Between workshop sessions, Princeton predoctoral fellow Jeffery Bush Jr. speaks with presenter April Clyburne-Sherin of Code Ocean, a cloud-based computational reproducibility platform.
Princeton held its first research data management workshop Jan. 28-Feb. 1 for graduate students and other researchers.
Participants in the Center for Digital Humanities' (CDH) hackathon included more than 20 developers from CDH, Princeton University Library, and the Princeton Institute for Computational Science and Engineering/Research Computing. Photo by Gissoo Doroudian, Center for Digital Humanities
This Hackathon was the first hands-on collaboration connecting the CDH, PUL, and PICSciE/RC, and it marked the first time many of the participants utilized a high-performance computing cluster allowing for much faster processing of large-scale data.
Instructor Gabe Perez-Giz teaches “Software Engineering for Scientific Computing,” a graduate-level course that highlights software best practices. Photo by Melissa Moss, Office of Communications
Princeton wants to shake up how graduate students learn the basic tools and principles of writing good code for computationally intensive scientific research, and Gabe Perez-Giz is emphatically on board.
Outside Eve Ostriker’s office door stretches the universe, dotted with orange galaxies against the black backdrop of space.
Research Data Management Workshop Monday, January 28, 2019 - Friday, February 1, 2019 138 Lewis Science Library
Princeton University held its first computing bootcamp for graduate students and postdocs on Oct. 29 to Nov. 1, four days of short introductory-level lectures and hands-on exercises on a variety of topics, tools and techniques necessary for modern computational research careers.
On Oct. 16-17, some 60 Princeton graduate students and postdocs — along with a handful of undergraduates — explored the most widely used deep learning techniques for computer vision tasks and delved into using new parallel computing programs to dramatically speed up applications.
- Enabling high-impact research by bringing education and advanced computing to the Princeton community
-
Enabling Princeton's Research Community
-
Education and Training
-
Systems and Services
Training
PrincetonPy: Preparing Python code and Jupyter notebooks for reproducible publication with Code Ocean
Tue, Mar 26, 2019, 4:00 pm to 5:00 pm
Location:
347 Lewis Library, Vis Lab
Python Programming Techniques
Help Sessions
Weekly Help Sessions in Visualization & Programming
Thu, Mar 21, 2019, 2:00 pm to 3:00 pm
Location:
347 Lewis Science Library
Weekly Help Sessions
Other Events
PICSciE Conference: Cross-Disciplinary Collaboration for Accelerated Scientific Discovery
Fri, May 10, 2019, 9:00 am to 5:00 pm
Location:
120 Lewis Library
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...
- Contact
