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About Cypress
Cypress is Tulane's newest HPC cluster, offered by Technology Services for use by the Tulane research community. It is a 124-node cluster, with each node providing dual 10-core 2.8 GHz Intel Xeon E5-2680 v2 CPUs, 64 GB of RAM, and dual Xeon Phi 7120P coprocessors. Nodes are interconnected on a 40 Gigabit Ethernet network using a single Dell Z9500 Ethernet Fabric Switch.
Getting an account
All accounts must be associated with a Tulane faculty member who is the Principal Investigator (PI) of his/her research group. Please have your PI contact us to establish a group on Cypress. (If some members of your group have Cypress accounts, your group is already established.) After your group is established, visit Tulane Service Now at:
HPC & Globus Request (Bundle)
to request an account. After logging in with your Tulane credentials, you'll see the "Tulane IT Portal" where you'll select "Request Something". From the categories in the left sidebar select "Cypress HPC", then "Cypress HPC Request" and fill out the form. (See also https://it.tulane.edu/acceptable-use-policy.)
Account Deactivation
Cypress accounts can be deactivated due to inactivity or change of a user's status at Tulane. See Account Deactivation
Logging in to Cypress after your account is created
Cypress provides two login nodes:
cypress1.tulane.edu cypress2.tulane.edu
You will need a secure shell (SSH) client to log in. Your username and password will be the same as that for your Tulane user account. To reset your password, visit:
Note that this will also change your password for your e-mail and Single Sign On applications.
Storage on Cypress
For information on the following, see Storage on Cypress.
- Home: Storage on your home directory and quotas
- LUSTRE: Storage on your group's shared LUSTRE project directory and quotas
- Maintenance procedures: Procedures performed at regular intervals for the following
- Quota reconciliation: Quota reduction due to under use
- Data retention: Data removal due to inactivity
Software on Cypress
Software on Cypress is organized using the Environment Modules (modules) package. The modules command is "module". To see the available software, run:
module avail
To load a specific package for use, you can run "module add", for example:
module add intel-psxe
to load Intel Parallel Studio.
Specialized software requirements
- Gaussian 09--Use of the Gaussian 09 software requires you to be in the gaussian group. Contact us to have your account added.
SLURM (resource manager)
Cypress uses SLURM to manage job submission. For general information and documentation, see the SLURM website:
http://slurm.schedmd.com/documentation.html
A slurm QOS (quality of service) is similar to a queue in other resource managers (e.g. TORQUE). Cypress has several QOSs available for jobs. Each QOS has limits on the requestable resources, as shown below:
| QOS limits | |||
|---|---|---|---|
| QOS name | maximum job size (node-hours) | maximum walltime per job | maximum nodes per user |
| interactive | N/A | 1 hour | 1 |
| normal | N/A | 24 hours | 25 |
| long | 168 | 168 hours | 8 |
The "normal" QOS is intended for users running parallel programs. This is the preferred type of usage to best take advantage of Cypess's parallel processing capability. Each user is limited to simultaneous usage of 18 nodes (360 cores) over all his/her jobs.
The "long" QOS is intended for jobs which are not very parallel, but have longer runtime. Each job has a job-size limit of 168 node-hours, calculated as the number of nodes requested multiplied by number of hours requested. For example a job submitted to the long QOS may request 1 node for 7 days, or 2 nodes for 3.5 days. You are limited to 8 nodes across all your jobs in this QOS. So, for example, you may run up to 8 jobs each using 1 node and running for 7 days.
The "interactive" QOS is intended to be used for testing SLURM script submission, and is limited to 1 job per user. See interactiveQOS
See below for details:
Citation / Acknowledgment
We would greatly appreciate acknowledgment in papers, posters, presentations, or reports resulting from the use of Tulane HPC resources. We suggest something similar to the following:
"This research was supported in part using high performance computing (HPC) resources and services provided by Information Technology at Tulane University, New Orleans, LA."
We would also appreciate informing us of any publications resulting from use of Tulane HPC resources. This information is important for acquiring funding for new resources.
Getting help / Contact us
Contact us by Cypress HPC Consultation.
