Research Computing Environment
The Research Computing Environment (RCE) is a large powerful computer cluster that you can use for computations that are too large to be conveniently done on a personal computer
About the RCE
We designed our RCE cluster (a large, powerful pool of computers) around open standards for reliability, scalability, extensibility, and interoperability. We use hardware from major vendors and a standard, enterprise-grade Linux distribution customized to address the specific needs of our users.
Project space can be used privately, or shared with collaborators (hence the name, "shared space"). Because our researchers bring confidential data to the RCE, we keep all project space separate from your home directory.
Data & Software Environment
Data Levels Supported
IQSS/HMDC can only support up to Level 3 data.
When you apply for an RCE account, you are asked which category would best suit your needs. Therefore, you should know ahead of time if your data is rated as confidential information by your IRB.
The following statistical applications are available on the RCE:
- GAUSS (8, 14)
- Mathematica (latest version)
- MATLAB (latest version)
- Octave (latest version from EPEL repo)
- R (latest version from EPEL repo)
- SAS (latest version)
- Stata SE and MP (latest version)
Tools & Utilities
Many common code and text editors are available, such as:
Version control tools are available to interact source code repositories:
You can access the RCE login nodes from any modern workstation or laptop with a high-speed connection. Please note, you'll need to connect to Harvard's VPN in order to use the RCE, whether you are connecting via NoMachine (NX), or SFTP (eg FileZilla) or SSH.