University of California, Davis
Aug 2017 - Jul 2018
Apr 2013 - Sep 2014
Nicholas Joodi: Automatic Knowledge Base Construction and Hypothesis Generation: Antibiotic Resistance Mechanisms for Escherichia Coli
Blue Waters Symposium 2018, Jun 5, 2018
Blue Waters Symposium 2017, May 16, 2017
Blue Waters Symposium 2016, Jun 14, 2016
Blue Waters Symposium 2014, May 13, 2014
Apr 21, 2010
Petascale Computing Resource Allocations (PRAC awards) from the National Science Foundation allow research teams to work closely with the Blue Waters project team in preparing their codes. The codes and projects address key challenges faced by our society and explore fundamental scientific and engineering problems. These multiyear collaborations include help porting and re-engineering existing applications. In some cases, the teams will build entirely new applications based on new programming models. Current projects—18 representing about 30 institutions—represent a wide range of scientific disciplines. They will drive scientific discovery for years to come.
Jan 13, 2010
The Blue Waters supercomputer is one of the most powerful supercomputers in the world for open scientific research when it comes online at Illinois in 2011. How will scientists and engineers across the country use this tremendous resource? How will their research be advanced by a supercomputer that can do 1 quadrillion calculations every second? Many scientists are working now with the Blue Waters team so they are ready to use the massive sustained-petaflop supercomputer when it comes online in 2011. These teams will use Blue Waters to improve our understanding of everything from the Earth's climate to earthquakes.
Oct 28, 2016
Predicting the reactions of living cells—huge numbers of genes, proteins, and enzymes, embedded in complex pathways and feedback loops—is a challenging task. Yet researchers are attempting just that, by building a computer model that predicts the behavior of a single cell of the bacterium Escherichia coli. The new simulation is the largest of its kind yet, says Ilias Tagkopoulos, professor of computer science at the University of California, Davis. “The number of layers, and the amount of data involved are unprecedented.”
Nov 9, 2016
Before you savor the first bite of that delicious snack you have tucked in your bag to get you through the mid-afternoon slump, take a moment to thank Ilias Tagkopoulos—it's researchers like him that help keep your food safe from nasty bacteria. A computer scientist by trade, Tagkopoulos runs an experimental microbiology lab at University of California-Davis. He has been using the Blue Waters supercomputer to predict the cellular behavior of E. coli. The findings were recently published in Nature Communications. "The level of integration in advanced machine learning, high performance computing and experimental microbiology is something rare," he says. "It's really an interdisciplinary project that could not be done by just one discipline."