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Intro

Students and faculty at the University of Wisconsin-Eau Claire can engage in high-performance, data-driven research thanks to a public-private collaboration with Hewlett Packard Enterprise (HPE). The only collaboration of its kind in the Midwest, this relationship dramatically increases the university’s supercomputing processing power.

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About the Center

The center houses BOSE and BGSC clusters, managed by trained LTS engineers in coordination with faculty volunteers. This technology allows our students and faculty to solve problems that may take a normal computer millions of years to solve in just a few days.

This project is significant to teaching and learning within mathematics, computer science, physical sciences, social sciences, economics, and business.

Students working with the cluster
Research and HPC
Currently supporting over 20 research projects across seven different departments at UW-Eau Claire, our supercomputing cluster has been able to successfully save our researchers time and effort while making discoveries earlier than previously possible.
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Supercomputing in the Classroom
Over 1,000 students use our computing resources in class annually. Whether it was direct integration into their daily coursework, used during a final exam, or a presentation on how high-performance computing is used in their field, this technology has only enhanced the learning experience of our students.
Dr. Bhattacharyay and Dr. King working on the supercomputer.
Computing Hardware at 澳门葡京网赌送彩金
Available for free to our campus community for any research or classroom computing needs, we have two supercomputing clusters available. Our flagship cluster, BOSE, has 59 nodes with a total of 3,776 CPU cores, while our smaller cluster, BGSC, has 27 nodes with a total of 460 cores.

Supercomputing and the Health Sciences

Since high-resolution images and data-driven research are vital in making medical advancements, the HPE supercomputing cluster creates an opportunity for UW-Eau Claire faculty and students to collaborate in a meaningful way with Mayo Clinic Health System physicians. 

Not only do these powerful supercomputing systems offer insights through artificial intelligence and analyzing large subsets of data, but they do so at the speed necessary to drive timely improvements in patient care. High-resolution images, labs, pathology and patient records are just a few opportunities where 澳门葡京网赌送彩金 students and faculty can leverage this technology to further collaborate with Mayo Clinic Health System researchers. Together, both institutions are advancing biomedical technology and data to improve patient outcomes.

Medical science has become increasingly data-driven. You need a lot of data to make an informed decision, a diagnosis or treatment. This cluster will be the perfect tool to collect those data, analyze those data and then benefit medical science.

Learning in Action
Dr. Ying Ma headshot
Dr. Ying Ma
Materials Science and Biomedical Engineering Associate Professor
Supercomputing News
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Blugold Center for High Performance Computing