Computational modeling and analysis has firmly established itself as the third pillar of scientific research, while at the same time the humanities and social sciences have been relying increasingly on information technology to carry out research. Princeton has positioned itself well to excel in this new era, building a centralized infrastructure to support the faculty and researchers with their increasing computational and digital data needs.

Princeton Research Computing, a collaborative effort led by the Princeton Institute for Computational Science and  Engineering (PICSciE) and the Office of Information Technology (OIT) Research Computing, welcomes and encourages participation from faculty in all academic departments.

Our centralized infrastructure and services are used by most academic departments, and we have built a community welcoming staff and researchers from departments that provide some or all of their own research computing infrastructure and support. The goal of our program is to provide the infrastructure and support that meet the needs and priorities of our faculty, researchers, and students.

Our comprehensive program addresses many facets of research computing:

• Education, Training & Outreach  including a graduate certificate in computational science & engineering, mini-courses, workshops, seminars, and conferences.
• Services including system administration, programming, research software engineering, cloud computing and secure research infrastructure.
• Systems including clusters and large memory servers and data storage systems for data ranging from working data sets on our computational resources to persistent published data..
• Visualization Laboratory providing scientific visualization and geospatial computing technical support and consulting, including a high-resolution display wall in the Vis Lab in the Engineering Library Fine Hall shared with the University Library.
• Server Room Facilities including the High Performance Computing Research Center completed in November 2011.