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LLNL, Oak Ridge Among Winners of $15M in DOE Funds for Extreme-Scale Scientific Computing

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 […]

Los Alamos, PNNL, Univ. of New Mexico Researchers to Lead $70M DOE HPC Climate Model Projects

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 […]

PNNL and Micron Partner to Push Memory Boundaries for HPC and AI

Researchers at Pacific Northwest National Laboratory (PNNL) and Micron are are developing an advanced memory system to support AI for scientific computing. The work is designed to address AI’s insatiable demand for live data — to push the boundaries of memory-bound AI applications — by connecting memory across processors in a technology strategy utilizing the […]

Ruby Leung, Chief Scientist for Energy Exascale Earth System Model Project, Named a DOE Distinguished Scientist Fellow.

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

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 […]

New Library of Artificial Antibodies Could Target Pathogens With Molecular Precision

A research team led by Berkeley Lab has developed a technique that could accelerate the design of artificial antibodies for biomedical applications – from sensing technologies that detect and neutralize infectious viruses and bacteria to the early detection of Alzheimer’s. “We can now readily build populations of rugged synthetic materials that can be engineered to recognize a potential pathogen,” said Zuckermann. “It is a shining example of biomimetic nanoscience.”

Deep Learning on Summit Supercomputer Powers Insights for Nuclear Waste Remediation

A research collaboration between LBNL, PNNL, Brown University, and NVIDIA has achieved exaflop (half-precision) performance on the Summit supercomputer with a deep learning application used to model subsurface flow in the study of nuclear waste remediation. Their achievement, which will be presented during the “Deep Learning on Supercomputers” workshop at SC19, demonstrates the promise of physics-informed generative adversarial networks (GANs) for analyzing complex, large-scale science problems.

PNNL Leads Quantum Nexus Summit in Seattle

Today a coalition led by Pacific Northwest National Laboratory, Microsoft Quantum, and the University of Washington will convene in Seattle to launch the Northwest Quantum Nexus. The invite-only Summit will establish a center of geographic and intellectual gravity in the Northwest, where a talent pool can flourish and contribute to the quantum economy, through knowledge sharing, skill and experience development, research impacts, and community engagement. “By establishing this partnership in quantum computing, we are planting a seed in fertile ground. We are forming a nexus for nurturing a talent pool and establishing the quantum economy through knowledge sharing, skill and experience development, and community engagement.”

How Supercomputing could help save newborn babies with LungMap

Over at TACC, Faith Singer-Villalobos writes that researchers are using supercomputers to better understand the lung development of premature babies. The insight derived from large datasets could help save lives. In 2016, over a dozen scientists and engineers toured a neonatal intensive care unit, the section of the hospital that specializes in the care of ill […]

Let’s Talk Exascale Podcast: ECP’s Application Assessment Project

In this Let’s Talk Exascale podcast, Kenny Roche from Pacific Northwest National Laboratory describes the ECP’s Application Assessment Project. “With Productivity, we’re aiming to coordinate how to improve software productivity of the code teams and to sustain that performance and development progress to the completion of each ECP application code project.”