The summer program on Tools, Techniques and Methods for Computational and Data Science for High Energy Physics, or CoDaS-HEP, was held at Princeton for the third consecutive year. Pictured: Henry Schreiner, a computational physicist at Princeton and one of the instructors (second from left) with, from left to right: Lauren Hay, graduate student, University at Buffalo; Andres Quintero, FermiLab; Stephanie Kwan, graduate student, Princeton; and Michael (Tres) Reid, graduate student, Cornell University.
Photo by Ma. Florevel (Floe) Fusin-Wischusen
Princeton will hold its first Graphical Processing Units (GPUs) hackathon from 24-28 June, hosted by the Princeton Institute for Computational Science and Engineering and co-sponsored by NVIDIA and the Oak Ridge Leadership Computing Facility (OLCF). Pictured are participants in a 2015 hackathon organized by OLCF in Knoxville, Tennessee. Photo by Carlos Jones, Oak Ridge National Laboratory
Princeton held its first GPU hackathon on campus from June 24 to 28, organized and hosted by the Princeton Institute for Computational Science and Engineering (PICSciE), and co-sponsored by NVIDIA a
The Princeton Institute for Computational Science & Engineering (PICSciE) held its sixth biennial conference on May 10 in Lewis Science Library, with this year’s theme being an exploration of cross-disciplinary collaborations that accelerate scientific discovery.
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.
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Introduction to Programming Using Python (Section II), 9/18 and 9/25
Wed, Sep 18, 2019, 4:30 pm to 6:00 pm
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Introduction to Programming Using Python (Section III), 9/19 and 9/26
Thu, Sep 19, 2019, 4:30 pm to 6:00 pm
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