News
SENSE Takes Software-Defined Networking to the Next Level
As part of SC19’s Network Research Exhibition, ESnet will help demonstrate advancements in networked system automation as part of the Software-defined network for End-to-end Networked Science at Exascale (SENSE) project. Read More »
Berkeley Lab to Highlight WarpX Performance, Visualization, and Analysis Workflows at SC19
In a poster presentation at SC19, WarpX team members will present highlights from production simulations run on the Cori supercomputer, plus GPU-specific strategies for WarpX and recent performance results. Read More »
Deep Learning Expands Study of Nuclear Waste Remediation
A research collaboration between Berkeley Lab, Pacific Northwest National Laboratory, Brown University, and NVIDIA has achieved exaflop performance with a deep learning application used to model subsurface flow in the study of nuclear waste remediation. Read More »
NWB:N Gains Traction in the Neuroscience Community
Berkeley Lab developed Neurodata Without Borders: Neurophysiology, a data standard for neurophysiology research and a software ecosystem that allows neuroscientists to share, archive, use, and build tools for analyzing data, is gaining traction in the neuroscience community. Read More »
Machine Learning Algorithms Help Predict Traffic Headaches
A team of Berkeley Lab computer scientists is working with the California Department of Transportation and UC Berkeley to use high performance computing and machine learning to help improve Caltrans’ real-time decision making when traffic incidents occur. Read More »
Neurodata Without Borders Project Wins 2019 R&D100 Award
Led by Berkeley Lab in collaboration with the Allen Institute for Brain Science and multiple neuroscience labs, the NWB:N project has created a data standard and software ecosystem that is transforming neurophysiology research. Read More »
NERSC Powers Research on Post-Wildfire Water Availability
Scientists at Berkeley Lab recently took a closer look at how wildfires affect California’s watersheds. Computer simulations run at NERSC allowed them to identify the regions in the watershed that were most sensitive to wildfire conditions, as well as the hydrologic processes that are most affected. Read More »
David Santiago Helps Guide Berkeley Lab’s Advanced Quantum Testbed to the Next Level
Since joining Lawrence Berkeley National Laboratory’s Advanced Quantum Testbed in March 2019, David Santiago has been like an air traffic controller, steadily guiding each activity associated with the testbed through takeoffs, landings – and the occasional turbulence. Read More »
Berkeley Lab Part of Two Five-Year, Multi-Million Dollar Quantum Computing Projects
With new funding from the U.S. Department of Energy, Berkeley Lab will lead one project - with Bert de Jong of the Computational Research Division as the PI - and co-lead the other. Read More »
SMART Algorithm Makes Beamline Data Collection Smarter
Researchers in Berkeley Lab's CAMERA have been working with beamline scientists at Brookhaven National Laboratory to develop and test SMART, a mathematical method that enables autonomous experimental decision making without human interaction. Read More »