Compute Cluster and Data Storage - Research Computing Services

If your computer is overheating when trying to work with your data, taking days to run a program, or you are running out of space to store your data, consider moving your data processing and storage to the HBS computer cluster (aka "the HBSGrid" or "the Grid").

Please note that all documentation about the HBSGrid has been moved to a self-contained, searchable documentation site here: https://hbs-rcs.github.io/hbsgrid-docs/ .

Compute Cluster

The HBS compute cluster (HBSGrid) is an advanced computing environment that provides high-speed, high-capacity computing resources to enable HBS researchers to scale up effectively and efficiently conduct statistical analysis and programming.

Other Research Computing Environments

FASRC Cannon cluster

HBS personnel are able to use the resources at Faculty of Arts and Sciences Research Computing (FASRC) to conduct their research. These include access to larger storage pools and compute resources than are available at HBS. There are costs associated with using these resources. Please contact RCS if you have questions or for a consultation before signing on for a FASRC account and resources.

If you already have a FASRC account and need help, please visit their support page, see their FAQs, or request help via email or their RC Ticket page (login required).

ACCESS

The National Science Foundation's Allocated Production Compute/Storage/Cloud (ACCESS) is an advanced cyberinfrastructure system providing advanced computing and data resources. Access to large-scale computing systems, storage, and other resources are available to researchers and educators.

Amazon Web Services (AWS)

HBS personnel can use AWS to conduct their research. AWS provides a number of services for its customers, including 'bare metal'; unconfigured virtual machines; machine images with preset RAM, CPU, and operating system configurations; machine images pre-configured with software packages; and database hosting, among others.

We advise you to please contact RCS if you have questions or for a consultation before signing on to AWS resources. As AWS can be costly, this consultation will ensure that AWS is the appropriate solution for your research needs.