- When it comes to the Earth’s interior, researchers have only “scratched the surface.” Our idea of what the deep Earth looks like is largely inferred from surface observations; unfortunately, what goes on beneath our feet has serious catastrophic potential. Earthquakes, volcanoes, and other general geological maladies begin beneath the surface, in a world we know very little about.
- Princeton senior Brian Lax is an English major, passionate about British literature. He is also passionate about computer science and is earning a certificate in statistics and machine learning. Determined to marry these two seemingly disparate parts of his academic experience for his senior thesis, he set out to track revisions of poems by W.H. Auden across time — using the computer as his chief research tool.
- Three miles from the main campus, Princeton’s high-performance computers hum undisturbed, cranking out projections of what happens when a neutron star encounters a black hole — things don’t go well for the neutron star — working out how trees know when it is safe to put out their spring leaves, and designing drug candidates for treating inflammatory diseases.
- Scientists at Princeton University are composing the complex codes designed to instruct a new class of powerful computers that will allow researchers to tackle problems that were previously too difficult to solve. These supercomputers, operating at a speed called the "exascale," will produce realistic simulations of dazzlingly complex phenomena in nature such as fusion reactions, earthquakes and climate change.
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.
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