Lunch & Learn: High-Performance Computing Tools

High-Performance Computing Tools Mark R. Piercy, Research Computing Technical Liaison

Come join the members of the Research Computing team to learn how high-end computing resources available at Stanford might accelerate your research! Topics will include use of the Stanford computer clusters such as Farmshare and Sherlock, GPU computing at Stanford, data centers to house your own servers, and the use of national computing resources like XSEDE and the Open Science Grid. Find out how these resources can be engaged through job schedulers or interactive mode and what types of data/analayses might benefit most from their use