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.
A seminar series highlighting research on both physics-inspired approaches to understanding ML and the use of ML for physics applications. Wednesdays 4:30 - 5:30pm in Jadwin Hall, Room A10 with light refreshments after the presentation from 9/27-11/29. Register now!
Professor Michael Mueller, the program director of the graduate certificate will be available to answer questions. This will take place at 103 Maeder 12-1pm. Register here.
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.