Usage policy

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To be fair to all users of the cluster, please be aware of these resource limits and usage expectations.

Scheduled Jobs

All computational jobs need to be submitted to the cluster using the job scheduler. Please read the SLURM Guide for helpful information on using the scheduler. Listed below are the runtime and resource limits for scheduled jobs.

Job property Standard QoS Limit Longrun QoS Limit Haswell384 QoS Limit
Run time (hours) 36 72 18
Cores / CPUs 48 384
Jobs 8

Unscheduled programs

Programs that are running on login node ( without using the job scheduler, are subject to certain restrictions. Any program that violates these restrictions may be throttled or terminated without notice.

Run time (minutes) CPU limit Memory limit
20 5% 5%

Below is a list of programs that are allowed on the login node without restrictions:

  • bzip
  • cp
  • du
  • emacs
  • fort
  • gcc
  • gfortran
  • gunzip
  • gzip
  • icc
  • mv
  • sftp
  • smbclient
  • ssh
  • tar
  • vim
  • wget

Data Storage

Please familiarize yourself with the data storage guidelines described on the Getting Started page. All data that is stored on the cluster is subject to the restricted described on that page, and data that is not in compliance may be removed.

Shared Read-Only Datasets

Users who need read-only datasets can contact our administrators ( to request the dataset. For example, people who study bioinformatics often need reference dataset for different organisms. The reference dataset is usually very large so user can only save them in /scratch. But. it is inconvenient to touch the dataset every 15 days to prevent deletion. If you have such kind of dataset, we can store the dataset for you. The dataset must meet the following requirements:

  • dataset is read-only, cannot be writable or executable
  • dataset is public (can be used by other users) or is restricted to a group of users

The shared dataset is under path: /scratch/scratch2/shareddata/. The data under this directory will be stored permanently. Now we have 4 reference datasets in genome directory: hg19 hg38 mm9 and mm10.

To make the linking path shorter, you can create a soft link with dataset under your home directory. For example:

$ cd 
$ link -s /scratch/scratch2/shareddata/genome ./genome