PPPL Research Computing
PPPL's Research Computing Center provides both batch and
interactive scientific computing for PPPL, Princeton's graduate
school programs located at PPPL, and the fusion community. It
processes parallel computing, single CPU, as well as
shared memory batch jobs in a variety of sub clusters.
The design goals of the center are high performance, ease of
use, and support for the mid to small size jobs not favored by
the large leadership computing sites.
Using PPPL Clusters
**** NEW JOB SECHEDULING PROTOCOL STARTING January 07 2017 ****
Graphical Menu Interface for Submitting Jobs
A Users Guide for the PPPL cluster
Other usage examples
Access, usage, and filesystem information
NX (NoMachine) - Virtual Desktop instructions
Monitoring the Cluster (or your job)
Job scheduler information
Cluster usage statistics by queue * Internal only
Graphical monitoring of cluster node performance * Internal only
Transp Grid Monitor (for running jobs)
Transp Grid Monitor (for stopped jobs)
Recover your files
How to recover your files if you accidentally deleted them
Data Transfer using Globus Online
How to move large data sets from trusted labs to your project area at PPPL
The research clusters are supported by the Systems and Network division, part of
the Information Technology Department.
To open a support request, please submit a
help desk ticket.
A simple MPICH-2 User's Guide
Kruskal Infiniband cluster User's Guide
Glossary of Terms
Frequently Asked Questions (FAQs)
There are additional resources on Princeton's main campus that are available for PPPL users.
Hecate SGI System
Knights Landing Test Systems