Princeton University is actively monitoring the situation around coronavirus (Covid-19). The latest University guidance for students, faculty and staff is available on the University’s Emergency Management website.
Michael Mueller will lead Princeton's new collaboration with the National Renewable Energy Laboratory. Photo by Princeton University
Leo Hellstrom and Daniel Floryan conducting pipe flow experiments using sterescopic particle image velocimetry (SPIV). By taking high-resolution pictures of an illuminated flow field using two cameras (pictured in blue) the velocity of the fluid within the pipe can be attained. These experiments are changing the way we view and understand turbulent pipe flow. Photo by Tyler VanBuren
Some classes are easier to move online than others. When Princeton University decided in early March that the coronavirus pandemic would empty every lecture hall, seminar room, and teaching lab, it wasn’t easy for lectures and precepts to move online, but they made do.
In a photo taken on Feb. 26, 2020, President Christopher L. Eisgruber, center, joined staff members who received this year’s President’s Achievement Award, from left: William “Bill” Wichser, director of advanced systems and storage for the Princeton Institute for Computational Science and Engineering; Robert “Bob” Walker, residential food service worker, Campus Dining; Kim Jackson, director of TigerCard Services and Transportation and Parking Services; Tracey Woodel, business analyst, Finance and Administrative Services, Facilities; Josue Lajeunesse, lead custodian at Whitman College, Facilities. Not pictured: David Brown, assistant director of the Pace Center for Civic Engagement. Photo by Sameer A. Khan/Fotobuddy
Bill Wichser, director of advanced systems and storage for the Princeton Institute for Computational Science and Engineering, is one of the recipients of this year's President's Achievement Award.
Bei Wang with Pratyush Das, IRIS-HEP Fellow and Sara Nabili, a graduate student from University of Maryland at the 2019 Computational and Data Science Training for High Energy Physics Summer School at Princeton University. Photo: Florevel Fusin-Wischusen, PICSciE.
When CERN’s Large Hadron Collider—the city-sized particle accelerator buried under the Franco-Swiss border—turns on, it accelerates a beam of protons to about 99.999% the speed of light and smashes them into each other head-on, showering exotic, high-energy particles in all directions.
From left to right: David Deutsch and Adam Calhoun, postdoctoral researchers with the Murthy Lab and David Turner, research software engineer. The research group is using advanced microscopy in studying the fly’s brain in response to sensory stimuli. Photo credit: Jonathan Halverson, PICSciE.
For the average person, any rumination on the fruit fly ends with a distracted swat.
Research software engineer applies cutting-edge AI strategies to image the molecular world.
Wind Cowles, director of the Princeton Research Data Service (far left), assists workshop participants during a breakout session. Photo by Denise Applewhite, Office of Communications
Princeton University held its 2nd annual research data management workshop for graduate students from Jan. 27 to 29.
- Enabling high-impact research by bringing education and advanced computing to the Princeton community
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Education and Training
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Enabling Princeton's Research Community
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Systems and Services
Training
RESEARCH COMPUTING BOOTCAMP, JANUARY 19-29, 2021, REGISTRATION NOW OPEN !
Tue, Jan 19, 2021, 9:00 am to Fri, Jan 29, 2021, 5:00 pm
Location:
Remote Learning
Announcements
The Princeton Institute for Computational Science & Engineering (PICSciE) and OIT Research Computing , along with the Center for Statistics and Machine Learning(link is external), are announcing a two-week Research Computing Bootcamp held virtually during Winter Break, from January 19-29, 2021.
Location: Virtual (Zoom links will be emailed to registrants closer to the start date)
Website: https://princetonuniversity.github.io/PUbootcamp_winter2021/(link is external)(link is external)
Registration(link is external)(link is external) is now open for the Winter 2021 Research Computing Bootcamp, co-sponsored by PICSciE, OIT Research Computing, and the Center for Statistics and Machine Learning (CSML)(link is external)(link is external).
This two-week virtual bootcamp will introduce some foundational topics, tools, and techniques that underpin modern computational research. Week 1 covers essentials of research computing. Week 2 is an intensive introduction to high-performance computing (HPC). A detailed schedule and description of each session (and its prerequisites) can be found at the Winter 2021 Bootcamp website(link is external)(link is external) (all dates and times listed are Princeton local time (EST)).
Please read the schedule and course descriptions(link is external)(link is external) carefully, and then register "a-la carte" for only the individual sessions you need. Note that some sessions run in parallel, overlapping in time either partly or completely, so you should take care to avoid overlapping sessions in your itinerary.
Registration is by-session via this form(link is external)(link is external) and requires an active Princeton NetID. After submitting your registration, you will be emailed a copy of your itinerary along with a link to edit your registration later, should your plans or interests change. Registration information may be edited up until 5PM on Friday January 15, 2021.
Setup Assistance
Users who need help setting up any technical prerequisites in advance of the bootcamp can attend a drop-in "setup assistance session" that will be held over Zoom on Monday January 18 from 3:30 - 5 PM. There will be little to no technical troubleshooting during the bootcamp itself, so please set up any prerequisites in advance and attend the drop-in session if you encounter issues.
Zoom information
Zoom information both for the assistance session and for the rest of the bootcamp sessions will be posted both here and on the Bootcamp website(link is external)(link is external) closer to the starting date.
We look forward to seeing you in January!
Questions? Email rcinfo@princeton.edu
Organized by Princeton Research Computing(link is external), a consortium of campus groups dedicated to providing computing resources and training spearheaded by including Princeton Institute for Computational Science and Engineering (PICSciE) and Office of Information Technology (OIT) Research Computing, along with the Center for Statistics and Machine Learning.
PICSciE’s Graduate Certificate in Computational Science and Engineering - Apply now!
The Princeton Institute for Computational Science and Engineering (PICSciE) is accepting applications to its Graduate Certificate in Computational Science and Engineering 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 area.
One of the electives is APC524: Software Engineering for Scientific Computing which is being offered this fall.
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