Difference between revisions of "Rocky Kivlin"
| Line 1: | Line 1: | ||
= About = | = About = | ||
Kivlin Lab has purchased compute resources on the [[Rocky User Guide|Rocky cluster]]. These resources are only available to accounts associated with the Kivlin Lab. | Kivlin Lab has purchased compute resources on the [[Rocky User Guide|Rocky cluster]]. These resources are only available to accounts associated with the Kivlin Lab. When [[Rocky Access Form|requesting an account]], please specify your association with the lab to gain access to these resources. | ||
Revision as of 22:00, 12 February 2024
About
Kivlin Lab has purchased compute resources on the Rocky cluster. These resources are only available to accounts associated with the Kivlin Lab. When requesting an account, please specify your association with the lab to gain access to these resources.
Kivlin Partition
Below are the nodes in the Kivlin Partition:
| Node | Type | Architecture | vCPU | Memory | Exclusivity |
|---|---|---|---|---|---|
| bull1 | compute | Xeon Gold 6430 (Sapphire Rapids) | 128 | 512G | 2/13/2024 - 2/13/2027 |
Usage
By default, accounts will use the compute_all partition which includes all shared pool resources. When submitting a job to Rocky, you will need to specify the kivlin partition as part of your batch file.
Example batch file:
#SBATCH --partition=kivlin,compute_all #SBATCH --job-name=PYTHON_PRIME #SBATCH --output=python_prime_%j.out #SBATCH --mail-user=me@test.com #SBATCH --mail-type=END module load Python python3 prime.py
In the above batch file, you can see that we specify the kivlin partition followed by the compute_all partition. With these parameters, the job scheduler will look for available resources on the kivlin partition first. If all those are in use it will then use resources from the shared pool.
