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Princeton Institute for Computational Science and Engineering (PICSciE)/Terascale Infrastructure for Groundbreaking Research in Science and Engineering (TIGRESS)

Research computing at Princeton University engages academic departments and disciplines across the natural sciences, engineering, social sciences, and humanities. The Princeton Institute for Computational Science and Engineering (PICSciE) and the Office of Information Technology (OIT) work together to provide the computational and digital data infrastructure and support that meet the research needs and priorities of Princeton's faculty, researchers, and students. The resources and services we provide centrally include computational and visualization hardware, software, system administration, programming, and visualization support. Please browse these pages for information about the outstanding research and central and departmental resources supporting research computing at Princeton University.

The Terascale Infrastructure for Groundbreaking Research in Science and Engineering (TIGRESS) High Performance Computing Center and Visualization Laboratory at Princeton University is a collaborative facility that brings together funding, support, and participation from the Princeton Institute for Computiational Science and Engineerging (PICSciE), the Office of Information Technology (OIT), the School of Engineering and Applied Science (SEAS), the Lewis-Sigler Institute for Integrative Genomics (Genomics), the Princeton Institute for the Science and Technology of Materials (PRISM), the Princeton Plasma Physics Laboratory (PPPL), and a number of academic departments and faculty members. The facility is designed to create a well balanced set of High Performance Computing (HPC) resources meeting the broad computational requirements of the Princeton University research community.

Contributing faculty and departments are guaranteed access to the systems based on their contributions. Other researchers from Princeton University can gain access to the resources through a proposal process.  A current table of our computational resources along with more detailed information can be found on our Computational Hardware webpage.



  1. Della

    Della is a 128-node Intel Westmere computer cluster, originally acquired through a joint effort of Astrophysics, the Lewis-Sigler Institute for Integrative Genomics, PICSciE and OIT. It is intended as a platform for running production parallel jobs. Each processor has at least 4 GB of RAM allowing for large per task memory requirements. Half (64) of the nodes have 8 GB of RAM per processor. All are connected via a QDR Infiniband high bandwidth low latency network allowing for developing, testing, scaling and benchmarking codes in this environment.