Princeton Research Computing

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.


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. 


Deep Modeling for Molecular Simulation 2024, June 25-28, 2024

The event will be fully in person, and is targeted at PhD students and young postdocs eager to learn more
about deep modeling for molecular simulation. During the four days, we will have lectures in the mornings and
hands-on sessions in the afternoons. …

Help Session

Help Session @ Stokes
Jun 24, 2024, 3:00 pm
Weekly Help Sessions (Tuesdays)
Jun 25, 2024, 9:30 am
Weekly Help Sessions (Thursdays)
Jun 27, 2024, 1:00 pm

Research News

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.


Over 90,000 CPU-cores and 950 GPUs provide 30 PFLOPS of computational power.