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MSI Purchases New Storage System

UPDATE: The new storage system will be activated on January 9, 2013. All data should be migrated to the new system during January - July 2013. Complete information can be found on the Panasas Migration Guide webpage. The Minnesota Supercomputing Institute (MSI) is putting into a production a new...

Discovery of Compounds That Inhibit Select RNA Viruses

Abstract: 

Discovery of Compounds That Inhibit Select RNA Viruses

These researchers' main interests are identifying anti-viral drug targets for major human pathogens and evaluating small molecules for their ability to inhibit those targets and virus replication. They employ four main approaches to uncover small molecules that inhibit the replication and pathogenesis of viruses:

  • Conduct phenotypic screens to evaluate anti-viral activity of small molecules.
  • Collaborate with medicinal chemists, computational chemists, and structural biologists to rationally design small molecule inhibitors of established and novel viral drug targets.
  • Design and implement high throughput screening to identify small molecules that inhibit known and novel viral drug targets.
  • Understand mechanism of effect of small molecule inhibitors.

Passage of virus in the presence of inhibitors will generate resistant virus and the researchers can sequence viral genomes to understand which viral gene products are important for inhibition and aspects of those proteins that interact with inibitors. They use MSI resources to help analyze large amounts of nucleic acid sequence data to understand how inhibitors function. In addition, the researchers are developing reagents to understand replication of RNA viruses such as coronaviruses and to screen for coronavirus inhibitors. They have used MSI resources previously to analyze the nucleic acid sequence data from a candidate viral repicon and are continuing that analysis.

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Group name: 
geraghty

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...

The Impact of Emerging Technologies on the Design of Computer Systems

Abstract: 

The Impact of Emerging Technologies on the Design of Computer Systems

The overall goal of this group’s work is to develop computer systems that satisfy a desired set of constraints. These constraints typically require non-obvious trade-offs in performance, power consumption, cost, and reliability. The researchers are particularly interested in how changes in the underlying technology, such as the trend towards smaller feature sizes in VLSI circuits and new types of technologies, affect how computer systems will be designed in the future. They are working on several interrelated projects in this broad area, including the development of techniques to automatically classify the benchmark programs used to evaluate the performance of computer systems, techniques to statistically evaluate large design spaces, and studying how spintronics components might be used to design computer systems.   

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Group name: 
liljadj

HP Town Hall Meeting, September 17

posted on September 12, 2013 As part of the ongoing selection process for the next HPC system at MSI, MSI has invited top high performance computing vendors to present their high performance computing portfolios and roadmaps to users in a Town Hall setting. HP will be on-site Tuesday, September 17...

Impact of Alcohol and Drug Use on the Development of Neural Connections During Adolescence and Young Adulthood

Abstract: 

Impact of Alcohol and Drug Use on the Development of Neural Connections During Adolescence and Young Adulthood           

The primary aims of this ongoing longitudinal study are to conduct a comprehensive investigation of brain development during adolescence and early adulthood and to determine how brain development is altered when individuals begin to use alcohol (as well as other drugs, such as marijuana) during this period. The researchers employ an extensive two-day data collection protocol at each study time point, consisting of behavioral assessments (interviews, questionnaires, computerized testing), brain magnetic resonance imaging (MRI; high resolution anatomical scans, several types of diffusion scans, spectroscopy, resting functional scans), and electroencephalography (EEG). They also have a one-time collection of genetic data (single-nucleotide polymorphisms). Data collection waves occur at two-year intervals and currently the researchers are completing their fifth assessment. In their analyses within and across these types of data, the researchers investigate the refinement of brain network connectivity during normal adolescent development and identify alterations due to alcohol and drug use. MSI resources are heavily used to achieve this “connectivity” aspect of this brain-behavior research, which relates directly to the goals of the Human Connectome Project. For example, using high-resolution anatomical MRI scans, the researchers extract complete representations of the cortical surface in both brain hemispheres; using diffusion MRI scans they compute measures of the microstructural organization of neural fibers that connect brain regions, and then conduct a “virtual dissection” of these fibers using probabilistic tractography; using resting functional MRI scans they measure neurophysiological activity across multiple overlapping brain networks; using EEG recordings they identify the coordinated synchronization of electrophysiological activity within brain networks in response to external stimuli; and so on. MSI resources are used in all of these analyses, for both data preprocessing and permutation-based statistics. 

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Group name: 
lucianam

Seventh-graders Introduced to Supercomputing

On June 26, 2008, Brian Ropers-Huilman, MSI Director of Systems Administration and Technical Operations, spoke to a group of seventh-grade students about MSI, high-performance computing, and programming for supercomputers. The students are taking a class in Math and Programming as part of the...

MSI Exhibits at SC08

The University of Minnesota's Supercomputing Institute showcased the University's research efforts at this year's Supercomputing Conference held November 15-21, 2008 in Austin, TX. The SC Conference is the premier international conference for high performance computing (HPC), networking, storage...

MSI Fellow Vipin Kumar Receives NSF Grant

Professor and MSI Fellow Vipin Kumar (Computer Science and Engineering) will be leading an interdisciplinary team from the University of Minnesota and other universities nationwide in a $10 million NSF project to study climate change. Professor Kumar's group uses MSI resources to develop the high-...

This one-day, hands-on workshop provides an introduction on how to write a parallel program using MPI and will help researchers write better and portable parallel codes for distributed-memory Linux clusters.

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