Community
Monthly CIRC Symposia
Every third Friday of the month, the Center for Integrated Research Computing hosts a research symposium (known as the CIRC Symposium), where faculty, staff, and student researchers convene to learn about research projects utilizing the center’s resources, meet potential collaborators, and learn about new technologies and trends in research computing. This event is user-driven and features presentations by researchers using CIRC systems. CIRC Symposia are open to all members of the university community and a complimentary lunch is provided.
The Center for Integrated Research Computing (CIRC) will host its first talk of the 2024-2025 academic year on Friday, August 16th 12:00-1:00 pm in Wegmans 1400. This month’s featured speaker is Prof. Liping Liu from the Department of Computer Science at Tufts University. Liping’s talk will focus on the use of graph learning in physics simulations. Please see the attached flyer for more details. Please see the titles and abstracts below.
Graph Learning: A Versatile Tool for Physics Simulations
Liping Liu, PhD
Department of Computer Science
In recent years, machine learning algorithms have significantly advanced physics simulations. One of the primary challenges in this field is enhancing computational efficiency. This requires the learning model to effectively utilize parallel computing and minimize unnecessary computations. Graph learning emerges as a versatile tool for achieving this goal. This talk will showcase two simulation models, one in fluid dynamics and the other in weather forecasting. For the first problem, we discretize irregular domains into graphs and apply a graph learning model to understand fluid dynamics. In the second problem, we demonstrate a method to reduce computation by sparsifying the graphs used in graph learning models. These two examples highlight the flexibility of graph learning and its strong performance in their respective tasks.
Dr Liping Liu completed his PhD at Oregon State University in 2016 and then worked as a postdoc researcher at Columbia University. He joined the Computer Science Department at Tufts University in 2017 as an assistant professor. He works in machine learning and has interests in probabilistic methods for graph data analysis and modeling problems arising from dynamic systems. His research on graph generation methods has won an NSF CAREER award.
Information about previous CIRC Symposia is available.
CIRC Summer School
Every summer, CIRC hosts a four-week training session on various operating systems, programming languages, computational programs and libraries, and data analytics tools for the research community. Known as the “CIRC Summer School,” these workshops are broken down into individual topics and feature small, interactive, classroom-based instruction sessions. Topics range from basic training in Linux to optimizing codes for parallel computing. The courses are designed for beginner and advanced users alike. Extra emphasis is placed on using the various available languages, libraries, etc., specifically on BlueHive.
CIRC Winter Boot Camp
Have you ever wanted to learn how to program or add a new programming language to your existing knowledge? Have you been looking for the right time to pick up a few essential technical computing skills to help with your research projects or course work? Well, now you have the opportunity during the CIRC Winter Boot Camp!
The Center for Integrated Research Computing (CIRC) hosts a multi-week winter program to help students, postdocs, research staff, and faculty learn new programming languages and sharpen their computing and data analytics skills. The classes are designed for beginners and cover basic topics to give enough direction to move on to self-learning tutorials or other more advanced coursework.
Check again soon for an announcement about the next Winter Bootcamp!
CIRC Workshops
The Center for Integrated Research Computing (CIRC) offers workshops every Spring and Fall that introduce users to the BlueHive computing environment and other computing resources that CIRC supports. The workshops include sessions in the morning targeted for new and beginning users, and afternoon sessions covering a few more in-depth topics and tools and applications that are available to the research community.
If you would like more information, please contact CIRC or follow the link below.
Check again soon for an announcement about the next CIRC Workshop!
Annual CIRC Poster Session
The Center for Integrated Research Computing holds the Annual CIRC Poster Session at the end of each Spring semester. At this event, attendees discover the wide range of research that is enabled by computation and displayed to the University community. This event provides an informal venue to share computational and data analytics techniques and methodologies with colleagues from a wide variety of disciplines.
Check again later for an announcement about the next CIRC Poster Session!