Enabling high-impact research by bringing education and advanced computing
to the Princeton community
Princeton Research Computing operates four large clusters and several smaller systems with more than 45,000 total cores and over 4 PFLOPS of processing power.
Supporting faculty, researchers and students with in-person and online help, software engineering, visualization and consulting on a wide range of research software tools.
An extensive educational, training, and outreach program in research computing, led by PICSciE, is available on campus and online.
Research computing at Princeton University engages academic departments and disciplines across the natural sciences, engineering, social sciences, and humanities.
Facts and Figures
Accounts (faculty, staff, and students) from more than 50 academic departments, centers, programs, and institutional partners such as PPPL and GFDL currently use Princeton Research Computing's high-performance computing systems.
Students, postdocs, staff, and faculty members from over 45 departments and centers registered to attend computing and data science-centric workshops and mini-courses in the past year.
Graduate students from over 20 academic departments are enrolled in PICSciE's Graduate Certificate in Computational Science and Engineering program.