Associate Professor, University of Utah
We introduce Klareco, a visualization architecture that foregoes the ETL process allowing quick access to multiple data sources. The architecture uses an indexing engine for accessing data with multiple schema, microservices to analyze data, and visualizations to explore the data.
Continue readingWe propose a novel simplification scheme derived from the recently introduced topological notion of robustness which enables the pruning of sets of critical points according to a quantitative measure of their stability, that is, the minimum amount of vector field perturbation required to remove them.
Continue readingIn this paper, we propose a novel simplification scheme derived from the recently introduced topological notion of robustness, which provides a complementary view on flow structure compared to the traditional topological-skeleton-based approaches. Robustness enables the pruning of sets of critical points according to a quantitative measure of their stability, that is, the minimum amount of vector field perturbation required to remove them. This leads to a hierarchical simplification scheme that encodes flow magnitude in its perturbation metric.
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The flexible pinhole camera allows flexible modulation of the sampling rate over the field of viewand provides inexpensive 3D projection that allows rendering complex datasets quickly. The resulting image, a coherent nonuniform sampling of the dataset that matches the local variation of the dataset’s importance, has been successfully implemented for remote visualization, focus-plus-context visualization, and acceleration of expensive rendering effects such as specular reflection.
Continue readingIn this paper, we present a network activity visualization using
a novel aggregation glyph called the clyph, which intuitively combines spatial,
temporal, and quantity data about multiple network events.
This paper derives expressions for the arc length and the bending energy of quadratic Bezier curves.
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Quantification and visualization of uncertainty in cardiac forward and inverse problems with complex geometries is subject to various challenges. In order to overcome these limitations in uncertainty visualization, we have developed and implemented a collection of novel approaches.
Continue readingThis paper introduces the Ray Graph – a general framework for panorama construction. With rays as its vertices, the Ray Graph uses its edges to specify a set of coherency relationships among all input rays. Consequently, by using a set of simple graph traversal rules, a diverse set of panorama structures can be enumerated, which can be used to efficiently and robustly generate panoramic images from image collections.
Continue readingWe have created the Myocardial Uncertainty Viewer (muView) tool
for exploring data stemming from the forward simulation of cardiac ischemia. The simulation
uses a collection of conductivity values to understand how ischemic regions affect the
undamaged anisotropic heart tissue. muView combines a suite of visual analysis methods to
explore the area surrounding the ischemic zone and identify how perturbations of variables
changes the propagation of their effects.
We present an approach to investigate the memory behavior of a parallel kernel executing on thousands of threads simultaneously within the CUDA architecture. Our top-down approach allows for quickly identifying any significant differences between the execution of the many blocks and warps. As interesting warps are identified, we allow further investigation of memory behavior by visualizing the shared memory bank conflicts and global memory coalescence.
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