Research Computing Overview
University Information Technology Services offers several research computing services co-funded by the Office of Research, Discovery and Innovation (RDI) and available to all members of the UA campus community. These include high performance computing and storage available at no charge in the Research Data Center and server housing space available in the Research Colocation Data Center. In addition, free software, tools, and consulting are available for research computing, data visualization, and statistics. These services are overseen by the Research Computing Governance Committee.
- Other helpful links for UA researchers include
- InCommon Federation Partner Login Instructions for using NetID to log in to Research.gov and other partner sites.
- Research Gateway provides information on Development, Adminstration, Compliance and Resources.
- Core Facilities — Research, Discovery & Innovation oversees many shared research facilities. This extensive offering provides faculty, scientists and students with access to not only to the latest instrumentation, but also to experienced staff with expertise in designing and conducting experiments and analyzing data. In addition to high-quality scientific services, many of these facilities also offer training and education.
- CyVerse, national cyberinfrastructure for life sciences research.
- Data Management Resources is the University Libraries' center for information to support federal agency data management requirements.
- Research Bazaar Arizona is a community of research students, faculty, and staff who can help with skills development and questions about computational research and data science.
Virtual 'Universe Machine' Sheds Light on Galaxy Evolution
UANews recently published this story covering a UA astronomer who uses Research Data Center computing resources to model the galaxy.
High Performance Computing Updates Mean More Compute Time for Researchers
UA’s free high performance computing (HPC) resources are popular and demand is increasing. Researchers from a broad spectrum of disciplines are exploring new areas such as machine learning (teaching computers to understand a problem) and deep learning (computers that can teach themselves how to understand the problem).
Black Hole Modeling in Research Data Center
What the Messier 87 black hole would look like? UA Department of Astronomy researchers Dimitrios Psaltis, Feryal Ozel, Chi-kwan Chan, and Lia Medeiros used the El Gato system in the Computer Center's Research Data Center to model it before processing of the Event Horizon Telescope data was completed. From the UA News article: