- Join us on May 12th for an all-day symposium focused on emerging architectures for exascale computing as well as challenges and opportunities for applications & software in academia, national labs, and computing industries, and gain technical insights on a wide range of topics including computer architecture, systems software, languages and compilers, algorithms, and applications.
- The global ocean is the Earth's heating and cooling system, pushing balmy tropical waters toward the poles and bringing back colder, nutrient-rich waters. But modeling this system is extremely complex, resulting in billions of data points. To tackle the complexity, researchers at three Princeton-area institutions have transformed complex modeling data into an easily understandable animated movie showing how ocean temperatures and saltiness change over time. The animation could help climate re
- What does it take to understand a black hole, those amazing astronomical features at the center of every galaxy, including our Milky Way? A lot of complex computational science done on supercomputers by researchers like Professor Jim Stone at Princeton University. Dr. Stone is Chair of Princeton’s Astrophysics Department. He is also director of the Princeton Institute for Computational Science and Engineering, or PICSciE (pronounced pik-see).
- PICSciE hosted its first Research Computing Day on Friday, October 14 which showcased computational and data-intensive research by graduate students and postdocs from various disciplines. There were several presentations by the PICSciE and OIT-Research Computing staff regarding support, services, and infrastructure available to Princeton researchers.
Welcome to Research Computing at Princeton
Research computing at Princeton University engages academic departments and disciplines across the natural sciences, engineering, social sciences, and humanities. The Princeton Institute for Computational Science and Engineering (PICSciE) and the Office of Information Technology (OIT) work together to provide the computational and digital data infrastructure and support that meet the research needs and priorities of Princeton's faculty, researchers, and students. The resources and services we provide centrally include computational and visualization hardware, software, system administration, programming, and visualization support.
Please browse these pages for information about the outstanding research and central and departmental resources supporting research computing at Princeton University.
- Apr 25, 2017, 10:00 a.m.
- Apr 25, 2017, 2:00 p.m.
- Apr 27, 2017, 2:00 p.m.
- MAE Seminar: PyFR: High-Order Accurate Cross-Platform Petascale Computational Fluid Dynamics with Python, Friday, April 28, 3:30 PM, Maeder Hall, ACEEApr 28, 2017, 3:30 p.m.
- May 12, 2017, 8:30 a.m.
- May 17, 2017, 4:00 p.m.
- Jun 26, 2017, 11:00 a.m.