/tag/rc
UVA Research Computing Exhibition: April 23, 2025
Join us for our annual UVA Research Computing Exhibition:
Wednesday, April 23, 10am - 2pm
in the
Newcomb Hall Ballroom
Drop by anytime!
The UVA Research Computing Exhibition showcases the incredible research happening across UVA. Whether you are interested in sharing your research or discovering what others are working on, this exhibition offers the opportunity to:
See and discuss research posters
Hear Lightning Talks from UVA faculty
Learn about resources for research
Explore diverse research methods
Find potential collaborators
Connect with the broader research community
Enjoy free food and beverages
Data Analytics Center
Assisting Researchers across Grounds with Big Data Management and Analysis The DAC offers comprehensive support for projects on Research Computing platforms at every stage, from initial grant proposals and data ingestion to the development of finalized models and manuscript preparation, ensuring effective and efficient use of high-performance computing resources. Our consultants provide tailored guidance and technical support to researchers to ensure that their projects benefit from the latest methodologies and best practices in big data analytics.
Our team consists of experts with diverse backgrounds, offering a wealth of knowledge and experience in various domains, including bioinformatics, AI and machine learning, drug discovery, statistical analysis, image processing, high-performance computing, and data management and compliance, among others.
RC Exhibition Call for Posters: March 31, 2025
Important Dates
New Submission Date: March 31, 2025
UVA RC Exhibition: April 23, 2025:
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Everyone is welcome to attend the Exhibition on April 23rd, at the Newcomb Hall Ballroom, 10:00am - 2:00pm.
Our Exhibition includes a judged poster competition with travel awards presented to the winning finalists. If you have used Research Computing resources to support your research, we invite you to submit a poster! Posters should reflect how you have used these resources to support your research.
Three finalists will be recognized with a travel award that can be used for professional travel such as conferences, meetings of professional associations, or other travel related to your research.
Data Analytics Center / Digital Humanities Center Fellowship
The Scholars’ Lab, the UVA Library Digital Humanities Center (DHC), and the Data Analytics Center (DAC) are delighted to announce a new fellowship opportunity.
The 2025 Data Analytics Center-Digital Humanities Center Fellowship is open for proposals from UVA faculty and graduate students. This is an experimental iteration encouraging the use of high-performance computing resources in the humanities, as well as identifying digital humanities research and teaching that could benefit from support from DHC and DAC. Possible projects might utilize AI, gaming platforms, imaging tools, geospatial technologies, use of new tools, and more.
The awarded team will consist of one faculty and one graduate student collaborating on humanities research in the University of Virginia.
Digital Technology Core
The Digital Technology Core (DTC) offers support for researchers who use or would like to use wearables, smartwatches, smartphones, or IoT devices.
Services We offer comprehensive support for your research projects including
device selection experimental design on-device software solutions always-on cloud infrastructures Areas of Expertise Our staff have a variety of experience and expertise:
mobile app development machine learning signal processing noise filtering network protocols Past Collaborations We have years of experience with collaborations. A few of our past collaborations with UVA researchers are below.
MindTrails
Sensus
How to Request Support We provide three tiers of support that can each be requested through a support request.
UVA Research Computing Exhibition: April 23, 2024
About This Event: The Research Computing Exhibition will be held on Tuesday, April 23, 2024 in the Newcomb Hall Ballroom. The event will include:
A panel discussion made up of academic scientific computing experts and research computing faculty and staff. Judged poster session with prizes: First Place: $3,000 travel voucher Second Place: $2,000 travel voucher Third Place: $1,000 travel voucher Light refreshments
If you would like to participate in the poster session, please fill out the Intent to Participate Form by Friday, March 15. While all are welcome to present a poster during the exhibition, only UVA affiliated non-faculty submissions will be eligible for the award prizes.
Three Tiers For Support
Tier 1: Training & Technical Support Research computing provides training for the use of our systems. The training includes onboarding, introductory sessions, and computational workshops. Additionally, we provide technical support to researchers through our online support request form and virtual office hours. Through these formats, we are able to assist researchers with system access issues and troubleshooting computational problems on our systems. These are services that are provided at no-charge to researchers.
Tier 2: Consultation Initial project consultation and assessment are provided at no charge. If determined
feasible, the DAC team member will advise the researcher of the specific support
Mission
Research Computing empowers UVA researchers to achieve more with cutting-edge computational resources. Our support team strives to create innovative solutions for researchers who need help solving complex optimization, parallelization, workflow, and data analysis issues. We build and maintain the University’s best computing platforms while educating the next generation of researchers on the power of advanced computing.
Research Computing Student Workers
The Research Computing Student Worker Program is dedicated to supporting RC staff and advancing computational research at UVA. Through this program, student workers will undertake short-term projects, relieving RC staff of certain responsibilities and allowing them to devote more time to scaling support for complex, research-domain endeavors. This initiative not only benefits RC staff but also provides students with valuable exposure to high-performance computing (HPC) and scientific computing early in their academic journey. Student Manager: Gladys K. Andino, PhD, Strategic Services and Education Manager For any questions, please email rc-studentjobs@virginia.edu. Check out our Student Workers!
Matthew Galitz Bhargav Garre Venkata Diana Lin Ivey Mistele Hariprasad Periyasamy Mohan Shankar Steven Siadaty Jennifer Vo .
Research Computing Staff
Acknowledgement in Publications
Recognition and documentation of the contribution that Research Computing’s systems and support play in breakthrough research is essential to ensuring continued support for and availability of cutting-edge computing resources at The University of Virginia. Please cite UVA Research Computing in any research report, journal article, or other publication that requires citation of an author’s contributions.
Suggested format:
The authors acknowledge Research Computing at The University of Virginia for providing computational resources and technical support that have contributed to the results reported within this publication. URL: https://rc.virginia.edu
What is Research Computing?
UVA Research Computing (RC) is a new program that aims to support computational biomedical research by providing advanced cyberinfrastructure and expertise in data analysis at scale. Our mission is to foster a culture of computational thinking and promote interdisciplinary collaboration in various data-driven research domains. We offer services related to high performance computing, cloud architecture, scientific programming and big data solutions. We also aim to promote computationally intensive research at UVA through collaborative efforts such as UVA’s own CADRE (Computation And Data Resource Exchange) and XSEDE (Extreme Science and Engineering Discovery Environment).
One of our driving philosophies is that researchers already have medical and scientific expertise, and should not have to become computing experts on top of that.
