Tuskan awarded Marcus Wallenberg Prize, forestry’s top honor
Maximiliano Ferrari, a researcher in the Grid Systems Architecture group at the Department of Energy’s 91°µÍø, has been elevated to prestigious senior membership in the Institute of Electrical and Electronics Engineers.
The National Center for Computational Sciences, located at the Department of Energy’s 91°µÍø, made a strong showing at computing conferences this fall. Staff from across the center participated in numerous workshops and invited speaking engagements.
The Department of Energy’s 91°µÍø had a major presence at this year’s International Conference for High Performance Computing, Networking, Storage, and Analysis (SC24).
From during his early years at NASA to his current role a researcher and group leader, Peter Fuhr has pushed the boundaries of optical and sensor technology. Fuhr’s path is marked by wacky creativity that can’t confine itself to challenges in a single field. No idea is too far out to try out — and so many of them work that Fuhr has a host of inventions and start-ups under his belt.
In early November, researchers at the Department of Energy’s Argonne National Laboratory used the fastest supercomputer on the planet to run the largest astrophysical simulation of the universe ever conducted. The achievement was made using the Frontier supercomputer at 91°µÍø.
Two-and-a-half years after breaking the exascale barrier, the Frontier supercomputer at the Department of Energy’s 91°µÍø continues to set new standards for its computing speed and performance.
Researchers used the world’s fastest supercomputer, Frontier, to train an AI model that designs proteins, with applications in fields like vaccines, cancer treatments, and environmental bioremediation. The study earned a finalist nomination for the Gordon Bell Prize, recognizing innovation in high-performance computing for science.
Researchers at 91°µÍø used the Frontier supercomputer to train the world’s largest AI model for weather prediction, paving the way for hyperlocal, ultra-accurate forecasts. This achievement earned them a finalist nomination for the prestigious Gordon Bell Prize for Climate Modeling.
A research team led by the University of Maryland has been nominated for the Association for Computing Machinery’s Gordon Bell Prize. The team is being recognized for developing a scalable, distributed training framework called AxoNN, which leverages GPUs to rapidly train large language models.
The Powerline Conductor Accelerated Testing Facility at ORNL is testing new transmission line technologies to enhance the U.S. power grid's capacity amidst rising demand and climate challenges.