The 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.
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.
The 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.
Martin 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.
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.
Wednesday, September 17th 2014 10 am to 3 pm University of Utah Warnock Engineering Building, Catmull Gallary 72 So. Central Campus Dr.
The first UDCC open house will bring together our consortium partners and engineering students to a single venue. Partners interested in sponsoring student internships through the new Data Center Engineering Certificate will be present for questions, and students will have the opportunity to hear from and engage with some of our nation's leading experts in the field. You can visit our website or email us for more information.
From the University of Utah: Feb. 7, 2014 – The University of Utah's College of Engineering received approval this week for its new graduate certificate program in big data.
This emerging field – which addresses large sets of data too complex, diverse or rapidly changing for one computer to handle – affects everything from studying traffic patterns to managing sensitive information online. Big data is also big business – for example, using big data to improve efficiency and quality in the health care sector is estimated to be worth more than $300 billion each year.
"We're seeing a revolution in the availability of data. It's easy to collect information, but processing and analyzing large stores of data is becoming increasingly difficult. We are at the point where the traditional analytical tools for attacking this problem are breaking down," says Jeff Phillips, assistant professor of computer science and coordinator of the new program.
Computer Simulation of Blood Vessel Growth: Early Step toward Treatment for Diseases that Affect Blood Flow
Jan. 22, 2014 – University of Utah bioengineers showed that tiny blood vessels grow better in the laboratory if the tissue surrounding them is less dense. Then the researchers created a computer simulation to predict such growth accurately – an early step toward treatments to provide blood supply to tissues damaged by diabetes and heart attacks and to skin grafts and implanted ligaments and tendons.