Stanford’s FarmShare resources are focused on making it easier to learn how to parallelize research computing tasks and use research software including a “scheduler” or “distributed resource management system” to submit compute jobs. By using FarmShare, new researchers can more easily adapt to using larger clusters when they have big projects that involve using federally funded resources, shared Stanford clusters, or on a small grant funded cluster. Full SUNet (or sponsorship) required.
FarmShare currently has:
- 14 login nodes with access to AFS.
- Five 96 GB (RAM) compute nodes.
- Two 767 GB RAM compute nodes.
- Ten 128 GB RAM nodes with an nVidia Tesla K40.
- Shared storage for your group or class.
For information on how to connect to and use this resource, see the FarmShare instructions and documentation here on the SRCC website.
You can find more detailed technical specifications on the Farmshare wiki.
Additional documentation for FarmShare, Unix/Linux, and AFS are available on the Shared Computing pages of the University IT website.