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 with more than 90,000 total cores and over 8.7 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. 


PICSciE Colloquium: Efficient Computation through Tuned Approximation, 3/22/23, 120 Lewis Library, 11:45am-1:15pm

PICSciE will be hosting a talk with David Keyes who directs the Extreme Computing Research Center at the King Abdullah University of Science and Technology (KAUST) .  Lunch will be served at 11:45am and the talk will begin at 12:15pm. 

Deep Modeling for Molecular Simulation 2023, 7/11/23-7/14/23

The workshop will take place in the Department of Chemistry at Princeton University. The event will be fully in person, and is targeted at PhD students and young postdocs. We will have lectures in the mornings and hands-on sessions in the afternoons. The lectures will be given by well-known researchers in the…

Help Session

Weekly Help Sessions (Tuesdays)
Mar 28, 2023, 10:30 am

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 500 GPUs provide 10.2 PFLOPS of computational power.