HOWTO: Use a Conda Environment With Jupyter

Before Conda environments may be used by Jupyter Notebooks they must be installed so that Jupyter knows about them. Older versions of Conda automatically installed a Jupyter kernel for themselves, that installation process now must be performed manually by the user.

To perform the installation the user should load their prefered version of Python, activate their Conda environment and run the following command:

Rolling Reboot

We will have rolling reboots of all three clusters (Owens, Ruby, and Pitzer) including login and compute nodes, starting from 9:30 AM Wednesday, June 05, 2019. The rolling reboots will address the caching problems on the file systems. The rolling reboots won't affect any running jobs, but users may experience longer queue wait time than usual on the cluster. We apologize for any inconvenience this may cause you. Please contact if you have any questions.


OSC is changing the default version of MATLAB on all clusters from R2018a to R2018b effective Friday, April 26th. Several bugs exist in R2018a that have been addressed in R2018b. This change may cause some MATLAB jobs to fail. To review release notes for R2018b, please visit this link: To continue using R2018a in your jobs, you need to load the module "matlab/r2018a". If you need any assistance at all, please contact


A downtime for all HPC systems is scheduled from 7 a.m. to 5 p.m., Tuesday, May 21, 2019. The downtime will affect the Pitzer, Ruby and Owens Clusters, web portals and HPC file servers. Login services, including, access to storage and the HyperWorks license server hosted by OSC will not be available during this time. In preparation for the downtime, the batch scheduler will begin holding jobs that cannot be completed before 7 a.m., May 21, 2019. Jobs that are not started will be held until after the downtime and then started once the system is returned to production status.

Run your MD simulations on Anton

The Pittsburgh Supercomputing Center (PSC, is soliciting proposals for computer time on Anton 2, a special-purpose supercomputer for molecular dynamics (MD) simulation designed by D. E. Shaw Research (DESRES). Anton enables scientists to perform MD simulations of biomolecular systems nearly two orders of magnitude faster than the previous state of the art. To maximize the benefit of Anton to the scientific community, proposed projects should focus exclusively on questions that will be greatly advanced by the unique capabilities of Anton.