Designed especially for neurobiologists, FluoRender is an interactive tool for multi-channel fluorescence microscopy data visualization and analysis.
Large scale visualization on the Powerwall.
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.

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brainstimulatorBrainStimulator 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).

Its modular implementation builds upon the new release of SCIRun 5.0 and following release versions. No additional software is needed to set up, compute, visualize and analyze simulations and their results. The BrainStimulator-specific modules can be visually and functionally combined to form networks including other more generic SCIRun5 modules.

fluorender 2 16We are excited to announce the 2.16 release of FluoRender. For Microsoft Windows users, FluoRender 2.16 incorporates minor feature improvements and issue fixes. However, we have upgraded all graphics functions, conforming to the OpenGL core profile specifications. It allows us to have continuous support for future graphics processing units. FluoRender 2.16 requires graphics cards with a minimum support of OpenGL 3.3. Older graphics hardware need to be replaced. For Apple Mac OS X users, there is the exciting news that all features previously exclusive to Windows are now available*. It still requires relatively recent Apple hardware (2009 and on) and the operating systems.

See the full release notes here.
Coal produces 39 percent of America's electricity, the U.S. Energy Information Administration reports. It's everywhere, and the United States can reliably buy it from other countries if needed. Because of its contribution to smog and global warming, coal has its detractors. But it also remains the largest share of our energy mix – natural gas is a distant second, at 29 percent – so numerous programs are researching technology to clean it up.

berzins fig
A glimpse inside a coal-fired boiler. Click image to enlarge and for more information.

sc15 parkinsonsAn enlightening video series launched by the SC conference steering committee in 2013 aims to illustrate how high performance computing is impacting everyday life – from manufacturing to storm prediction to the making of Hollywood blockbusters. The latest in the series is a short video highlighting the innovative work being done at the University of Utah's Scientific Computing and Imaging Institute in regards to helping Parkinson's patients lead more normal lives through deep brain stimulation (DBS). The Institute helps doctors pinpoint brain stimulation sites that relieve tremors in Parkinson's patients and drastically improve quality of life.

You can read the full article at http://sc15blog.blogspot.com/2015/05/sc15-video-highlights-cutting-edge.html

miriah cs awardCongratulations to Miriah Meyer who received the School of Computing Outstanding Teaching Award.

High resolution photo courtesy of the School of Computing.

For more information and pictures from the graduation reception, visit http://www.cs.utah.edu/faculty-and-students-recognized-with-top-awards-at-graduation-reception/
siam datascienceRecently, the term big data has become ubiquitous. People who can wrangle big data are called data scientists. According to a number of sources, there is a growing need for people trained as data scientists. But what is data science? Is data science its own field or is it an interdisciplinary mix of computer science, mathematics and statistics, and domain knowledge, or perhaps is it really what statisticians have been doing all along? Since data science at scale involves large-scale computation, what is the relation between data science and computational science in research and education?

Read the full article on the SIAM Blogs

Mathematical Technique Reveals Predictive DNA Patterns That Other Methods Missed


Nearly anyone touched by ovarian cancer will tell you: it's devastating. It's bad enough that cancer in almost 80 percent of patients reaches advanced stages before diagnosis, and that most patients are expected to die within five years. But just as painfully, roughly one quarter of women diagnosed have no warning that they are resistant to platinum-based chemotherapy, the main line of defense, nor that they will likely have 18 months to live.

linebarger nsfCongratulations to Erin Linebarger on receiving an NSF Graduate Fellowship. Erin's current research focus is on uncertainty quantification and probability.

The purpose of the NSF Graduate Research Fellowship Program (GRFP) is to help ensure the vitality and diversity of the scientific and engineering workforce of the United States. The program recognizes and supports outstanding graduate students who are pursuing research-based master's and doctoral degrees in science and engineering. The GRFP provides three years of support for the graduate education of individuals who have demonstrated their potential for significant achievements in science and engineering.
mccurdy nsfCongratulations to Nina McCurdy on receiving an NSF Graduate Fellowship. Nina's current research focus is on developing visualization tools for the humanities.

The purpose of the NSF Graduate Research Fellowship Program (GRFP) is to help ensure the vitality and diversity of the scientific and engineering workforce of the United States. The program recognizes and supports outstanding graduate students who are pursuing research-based master's and doctoral degrees in science and engineering. The GRFP provides three years of support for the graduate education of individuals who have demonstrated their potential for significant achievements in science and engineering.
cse15 followThe SIAM CSE15 Co-Chairs: Hans De Sterck (University of Waterloo), Chris Johnson (University of Utah), and Lois Curfman McInnes (Argonne National Laboratory) are happy to report the conclusion of a successful SIAM Computational Science and Engineering (CSE) 2015 Conference.

We were happy to see many of you at the 2015 SIAM Conference on CSE which took place in Salt Lake City during the past week. With 1,700 registered participants, the conference set a new attendance record for a SIAM conference.

There were 9 invited talks, 300 minisymposium sessions, 6 featured minisymposia, 100 contributed presentations, 4 panel discussions, two minitutorials, and 300 posters.