The Institute's first Computational Energy Day Feb. 15 in POB 6.304 will be held as a new addition to the second annual UT Energy Week this year.
The pre-conference workshop will bring together experts in academia, industry, government, and the non-profit world for a fresh look at some of the most vital energy issues facing society. The day's speakers will include nine faculty from ICES and affiliated departments.
ICES Professor Clint Dawson organized the day-long event to focus on computational mathematics and modeling pertaining to fracture mechanics, seismic data, electronic materials, flow and transport, screening tools for modeling energy problems, and chemical manufacturing processes. Read more.Posted: Feb. 4, 2016
Springer scientific publishing has published a book co-edited by Professor Michael Sacks titled "Stucture-Based Mechanics of Tissues and Organs."
According to the publisher, the book offers a comprehensive view of tissue modeling across multiple systems, broadens understanding of state-of-the-art computational modeling and optical measurements of tissues/cell structures, and describes in detail fiber scale properties such as orientation and crimp. Read more.Posted: Jan. 19, 2016
The Intel® Parallel Computing Centers (Intel® PCC) program is collaborating with ICES' Science of High-Performance Computing (SHPC) Group to enable large computer code performance increases while maintaining code portability.
The Intel® PCC at ICES group will develop novel algorithms and runtime systems for performing tensor contractions on multi- and many-core systems such as Intel® Xeon® and Intel® Xeon Phi™ processors. The algorithms are a critical computational step in high-accuracy quantum chemical calculations necessary to describe fully the structure, kinetics, spectroscopy and other physics of atoms and molecules. Read more.Posted: Jan. 19, 2016
The National Science Foundation has awarded ICES Professor Inderjit Dhillon $1.2 million to develop scalable and sophisticated machine learning methods to analyze big data.
"With an ever-growing ability to collect and archive data, massive data sets are becoming increasingly common," said Dhillon, a professor of computer science. "These data sets are often too big to fit into the main memory of a single computer. So there is a great need for developing scalable and sophisticated machine learning methods for their analysis." Read more.Posted: Jan. 12, 2016
ICES Professor Keshav Pingali gave four international keynote speeches and two distinguished university lectures in 2015.
Most recently he served as the keynote speaker at the International Conference on Parallel Computing, ParCo 2015, in Edinburgh, September 2015.