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Designed especially for neurobiologists, FluoRender is an interactive tool for multi-channel fluorescence microscopy data visualization and analysis.
Deep brain stimulation
BrainStimulator is a set of networks that are used in SCIRun to perform simulations of brain stimulation such as transcranial direct current stimulation (tDCS) and magnetic transcranial stimulation (TMS).
Developing software tools for science has always been a central vision of the SCI Institute.

Events on November 7, 2014

Alex Bigelow

Alex Bigelow Presents:

Reflections on How Designers Design With Data

November 7, 2014 at 2:00pm for 30min
Evans Conference Room, WEB 3780
Warnock Engineering Building, 3rd floor.

Abstract:

In recent years many popular data visualizations have emerged that are created largely by designers whose main area of expertise is not computer science. Designers generate these visualizations using a handful of design tools and environments. To better inform the development of tools intended for designers working with data, we set out to understand designers' challenges and perspectives. We interviewed professional designers, conducted observations of designers working with data in the lab, and observed designers working with data in team settings in the wild. A set of patterns emerged from these observations from which we extract a number of themes that provide a new perspective on design considerations for visualization tool creators, as well as on known engineering problems.
Paper, Slides

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Sidharth Kumar

Sidharth Kumar Presents:

Efficient I/O and Storage of Adaptive Resolution Data

November 7, 2014 at 2:30pm for 30min
Evans Conference Room, WEB 3780
Warnock Engineering Building, 3rd floor.

Abstract:

We present an efficient, flexible, adaptive-resolution I/O framework that is suitable for both uniform and Adaptive Mesh Resolution (AMR) simulations. In an AMR setting, current solutions typically represent each resolution level as independent grids which often results in inefficient storage and performance. Our technique coalesces domain data into a unified, multi-resolution representation with fast spatially aggregated I/O. Furthermore, our framework easily extends to importance-driven storage of uniform grids, for example, by storing regions of interest at full resolution and nonessential regions at lower resolution for visualization or analysis. Our framework, which is an extension of the PIDX framework, achieves state of the art disk usage and I/O performance regardless of resolution of the data, regions of interest, and the number of processes that generated the data. We demonstrate the scalability and efficiency of our framework using the Uintah and S3D large-scale combustion codes on machines Mira and Edison.

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