KYRIC

 KyRIC is a large-memory cluster operated by the University of Kentucky's Center for Computational Sciences. It has five large-memory compute nodes, each with 3 TB of RAM and a 5 TB local SSD array. The shared memory and local SSD space suit memory-intensive analysis of big data, including genome sequencing, processing of large text corpora, and graph analytics. KyRIC is for single-node jobs only; multi-node jobs, such as those using MPI, are not recommended.

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Jobs

KyRIC allocations are made in core-hours. The recommended method for estimating your resource needs for an allocation request is to perform benchmark runs. KyRIC core-hour calculations should assume that all jobs will run in the normal partition and that they are charged for the use of all 40 cores on each node. 

The Slurm scheduler tracks usage to a few seconds. The system charges only for the resources you use, not those you request. 

Example job scripts can be found in the user manual.

*core-hours are cores x wall-clock hours

Queue specifications

Name Purpose CPUs GPUs RAM Jobs
30 days
Wait Time
30-day trend
Wall Time
30-day trend
normal 40 Intel Xeon E7-4280 v4 3 TB

Software

No software usage data is currently reported for KYRIC in XDMoD.

SEE ALL SOFTWARE AVAILABLE ON KYRIC


Storage

File System

Directory Path Quota Purge Backup Notes
Compute Node Local 5 TB Wiped at job end Local SSD scratch shared among all jobs on a node; deleted on job completion.
Home $HOME 10 GB Scripts and configuration only - not for datasets.
Project $PROJECT 500 GB Shared group data.
Scratch $SCRATCH 10 TB 30-day Main working area

External Storage

The 5 dedicated ACCESS nodes have exclusive access to approximately 300 TB of network attached disk storage, reachable through the compute nodes during job execution.


File Transfer

KyRIC supports SCP, RSYNC, and Globus file transfers. They recommend to transfer data through the high-speed data transfer node (DTN) and not through the login nodes. SCP and RSYNC can only be used if you have your ssh keys setup. If you are unfamiliar with Globus, see the transfer tutorial. How To Log In and Transfer Files with Globus.

 

Supported Methods Data Transfer Node URL
GLOBUS | RECOMMENDED https://app.globus.org/
SCP | RECOMMENDED kxc-dtn.ccs.uky.edu KXC Cluster
RSYNC | RECOMMENDED kxc-dtn.ccs.uky.edu KXC Cluster