Welcome to the Minnesota Supercomputing Institute

Providing advanced research computing infrastructure and expertise to the University of Minnesota research and scholarly community and beyond.

About MSI

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MSI offers a variety of hardware, software, and consulting services to meet any research need.
MSI Services

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MSI provides training and support for users of all experience levels.
MSI Resources

Research

MSI advances computational research across a broad range of disciplines.
MSI Research

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Getting Started at MSI
Server maintenance

News and Events

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News and Events at MSI

December 2024 Maintenance

 Maintenance

On Wednesday, December 4, 2024, MSI staff will perform scheduled maintenance and upgrades to various MSI systems. During this month’s scheduled maintenance period, primary storage and Agate will be un

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Neonicotinoids in Minnesota Water

 Ecology & Environment Research

A study by MSI PI William Arnold (professor, Civil Environmental, and Geo- Engineering) and colleagues reveals the extend of contamination by neonicotinoid insecticides in surface and groundwater acro

MSI PI Susan Arnold Featured by HR

 Research Veterinary Medicine

MSI PI Susan Arnold (assistant professor, Veterinary Clinical Sciences) is featured in an “HR Update” story on the Office of Human Resources website. The article discusses Dr. Arnold’s research and te

Breeding Cold-Hardy Flowers

 Agriculture Research

A recent story by the Minnesota Landscape Arboretum features the U of M’s program to breed chrysanthemums that can survive in Minnesota's climate. MSI PI Neil Anderson (professor, Horticultural Scienc

Boosting the Immune System

 Medicine Research

Research by MSI PI Christina Camell, (assistant professor, Biochemistry, Molecular Biology, and Biophysics) studies how and why infections can be more lethal in older adults than younger ones. They ha

MSI PIs Receive Grant to Fight Inflammatory Disease

 Medicine Research

Two MSI PIs in the Department of Pediatrics, Associate Professors Branden Moriarity and Beau Webber, have been awarded a $11.6 million grant that funds research into new treatments for chronic inflamm

Using AI to Classify PRRS Viruses

 Big Data Science Research Veterinary Medicine

MSI PI Kimberly VanderWaal (associate professor, Veterinary Population Medicine) is featured in the Fall 2024 issue of the College of Veterinary Medicine (CVM) publication Profiles. The article descri

Research at MSI

Atmospheric Chemicals and Their Reactions

The presence and reactions of atmospheric chemicals affect conditions at the ground level. MSI PI Dylan Millet (Professor, Soil, Water, and Climate) studies these chemicals. He uses MSI resources for

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Predicting Neurodegenerative Diseases With Deep Learning

A primary goal of genetic studies on complex diseases is to build predictive models to assess an individual's disease risk based on their genome. Current approaches primarily rely on collections of in

Understanding the Development of

Antibiotic resistance is a global public health crisis. Fluoroquinolones are one of the most successful classes of antibiotics to date and are an incredibly important tool for treating infections. How

Using Multi-omics Methods to Understand Pancreatic Cancer

Pancreatic ductal adenocarcinoma (PDAC) is a heterogeneous disease, and the granular PDAC categorization has offered little insight into the biologically and functionally important changes during dise

A Communication System for Underwater Robots

Autonomous underwater vehicles (AUVs) are being used in a number of different aquatic applications, such as environmental monitoring, cable and wreckage inspection, and search-and-rescue missions. The

Reducing Pollution From Agriculture and Mining

Agriculture and mining are two important industries in Minnesota, but they are also associated with significant environmental concerns due to the carbon-intensive production of nitrogen fertilizers an

Computational Modeling to Improve Deep Brain Stimulation

Deep brain stimulation (DBS) in Parkinson’s disease is an effective treatment for advanced PD. Yet there is great heterogeneity in individual responses, ranging from a 11 to 70% improvement in motor s