Stanford
Stanford Research Computing Center

Resources

Helpful links & tutorials

Training

The Stanford Research Computing Center (SRCC) partners with ICME, the Stanford Libraries, and the NSF XSEDE project to offer a variety of training opportunities around HPC  and data technologies, methods, and tools.  Some of the areas covered in previous training are CUDA, GPU basics, Python, Introduction to Stanford HPC resources, Introduction to Sherlock, BigData, OpenMP, MPI, and Intel HPC Tools.

For more information, contact us at srcc-support@stanford.edu.

100G Network Adapter Tuning

This is an updated version of a document talking about server and network tuning to get the most from a 100g network connection. View full article

External High Performance Computing Resources

Campus resources are varied and are growing. They may well meet your needs.  But what if you need more compute, need to run larger jobs, need to manipulate more data than local systems can accommodate?  The SRCC can help link you to national compute resources, such as the OpenScience Grid and the NSF-funded XSEDE program.  Or help you decide whether cloud computing could/should be in your portfolio of computing platforms.  Contact us at srcc-support@stanford.edu and let's start the conversation.