- XSEDE Campus Champions, Stampede and Lonestar4 supercomputers of TACC help create 3D images deep underground. A new work based on 3-D supercomputer simulations of earthquake data has found hidden rock structures deep under East Asia. Researchers from China, Canada, and the U.S. worked together to publish their results in March 2015 in the American Geophysical Union Journal of Geophysical Research, Solid Earth.
- If a picture is worth a thousands words, a computer graphic is worth millions. With that in mind, Princeton University has formed a consortium that will share efforts to turn mountains of scientific data into eye-friendly computer visualizations. The Princeton Plasma Physics Laboratory (PPPL) has named Computational Scientist Eliot Feibush to lead the consortium.
- 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.
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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