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    Visualizing Neural Cells
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    Dr. Jeff Corwin (U.Va. Medical School) and his collaborators obtained high-resolution tomography of mouse neural cells. They used visualization software to explore cell structures. By taking slices of the neural cells and reconstructing a three-dimensional model, they are able to visualize what has never been seen before.
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    Individual-Based Models of Forest Dynamics
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    The goal of this project is to update a forest dynamics model that was originally written in Fortran 77 to a more modern and flexible version of Fortran. Ultimately, the PI (Dr. Herman Shugart, CLAS, Environmental Sciences) wants to study the impact of various scenarios such as climate change or forest succession.
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    Optimizing a Compressible MHD Code for Astrophysics
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    Computational MHD is widely used for astrophysics research. Athena is one of the most popular codes in this field. John Hawley (CLAS, Astronomy) used 4800 cores of Rivanna to carry out a historically high resolution run of Athena to study turbulence in accretion disks.
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    Approximate String Matching Across Literary Corpora
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    Dr. Jerome McGann’s (CLAS, English) project examines different versions of a literary work in which many strings of text have moved relatively to each other with minor internal changes. The project required a UVACSE Tiger Team consultant’s ability to modify a Java program to carry out the analysis.
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    Occupant Protection in Rollover Crashes
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    This problem aims to identify and describe the parameters (occupant, restraint, vehicle, and crash characteristics) that affect occupant injury risk in rollover crashes. For Dr. Jeff Crandall and his team to conduct and analyze this research, UVACSE’s granting of access to U.Va.’s HPC cluster resources were required.

System Status

  • Maintenance Day Scheduled for March 6th
  • Problem With IB Fabric
  • /scratch is now read-only in standard queue
Status page

About Us

UVACSE is a unit within the Office of the Vice President for Research devoted to maintaining, advancing, and providing support for high performance computing systems at the University.

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