August 27, 2015 - Scott Gibson, Communications Specialist, University of Tennessee
More elegant techniques combined with highly interdisciplinary, multi-scale collaboration are essential for dealing with massive amounts of information, plenary speaker says at the XSEDE15 conference.
A curse of dealing with mounds of data so massive that they require special tools, said computer scientist Valerio Pascucci, is if you look for something, you will probably find it, thus injecting bias into the analysis. XSEDE15 pascucci-sg
In his plenary talk titled "Extreme Data Management Analysis and Visualization: Exploring Large Data for Science Discovery" on July 28 during the XSEDE15 conference in St. Louis, Dr. Pascucci said that getting clean, guaranteed, unbiased results in data analyses requires highly interdisciplinary, multi-scale collaboration and techniques that unify the math and computer science behind the applications used in physics, biology, and medicine.
As a result of our funding for this project, the CIBC has developed a custom website in order to manage different user rolls, search scenarios, and the editing and addition of new Centers and their resources. Resources are tagged with the appropriate filters and keywords based on an extensive search through resource descriptions (OS, acceptable data formats, data size, field of research, etc.). It is our hope that participating Centers will create additional keywords to not only aid in finding resources, but also cross-educate other Centers to the nature of their research. It is our further hope that this Portal will enhance collaboration between Centers and leverage the great work that has already been done.
The Scientific Computing and Imaging Institute is excited to announce the first official alpha release of SCIRun 5.0!
New features include a new user interface based on the cross-platform Qt toolkit, updated graphics and visualization system, improved algorithm stability, expanded test coverage, a leaner and modernized codebase, better math library support through Eigen, and streamlined support for new modules and toolkit development. A Python scripting engine and Matlab interface will be available in our beta release.
For users building from source, please review the updated build instructions at www.seg3d.org as our CMake-based build has changed considerably since 2.1.5. This release contains bug fixes, upgraded third party libraries and tool improvements.
SCI Institute welcomes two new Professors in Computer Science and Mathematics
Dr. Alexander Lex, School of Computing
Dr. Lex received his Bachelor's, Master's, and PhD degrees from the Graz University of Technology. For the past three years he was a Postdoctoral Fellow and Lecturer at the Harvard School of Engineering and Applied Sciences. In 2011 he completed a research internship at the Computational Genomics Lab at the Harvard Medical School.
He develops interactive data analysis methods for experts and scientists. His primary research interest is interactive data visualization and analysis, especially applied to molecular biology and pharmacology. His research is driven by the observation that there are many data analysis challenges that require human reasoning and cannot be solved automatically. He is also interested in Human Computer Interaction and Bioinformatics.
A Hands-on Tutorial in Data Generation, Processing, and Delivery for High Performance Computing and High Resolution Imaging Dates: June 28-29 From 8:30am to 12noon Location: KAUST Library Computer Classroom Registration:http://tiny.cc/KAUST_BDM15_registration
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).
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.
We 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.
Utah team turns to computing to design clean oxy-coal boiler
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.
A glimpse inside a coal-fired boiler. Click image to enlarge and for more information.
SC15 Video Highlights Cutting-Edge Brain Simulations that help Parkinson’s Patients
An 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.