Sept. 19, 2022 — The U.S. Department of Energy today announced $15 million in funding for basic research to explore potentially high-impact approaches in scientific computing and extreme-scale science. DOE said the projects will address disruptive technology changes from emerging trends in high-end computing, massive datasets, artificial intelligence, and increasingly heterogeneous architectures such as neuromorphic […]
LLNL, Oak Ridge Among Winners of $15M in DOE Funds for Extreme-Scale Scientific Computing
September 19, 2022 by
Los Alamos, PNNL, Univ. of New Mexico Researchers to Lead $70M DOE HPC Climate Model Projects
August 30, 2022 by
The U.S. Department of Energy (DOE) today announced $70 million in funding for seven projects intended to improve climate prediction and aid in the fight against climate change. The research will be used to accelerate development of DOE’s Energy Exascale Earth System Model (E3SM), enabling scientific discovery through collaborations between climate scientists, computer scientists and […]
Ruby Leung, Chief Scientist for Energy Exascale Earth System Model Project, Named a DOE Distinguished Scientist Fellow.
September 28, 2021 by
Ruby Leung likes to ask questions. That started at her high school in Hong Kong, where she also became interested in science. “I was one of those kids in science who always was curious. And then you can find the answers,” said Leung, an atmospheric scientist at Pacific Northwest National Laboratory (PNNL) in Richland, Washington. “Of course, after you […]
PNNL’S CENATE Taps ML to Guard DOE Supercomputers Against Illegitimate Workloads
October 28, 2020 by
Pacific Northwest National Lab sent along this article today by PNNL’s Allan Brettman, who writes about the advanced techniques used by the lab’s Center for Advanced Technology Evaluation (CENATE) “to judge HPC workload legitimacy that is as stealthy as an undercover detective surveying the scene through a two-way mirror.” This includes machine learning methods, such […]
