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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.
From left to right: Kianoosh Yousefi, MAE graduate student and David Luet, senior software and programming analyst discussing designing a parallel workflow on Della for Kianoosh’s scientific application. Photo by Ma. Florevel Fusin-Wischusen, Princeton Institute for Computational Science & Engineering.
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 poster
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
Left to right: Research software engineer Vineet Bansal, Amit Singer, professor in Mathematics and PACM, and Junchao Xia, research software engineer, discussing the ASPIRE project. Photo: Florevel Fusin-Wischusen, Princeton Institute for Computational Science & Engineering.
Bootcamp participants receive instructions for a hands-on exercise to practice command line tools. Photo by Denise Applewhite, Office of Communications
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.
Attendees of the Princeton GPU Hackathon. Photo credit: Ma. Florevel Fusin-Wischusen, PICSciE.
GPU Hackathon Participants Tackle Code Optimization for Increased Performance
Shown at Princeton’s Sept. 30 ribbon-cutting for the Traverse supercomputer are, from left to right: Craig Ferguson, deputy director for operations and chief operating officer at the Princeton Plasma Physics Laboratory (PPPL); Steven Cowley, director of PPPL; David McComas, Princeton University’s vice president for PPPL; Chelle Reno, Princeton University’s assistant vice president for operations for PPPL; and Jay Dominick, Princeton University’s vice president for information technology and chief information officer. Photo by Denise Applewhite, Office of Communications
A ribbon-cutting ceremony in Princeton’s High-Performance Computing Research Center on Sept.
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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.
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