Friday, October 14, 2016
8:00 am – 5:30 pm
Maeder Hall Auditorium, Andlinger Center, 86 Olden Street
The Princeton Institute for Computational Science & Engineering (PICSciE) is hosting its first Research Computing Day to showcase computational and data-intensive research by graduate students and postdocs from all disciplines as well as understand research computing support, services, and infrastructure available to Princeton researchers.
This event is open to undergraduate and graduat
The Intel® PCC at Princeton University’s Institute for Computational Science & Engineering in partnership with the TACC and LBNL will focus on conducting a systematic collaborative case study on the Intel® Xeon Phi™ coprocessor of a discovery-science-capable particle-in-cell (PIC) production code named Gyrokinetic Toroidal Code -Princeton (GTC-P). This work will involve exploiting vectorization and determining the best strategy for dealing with the last level of the cache used in Intel®
The earliest maps of the world date to classical antiquity, an era when many still conceived of the Earth as flat. We’ve come a long way since in our understanding, and yet the ground beneath our feet has remained ever-mysterious--until now. Using the high performance computing machines with the Princeton Institute for Computational Science and Engineering (PICSciE), and the fastest computers in the nation, including Titan at Oak Ridge National Laboratory, Professor Jeroen Tromp and his team a
Carter succeeds H. Vincent Poor, the Michael Henry Strater Professor of Electrical Engineering, who has served as dean since 2006 and will return to full-time teaching and research.
Carter's own research spans the fields of chemistry, physics, applied mathematics and engineering and has included creating quantum mechanical tools for understanding and analyzing the behaviors of large numbers of atoms and electrons in materials.
John Storey, Princeton University's William R. Harman '63 and Mary-Love Harman Professor in Genomics and professor in the Lewis-Sigler Institute for Integrative Genomics, has received the 2015 COPSS Presidents' Award, which recognizes outstanding contributions to statistics by a researcher aged 40 or younger. Presented by the Committee of Presidents of Statistical Societies (COPSS), the award is one of the most prestigious in the field.
The Princeton University Python Community was founded as an initiative to simply talk about Python. We meet every two weeks, for tutorials, demos, and help sessions. Come along, we bring cookies. We were cofounded by Paul and Quentin in December 2013, and are hoping to expand in size and scope.
We currently have over two hundred and fifty members from over twenty academic departments and centers around campus. We have a great mix of undergraduates, graduate students, postdoctoral rese
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.
Three Princeton University researchers have been granted a total of 345 million hours of processing time on two powerful supercomputers as part of the 2015 Innovative and Novel Computational Impact of Theory and Experiment (INCITE) awards from the U.S. Department of Energy.
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.
The Princeton Institute for Computational Science and Engineering (PICSciE) is currently accepting applications to its Graduate Certificate in Computational and Information Science. This certificate program is designed to recognize achievements of graduate students who have undertaken comprehensive training in numerical analysis, software engineering, hardware and programming practices, as well as statistics and data modeling, both through formal course work and through research in their subject