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. This collaborative effort, which is led by the Princeton Institute for Computational Science and Engineering (PICSciE) and the Office of Information Technology (OIT) welcomes and encourages participation from faculty in all academic departments.
Our centralized infrastructure and services are used by more than two dozen 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 and Outreach including courses, mini-courses, colloquia, seminars, and technical talks.
- Services and Support including system administration, programming, and web based services for code development.
- Computational hardware including clusters and large memory servers comprising Princeton University's TIGRESS HPC Center.
- Visualization Laboratory providing scientific visualization and geospatial computing technical support and consulting, including a high-resolution display wall in the lab.
- Online and archival storage for data ranging from working data sets on our computational resources to persistent published data.
- Server Room Facilities including our new 46,000 square foot, 5 MW High Performance Computing Research Center completed in November 2011.