The diagram below illustrates the login path.
NOTE: The clusters can still access the internet directly. This may be useful when copying data from servers outside the NYU Network - see: How to copy files to and from the HPC clusters.
NOTE: Alternatively, instead of login to the bastion host, you can use VPN to get inside NYU's network and access the HPC clusters directly. Instructions on how to install and use the VPN client are available here.
NOTE: You can't do anything on the bastion host, except
ssh to the HPC clusters.
In a nutshell
From within the NYU network, that is, from an on-campus location, or after you VPN inside NYU's network, you can login to the HPC clusters directly.
To login to the HPC cluster Prince, simply use (replace NYUNetID with your NetId).:
To login in to the Hadoop cluster (Dumbo)
- From an off-campus location (outside NYU-NET), logging in to the HPC clusters is a two-step process:
First login to the bastion host, hpc.nyu.edu or hpc2.nyu.edu From a Mac or Linux workstation, this is a simple terminal command (replace NYUNetID with your NetId). Your password is the same password you use for NYU Home:
You can't do anything on the bastion host, except
sshto the cluster
Next login to the cluster. For Prince, this is done with:
For Dumbo, this is done with:
The full story
You need to ensure your workstation has the necessary software and settings to connect to the clusters and to use graphical interfaces. Here are instructions for preparing your workstation and logging in from a Windows / Linux / Mac .
SSH tunneling for easier login and data transfer
The two-stage access can be inconvenient, especially when transferring files to and from the clusters. Secure direct access and file transfer is possible by setting up SSH tunneling from your workstation to the HPC clusters. We have instructions on setting this up for Windows / Linux / Mac workstations.
What can I do on the login node?
The login nodes (prince and dumbo) are for preparing, submitting and monitoring scripts, analyzing results, moving data around and code development and simple compilation. Login nodes are Not suitable for running computational workloads! - for Prince use this batch system.
Compiling a large source codebase, especially with heavy use of optimization or
-ipo (interprocedural optimization), can use much memory and CPU time. In such circumstances it is best to use the batch system for compilation too, perhaps via an interactive batch job. Click here for more info about interactive batch jobs.