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Oksana Shadura, a software developer at University of Nebraska-Lincoln based at CERN, Switzerland, is creating an interactive analysis facility for the high-energy physics community. Working with IRIS-HEP’s Data Organization, Management and Access team (DOMA@IRIS-HEP), Dr. Shadura helps physicists work with the wider Python ecosystem and other novel programming paradigms. Credit: CERN
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Bill Dorland with the Stellar high-performance computing cluster. (Dorland photo by Alison Harbaugh; Stellar photos by Kevin Abbey, PICSciE; Collage by Elle Starkman/Office of Communications)
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Instructor Matthew Cahn (top row, second from left) leads the workshop Introduction to Programming Using Python.
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Team leader C.S. Chang with image of turbulence at the edge of a fusion plasma. (Photo and collage by Elle Starkman/Office of Communications.)
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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.
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Facts and Figures
1000+
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.
≈2,000
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.
50+
Graduate students from over 20 academic departments are enrolled in PICSciE's Graduate Certificate in Computational Science and Engineering program.