Page not found

University of Minnesota Informatics Institute

Abstract: 
<h3 class="red">University of Minnesota Informatics Institute</h3><p>The UMII provides bioinformatics services for the genomics, proteomics, and imaging research community. Five analysts run workflows for high-throughput data and participate in research that involves this type of data.</p><p>Return to this PI&#39;s <a href="https://www.msi.umn.edu/pi/d875caa2f6d6f857ca2cfbc3e2238c22/10159">main page</a>.</p>
Group name: 
neuhause

Definitions

Definitions Allocation period The allocation period corresponds to the calendar year, January 1 to December 31. Group Members of a PI group High Performance Computing Includes not only traditional input and output from supercomputing systems operated by the Institute, but also other activities in...

Computational Mechanics and Multi-Disciplinary Applications to High Performance Supercomputing Environments

Abstract: 
<h3 class="red">Computational Mechanics and Multi-Disciplinary Applications to High Performance Supercomputing Environments</h3><p>This project is concerned with the development of unified computational methodologies, solution algorithms, and finite element modeling/analysis strategies for rigid-flexible multi-body dynamics, contact-impact-penetration, electromagnetics, multi-disciplinary flow-thermal-structural problems, and micro/nano-scale effects in heat conduction. The philosophy and rationale of this work is based on employing a common numerical methodology for each of the individual disciplines in conjunction with common computational algorithms for applicability to supercomputing systems in solving large-scale engineering problems. Various research activities include development of new time integration computational algorithms for transient/dynamic/contact/ impact/damage/penetration problems; development of effective finite element based methodologies, which can be used in multi-disciplinary problems; new physically correct contact models for penetration and impact problems; application of finite element methods in the manufacturing simulations to provide a paradigm for Virtual Manufacturing and the simulation of Virtual Experiment and Virtual Testing. The application areas include a wide range of engineering problems involving multi-physics and space/time domain decomposition with interface to graph partitioning techniques. The overall efforts focus attention on providing new and effective approaches for not only improving the existing capabilities for applicability to supercomputing environments, but also towards providing an accurate understanding of the physics and mechanics relevant to multi-disciplinary engineering problems.</p><p>Return to this PI&#39;s <a href="https://www.msi.umn.edu/pi/727849e2b027c27be1fd995cc0481206/22400">main page</a>.</p>
Group name: 
tammakk

Harnessing River Power

posted September 19, 2013 St. Anthony Falls Laboratory announced recently that they are collaborating with industry on a project to harness the power of the East River in New York City. This effort, which is being funded by a two-year grant from the National Science Foundation , will involve high-...

High Resolution Numerical Simulations of Environmental, Renewable Energy, and Biological Flows

Abstract: 
<h3 class="red">High-Resolution Numerical Simulations of Environmental, Renewable Energy, and Biological Flows</h3><p>The <a href="http://cfdlab.safl.umn.edu/">Computational Hydrodynamics and Biofluids Group</a> at the <a href="http://safl.umn.edu/">St. Anthony Falls Laboratory</a> is developing high resolution, fluid-structure interaction computational fluid dynamics models for simulating: physiologic blood flow in mechanical heart valves implanted in patient-specific anatomies; flow past wind and hydrokinetic turbines; and turbulent flow and sediment transport in natural rivers with nature and man-made structures. The numerical algorithms employ a sharp-interface immersed boundary method for handling arbitrarily complex geometries with multiple moving immersed bodies enhanced with local grid refinement approach. Both loose and strongly coupled fluid structure interaction algorithms have been developed and validated. The computer code has been parallelized with MPI.</p><p>Return to this PI&#39;s <a href="https://www.msi.umn.edu/pi/488b60f944458bb2c991374eadb6ea67/56160">main page</a>.</p>
Group name: 
sotiropo

How do I get help using MSI's software? What tutorials are available?

Consultants and analysts at MSI provide assistance with software questions depending on the service level of software . Please contact MSI by email help@msi.umn.edu to inquire about getting one-on-one time with an MSI consultant. MSI hosts tutorials on various topics, including computational...

12/3/12: MSI at CSE Family Fun Fair

MSI participated in the College of Science and Engineering’s Family Fun Fair on November 17, 2012. This annual event, which is designed to introduce children to science and math in fun and interactive ways, had nearly 2,500 participants this year. At the MSI booth, hundreds of kids created models...

Computing Workshops Offered

The SC09 Education Program and the National Computational Science Institute are offering a number of workshops over the summer and fall. Workshops are available in a number of fields related to high-performance computing, including parallel and cluster computing, biology, chemistry, physics,...

Message from the Director

The Minnesota Supercomputing Institute (MSI) provides advanced research computing infrastructure and expertise in scientific computing, informatics, and application development to the University of Minnesota research and scholarly community and to external partners across all areas of human inquiry...

Pages