Research Computing Support at UW–Madison
As one of the nation’s premiere research universities, the UW–Madison has a vast research computing infrastructure.
This infrastructure includes resources that address various types of processing and storage needs as well as a robust network of facilitators and service providers to support research. Some of these resources are concentrated in organizations that specialize in the patterns and needs of individual research communities, and some are provided centrally.
Some resources are provided at no charge, and some have fees or require memberships. Below, we provide an overview of the different types of resources available and the groups that provide those services. Prospective faculty are encouraged to connect with these groups during campus visits in order to better understand the available resources.
“We proudly provide a service-based approach to research computing at the UW–Madison, offering many free services that are beneficial to both faculty and the institution. Without the right tools, no scientist can keep up with new research trends and funding efforts. We provide the necessary computing tools from high-memory servers to robust data storage and personalized consultations, to allow our researchers to be competitive and collaborative. We are continually enhancing and investing in the right tools to maximize our research productivity and insure data security to adapt to the fast-paced and evolving research environment.”–Dorota Brzezinska, UW–Madison Vice Chancellor for Research.
Processing: The UW–Madison has resources appropriate for various computing needs including interactive, cloud, high-performance, and high- throughput computing. There are also platforms designed for working with sensitive and protected data, as well as AI applications.
Data and Storage: The UW–Madison has resources appropriate for various computing needs including interactive, cloud, high- performance, and high-throughput computing. There are also platforms designed for working with sensitive and protected data as well as AI applications.
Services and Support/Service Providers: People are key to the success of our research enterprise. The UW–Madison has a rich network of support to help researchers utilize these resources effectively. This includes facilitation and consulting, training, and software engineering and data science service.
Processing:
Includes: batch computing; high-performance computing; cloud computing; GPU resources for AI; machine learning, and scientific computing research; and working with HIPAA and other sensitive data.
Data and Storage:
Includes: storage; accessing or managing licensed or protected data; long-term data archival; and data security.
Services and Support:
Includes: facilitation/consulting:; software development; data science services, and workshops and training.
Service Providers:
Includes: Center for High-Throughput Computing (CHTC); Division of Information Technology (DoIT) Research Cyberinfrastructure; School of Medicine and Public Health (SMPH): Social Science Computing Cooperative (SSCC); UW–Madison Libraries; Data Science Institute (DSI); Data Science Hub; and Teaching & Research Application Development (TRAD).