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.

News

Dr. Christopher Butson and Dr. Paul HouseHOW UNIVERSITY OF UTAH HEALTH CARE REMAINS AMONG THE NATION'S BEST IN DEEP BRAIN STIMULATION (DBS)
From University of Utah Clinical Neurosciences Center Convergence (See page 12)
By Jennifer Dobner

It sounds like something straight from a scene in a science fiction film: Surgery that places a set of wires under the skull so that electrical signals can be transmitted to different areas of the brain. It's called DBS, or deep brain stimulation. And if the idea of it seems a bit wince-inducing or scary, then understanding the power of what it can do - quiet the tremors associated with Parkinson's disease and other brain disorders - will likely wash away any patient's fears.

Uintah 1.6 ReleasedThe Uintah software suite is a set of libraries and applications for simulating and analyzing complex chemical and physical reactions. These reactions are modeled by solving partial differential equations on structured adaptive grids using hundreds to thousands of processors (though smaller simulations may also be run on a scientist's desktop computer). Key software applications have been developed for exploring the fine details of metal containers (encompassing energetic materials) embedded in large hydrocarbon fires. Uintah's underlying technologies have led to novel techniques for understanding large pool eddy fires as well as new methods for simulating fluid-structure interactions. The software is general purpose in nature and the breadth of simulation domains continues to grow beyond the original focus of the C-SAFE initiative.

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FluoRender 2.15.1 ReleasedWe are happy to announce the 2.15.1 release of FluoRender. For details, check the release notes and download FluoRender at www.fluorender.com.

fluorender newsWe are happy to announce the 2.15 release of FluoRender. For details, check the release notes and download FluoRender at www.fluorender.com.

nvidia-renewalThe NVIDIA Corporation, the worldwide leader in visual computing technologies has renewed the University of Utah's recognition as a CUDA Center of Excellence, a milestone that marks the continuing of a significant partnership, starting in 2008, between the two organizations.

NVIDIA® CUDA™ technology is an award-winning C-compiler and software development kit (SDK) for developing computing applications on GPUs. Its inclusion in the University of Utah's curriculum is a clear indicator of the ground-swell that parallel computing using a many-core architecture is having on the high-performance computing industry. One of twenty-two centers, the University of Utah was the second school to be recognized as a CUDA Center of Excellence along with the University of Illinois at Urbana-Champaign. Over 50 other schools and universities now include CUDA technology as part of their Computer Science curriculum or in their research.

From KUTV.com | Wednesday, January 14, 2015 | Chris Miller

berzins-kutv(KUTV) A team of researchers from the University of Utah is wrapping up an exhaustive five-year study looking into a mysterious explosion of a semi-truck in Spanish Fork Canyon back in 2005.

The truck was packed with 35,000 pounds of mining explosives. It blew up after the truck rolled over, leaving a massive crater, 70-feet wide and 30-feet deep.

There were no fatalities but explosions like the one that happened on Aug. 10, 2005 are extremely rare. But the team of researchers is determined to prevent this type of incident from happening again.

martin-ascac newsMartin Berzins has been appointed a member of the Advanced Scientific Computing Advisory Committee (ASCAC). The committee provides advice and recommendations on scientific, technical, and programmatic issues relating to the ASCAC Program.

The Advanced Scientific Computing Advisory Committee (ASCAC), established on August 12, 1999, provides valuable, independent advice to the Department of Energy on a variety of complex scientific and technical issues related to its Advanced Scientific Computing Research program.

Learn more about ASCAC
spatio-temporal-book newsS. Durrleman, P.T. Fletcher, G. Gerig, M. Niethammer, X. Pennec (Eds.)

Third International Workshop, STIA 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers

Series: Image Processing, Computer Vision, Pattern Recognition, and Graphics, Vol. 8682, Springer LNCS

Simulations Aimed at Safer Transport of ExplosivesCredit: Jim Collins - Argonne Leadership Computing Facility
See original article: "Simulations Aimed at Safer Transport of Explosives"

In 2005, a semi-truck hauling 35,000 pounds of explosives through the Spanish Fork Canyon in Utah crashed and caught fire, causing a dramatic explosion that left a 30-by-70-foot crater in the highway.

Fortunately, there were no fatalities. With about three minutes between the crash and the explosion, the driver and other motorists had time to flee. Some injuries did occur, however, as the explosion sent debris flying in all directions and produced a shock wave that blew out nearby car windows.

TopoStatMethComplexData news Edited by J. Bennett, F. Vivodtzev, V. Pascucci

  • Latest peer-reviewed results in a growing research area
  • Many applications in science and engineering
  • Important contributions to the fields of mathematics and computer science

This book contains papers presented at the Workshop on the Analysis of Large-scale, High-Dimensional, and Multi-Variate Data Using Topology and Statistics, held in Le Barp, France, June 2013. It features the work of some of the most prominent and recognized leaders in the field who examine challenges as well as detail solutions to the analysis of extreme scale data.