Articles tagged with: Titan
Every month the OLCF hosts webinar-based conference calls to provide system users with information about best practices, new tools, and how-to guides.
Multi-institution research team uses supercomputing to understand processes leading to increased drought resistance in food and fuel crops.
Using advanced modeling and simulation, seismic data generated by earthquakes, and one of the world’s fastest supercomputers, a team led by Jeroen Tromp of Princeton University is creating a detailed 3-D picture of Earth’s interior.
In 2016, the OLCF introduced a new runtime framework that allows users of hybrid systems—such as the OLCF’s 27-petaflop Titan—to better exploit GPU-accelerated architectures.
University of Virginia professor Leonid Zhigilei led a team that used the OLCF’s Titan supercomputer to gain deeper insights into laser interactions with metal surfaces.
As part of her team’s research into matter’s tendency to self-organize, Sharon Glotzer of the University of Michigan ran a series of hard particle simulations to study melting in two-dimensional (2-D) systems.
A team led by the California Institute of Technology’s (Caltech’s) Thomas Miller used the OLCF’s Titan to identify potential electrolyte materials and predict which ones could enhance the performance of lithium-ion batteries.
In November, the OLCF offered its first 3-day, Mini GPU Hackathon to accommodate overflow from its annual, 5-day hackathon held in October of this year.
Using the Titan supercomputer, a team at Oak Ridge National Laboratory is developing automated data tools for cancer research by employing deep learning techniques.
Over the last decade, the OLCF has improved its notification practices to include more targeted material and additional ways to get the message out.