs using up to 8 nodes, with a time limit of 7 days;debug
for testing you job on up to 2 GPUs (over two nodes if needed), with a time limit of 1 hour and with a high priority;build
for compiling codes, with up to 20 cores, 90 GB of RAM, zero GPUs, and a time limit of 4 hours.
Choose one with -q <qos>
or --qos <qos>
.
Partitions#
There are 3 partitions on Izar:
gpu
, the default one, which can be used for most jobs;gpu-xl
, requests specifically access to the 2 XL nodes with 4 gpus each;test
, gives you access to the test node and can be used with the gpu QOS.
Choose one with -p <partition>
or --partition <partition>
.
Hardware characteristics#
This cluster has the following configuration:
Type | Count | Model | CPU | Memory | Storage | Naming | GPU # | GPU Model |
---|---|---|---|---|---|---|---|---|
Frontend | 1 | ProLiant XL190r Gen10 (U38) | Intel(R) Xeon(R) Gold 6230 CPU @ 2.10 GHz | 196 GB | 3.2 TB (NVMe) | izar1 | NA | NA |
Compute node | 35 | ProLiant XL190r Gen10 (U38) | Intel(R) Xeon(R) Gold 6230 CPU @ 2.10 GHz | 196 GB | 3.2 TB (NVMe) | i[01-35] | 2 | NVIDIA Corporation GV100GL Tesla V100 PCIe 32GB |
Compute node | 35 | ProLiant XL190r Gen10 (U38) | Intel(R) Xeon(R) Gold 6230 CPU @ 2.10 GHz | 384 GB | 3.2 TB (NVMe) | i[36-70] | 2 | NVIDIA Corporation GV100GL Tesla V100 PCIe 32GB |
Compute node | 2 | ProLiant XL270d Gen10 (U45) | Intel(R) Xeon(R) Gold 6230 CPU @ 2.10 GHz | 768 GB | 3.2 TB (NVMe) | ixl0[1,2] | 4 | NVIDIA Corporation GV100GL Tesla V100 SXM2 32GB |
Admin server | 1 | ProLiant DL360 Gen10 Plus (U46) | Intel(R) Xeon(R) Gold 5317 CPU @ 3.00 GHz | 64 GB | 3.8 TB (NVMe) | iadmin1 | NA | NA |
Proxy server | 1 | Dell PowerEdge R630 | Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10 GHz | 64 GB | 400 GB (SCSI) | scitas-internal-ismartproxy | NA | NA |
Gateway server | 1 | HPE ProLiant DL380 Gen10 (U30) | Intel(R) Xeon(R) Gold 5215 CPU @ 2.50 GHz | 128 GB | 2.4 TB (SCSI) | igw | NA | NA |