By james art 
As one of the nation’s leading research universities, UW–Madison has an extensive research computing infrastructure.
This infrastructure includes resources that meet 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 models and needs of individual research communities, while others are provided centrally.
Some resources are provided for free, and some have fees or require membership. Below we provide an overview of the different types of resources available and the groups that provide these services. Prospective faculty are encouraged to connect with these groups during campus visits to better understand the resources available.
“We are proud to provide a service-based approach to research computing at UW–Madison, offering many free services that benefit both faculty and the institution,” said Dorota Brzezynska, UW–Madison’s vice chancellor for research. “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 consulting to enable our researchers to be competitive and collaborative. We are constantly improving and investing in the right tools to maximize our research productivity and ensure data security to adapt to the rapidly evolving research environment.”
Below we provide an overview of the types of resources available and the groups that provide these services.
- Prospective faculty are encouraged to connect with these groups during campus visits to better understand the resources available.
- In addition to the resources below, additional specialized resources are available at the department level.
It offers processing, data and storage and support.
Processing: UW–Madison has resources suited to a variety of computing needs, including interactive, cloud, high-performance, and high-performance computing. There are also platforms designed to work with sensitive and secure data, as well as AI applications.
Data and Storage: UW–Madison has resources suited to a variety of computing needs, including interactive, cloud, high-performance, and high-performance computing. There are also platforms designed to work with sensitive and secure data, as well as AI applications.
support: People are key to the success of our research enterprise. UW–Madison has a rich network of support to help researchers use these resources effectively. This includes facilitation and consulting, training, and software engineering and data science services.
Includes: batch calculation; high performance computing; cloud computing; GPU resources for AI; machine learning and scientific computing research; and handling HIPAA and other sensitive data.
Includes: storage; access or manage licensed or proprietary data; long-term data archiving; and data security.
Includes: facilitation/consultation:; software development; data science services, workshops and trainings.
Includes: Center for High Performance Computing (CHTC); Department of Information Technology (DoIT) Cyber Infrastructure Survey; School of Medicine and Public Health (SMPH): Social Science Computing Cooperative (SSCC); UW–Madison Libraries; Data Science Institute (DSI); Data Science Hub; and Training and Research Application Development (TRAD).