Abstract: We describe our experience designing and delivering a general education technological fluency course that frames the discussion of computer science and engineering technology (electronics and programming) in the context of sound-art: art that uses sound as its medium. This course is aimed at undergraduate students from a wide variety of backgrounds and is designed to fit into the "Intellectual Explorations" area of a general undergraduate program. The goal is to introduce computer engineering and computational principles to non-CS students through an exploration of sound-art, experimental and electronic music, noise-making circuits, hardware hacking, and circuit bending.
Early Science Projects for Aurora Supercomputer Announced
Congratulations to Martin Berzins and the Carbon-Capture Multidisciplinary Simulation Center on their selection as one of ten computational science and engineering research projects for its Aurora Early Science Program starting this month. Aurora, a massively parallel, manycore Intel-Cray supercomputer, will be ALCF's next leadership-class computing resource and is expected to arrive in 2018.
Congratulations to SCI Institute Alumnus Thiago Ize for receiving a Technical Achievement Oscar for his work on ray tracing:
To Marcos Fajardo for the creative vision and original implementation of the Arnold Renderer, and to Chris Kulla, Alan King, Thiago Ize and Clifford Stein for their highly optimized geometry engine and novel ray-tracing algorithms which unify the rendering of curves, surfaces, volumetrics and subsurface scattering as developed at Sony Pictures Imageworks and Solid Angle SL.
Laura Lediaev wins the Utah Rendering Competition for the 3rd straight year
Congratulations to Laura Lediaev, who won the Utah Rendering Competition for the third year in a row. Laura's entry, titled Christmas Teapots, was the overall winner and receiver of the audience choice award. The rendering is based on creating time-varying composites of light layers in order to simulate the effect of twinkling Christmas lights and flickering candles. The scene has 30 lights, one inside each teapot. Light layers are created during rendering by saving the contribution of each light into its own image. This produced 30 images/layers. Each light produced 4,000 samples per pixel. That adds up to 120,000 samples per pixel after compositing. Laura allowed up to 10 diffuse light bounces and 200 specular bounces.
Congratulations to Miriah Meyer, who receive this year's University of Utah Distinguished Alumni Award. To celebrate the founding of the University of Utah in 1850, the Alumni Association each year recognizes alumni and honorary alumni who have excelled professionally, served the local and national communities, and supported the university in its mission.
A reception and dinner will be held Friday, March 3rd at the Little America Hotel in Salt Lake City. Tickets for the reception are available through the University of Utah Alumni Association.
SCIx 2016: November 16th
SCI Institute Technical Exchange (SCI X) was created to strengthen the interactions between the SCI Institute and other academic researchers, and also those companies conducting or wishing to conduct research with the University and inspire them to increase their collaborative efforts in research and new product development.
SCI X is intended to provide its guests access to unique resources and expertise found within the SCI Institute, creating an expanded relationship between the SCI Institute and our past, present and future academic and industry collaborators.
Fluorender Features on Cover of Disease Models and Mechanisms
An image of the ulnar-mammary syndrome, visualized with FluoRender, was chosen for the cover of Disease Models and Mechanisms. CIBC Collaborator, Gabrielle Kardon's article can be found here in it's entirety.
With fall conferences in full swing, the SCI Institute and our alumni had an amazing showing.
Alex Bigelow and SCI alumnus Roni Choudhury, who, along with Jeff Baumes from Kitware received the Visualization in Practice Best Paper Award at the IEEE Visualization Conference for their paper: Resonant Laboratory and Candela: Spreading your Visualization Ideas to the Masses. Chris Johnson was a participant in the panel: Pathways for Theoretical Advances in Visualization, moderated by Min Chen, which won the best panel award at the IEEE Visualization Conference. The other panelists included Georges Grinstein, Jessie Kennedy, Tamara Munzner, and Melanie Tory. Finally, congratulations to SCI Alumnus Julien Tierny, who with Hamish Carr received the Scientific Visualization Best Paper Award at the IEEE Visualization Conference for their paper: Jacobi Fiber Surfaces for Bivariate Reeb Space Computation.
Yong Wan recieved best poster at BioVis for his display of the functionality and application of FluoRender.
Caleb Rottman, who was a finalist for the MICCAI 2016 Young Scientist Award for his paper: Diffeomorphic Density Registration in Thoracic Computed Tomography. Caleb Rottman, Ben Larson, Pouya Sabouri, Amit Sawant, Sarang Joshi. Also at MICCAI, recent SCI Alumnus Miaomiao Zhang (Ph.D. 2015), was another of the finalists for the Young Scientist Award for her paper: Low-Dimensional Statistics of Anatomical Variability Via Compact Representation of Image Deformations. Miaomiao Zhang, William Sandy Wells, Polina Golland.
Fluorender 2.20 Released
We are excited to announce the latest release of FluoRender, version 2.20, which incorporates improvements, bug fixes, and new features.
Clustering algorithms. Three clustering algorithms for segmentation are added: expectation-maximization on Gaussian mixture, DBSCAN, and k-means. Users can use these methods in the "Component" window.
Improved tracking algorithms. Tracking accuracy has been improved. We improved the algorithm for generating the track map and incorporated clustering algorithms to automatically segment during tracking. Users can also adjust a series of parameters in the "Tracking" window to fine tune the tracking.
A new 4D script for tracking sparse particles. The 4D script allows users to track selected features in a time sequence. No initial segmentation is required for it to work. It can be used to track sparse and small features conveniently.
A density setting for component generation. The density setting has been added in the basic component generation. Its concept is based on the clustering algorithm DBSCAN. However, its implementation is based on the synthetic brainbows algorithm, which uses GPU to compute segmentation of dense data sets.
Render view output enlargement. The option has been added when the render view is captured and saved as an image. Users can set an output image size larger than the render view size.
4D script list. The list of built-in 4D scripts has been added to the "Record/Export" panel. Users can easily select and switch 4D scripts without browsing to the actual files.