Will Usher

Graduate Research Assistant

SCI Institute, University of Utah
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_wusher

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Bio

I'm a Graduate Research Assistant at the Scientific Computing and Imaging Institute at the University of Utah, working with Valerio Pascucci. Before joining the Ph.D. program at Utah I obtained a B.S. in physics with a minor in computer science at the University of California, Riverside. My research interests cover a range of areas in scientific visualization and computer graphics including: distributed rendering, virtual reality, in situ visualization and ray tracing.

Publications

A Virtual Reality Visualization Tool for Neuron Tracing
Will Usher, Pavol Klacansky, Frederick Federer, Peer-Timo Bremer, Aaron Knoll, Jeff Yarch, Alessandra Angelucci, and Valerio Pascucci. IEEE Transactions on Visualization and Computer Graphics, 2018.
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VisIt-OSPRay: Toward an Exascale Volume Visualization System
Qi Wu, Will Usher, Steve Petruzza, Sidharth Kumar, Feng Wang, Ingo Wald, Valerio Pascucci, and Charles D. Hansen. Eurographics Symposium on Parallel Graphics and Visualization (To Appear), 2018.
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Scalable Data Management of the Uintah Simulation Framework for Next-Generation Engineering Problems with Radiation
Sidharth Kumar, Alan Humphrey, Will Usher, Steve Petruzza Brad Peterson, John A. Schmidt, Derek Harris, Ben Isaac, Jeremy Thornock, Todd Harman, Valerio Pascucci, and Martin Berzins. Supercomputing Frontiers, 2018.
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CPU Volume Rendering of Adaptive Mesh Refinement Data
Ingo Wald, Carson Brownlee, Will Usher, Aaron Knoll. SIGGRAPH Asia 2017 Symposium on Visualization, 2017.
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Progressive CPU Volume Rendering with Sample Accumulation
Will Usher, Jefferson Amstutz, Carson Brownlee, Aaron Knoll, Ingo Wald. Eurographics Symposium on Parallel Graphics and Visualization, 2017.
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In Situ Exploration of Particle Simulations with CPU Ray Tracing
Will Usher, Ingo Wald, Aaron Knoll, Michael Papka, Valerio Pascucci. Supercomputing Frontiers and Innovations, 2016.
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VTK-m: Accelerating the Visualization Toolkit for Massively Threaded Architectures
Kenneth Moreland, Christopher Sewell, William Usher, Li-ta Lo, Jeremy Meredith, David Pugmire, James Kress, Hendrik Schroots, Kwan-Liu Ma, Hank Childs, Matthew Larsen, Chun-Ming Chen, Robert Maynard, Berk Geveci. IEEE Computer Graphics and Applications, 2016.
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CPU Ray Tracing Large Particle Data with Balanced P-k-d Trees
Ingo Wald, Aaron Knoll, Gregory P. Johnson, Will Usher, Valerio Pasucci, Michael E. Papka. IEEE Vis (conference), 2015.
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Selected Projects

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More projects can be found on my projects page.