Computing to Support Research

Stanford Research Computing Center

The Stanford Research Computing Center (SRCC) is a joint effort of the Dean of Research and University IT to build and support a comprehensive program to advance research at Stanford.  That includes offering and supporting traditional high-performance computing (HPC) systems, as well as systems for high throughput and data-intensive computing, platforms for working with high-risk data, and data storage at scale.  But it's not just about the hardware. SRCC team members also help researchers transition their analyses and models from the desktop to more capable and plentiful resources, providing the opportunity to explore their data and answer research questions (on-premise or in the cloud) at a scale typically not possible on desktops or departmental servers.  Often partnering with units like ICME as well as the NSF XSEDE program and select vendors, the SRCC offers training and learning opportunities around high-end computing tools and technologies.  In addition, we provide consultation to help you find the best solution for the kinds of computing and analytics you want to do.

Visit the Stanford Research Computing Center

UIT Research Computing

Consulting, server hosting, system administration, and data storage are available to support computationally intensive research computing. A centrally managed, high-density data center provides safe, secure, and reliable server hosting and a 10 GB network connection to the campus backbone. Access to research services and equipment is aided by a web-based facilities management system.

Visit UIT's Research Computing 

Stanford Nero Computing

Nero is designed to support Big Data team science. Big Data research benefits from the availability of High Risk and PHI compliant environments, whether for analysis of social network data or health data. Nero brings the analytical communities across different disciplines together to work in a collaborative and secure environment.

Visit the Nero website to get started