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  • Princeton University held its 2nd annual research data management workshop for graduate students from Jan. 27 to 29.
  • It's Thursday afternoon on the 2nd floor of Lewis Science Library, and a brightly-furnished conference room is filling up fast. A few excited regulars have shown up early: grad students and research scientists eager to keep moving their research forward.
  • Research Data Management Workshop Monday, Jan. 27 at 1 p.m. to Wednesday, Jan. 29 at 2 p.m. 120 Lewis Library, Washington Road & Ivy Lane
  • Over a span of five days earlier this fall, graduate students and postdocs at Princeton University hunkered down on a series of workshops and exercises exploring foundational topics, tools and techniques in modern computational research, from Python to the intricacies of computer architecture.
  • GPU Hackathon Participants Tackle Code Optimization for Increased Performance
  • A ribbon-cutting ceremony in Princeton’s High-Performance Computing Research Center on Sept.
  • Enabling high-impact research by bringing education and advanced computing to the Princeton community
  • Education and Training

    An extensive educational, training, and outreach program in research computing is available on campus supported by Princeton Institute for...
  • Enabling Princeton's Research Community

    Research computing at Princeton University engages academic departments and disciplines across the natural sciences, engineering, social sciences,...
  • Systems and Services

    Supporting faculty, researchers and students with training workshops, in-person and on-line help, and a wide range of research software tools.

Training

CANCELLED: Leveraging the Advanced Capabilities of the Traverse Supercomputer

Tue, Apr 14, 2020, 3:00 pm to 5:00 pm
Location: PPPL, Room B318

CANCELLED: High Performance Python: CPUs

Thu, Apr 16, 2020, 4:30 pm to 6:30 pm
Location: 138 Lewis Library

Announcements

SIGHPC Computational and Data Science Fellowships

Submissions are open now for SIGHPC’s international program of graduate fellowships in computational and data science. The ACM SIGHPC Computational & Data Science Fellowships were created to increase the diversity of students pursuing graduate degrees in data science and computational science, including women and students from racial/ethnic backgrounds that have not traditionally participated in the computing field. The program supports students pursuing degrees at institutions anywhere in the world.

Interested faculty advisors and students can find more information on the fellowships, including a description of the online nomination process, at http://www.sighpc.org/fellowship. Nominations close April 30.

 

 

 

Remote Help Sessions

Weekly Help Sessions

Thu, Apr 9, 2020, 2:00 pm to 3:00 pm

Other Events

No upcoming events found.

Research News

Wednesday, Aug 17, 2016

The amount of data encompassed by the global climate in its entirety, from its winds and temperature conditions to shifting formations of cloud,...

Wednesday, Aug 17, 2016

Energy is central to civilization as we know it. It’s also environmentally untenable in its current state. This is an issue Professor Emily Carter...

Wednesday, Aug 17, 2016

Turbulent combustion is just that. Jet engines and high-power furnaces produce a great amount of energy, along with its byproduct: emissions in...

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