News
Jackie Yao, Berkeley Lab’s 2019 Alvarez Fellow
Jackie Yao recently joined CRD as Berkeley Lab’s 2019 Luis W. Alvarez Fellow in Computing Sciences. Her research is focused on developing unprecedented numerical modeling to solve complex multiphysics problems involving electromagnetics, nonlinear magnetics, and acoustics. Read More »
Etalumis ‘Reverses’ Simulations to Reveal New Science
A multinational collaboration of researchers using computing resources at NERSC has developed the first probabilistic programming framework capable of controlling existing simulators and running at large-scale on HPC platforms. Read More »
Berkeley Lab Staff Headed to Denver for SC19
Berkeley Lab Computing Sciences staff will share their expertise with the global HPC community at SC19 through tutorials, technical papers, panels, and workshops as part of the conference technical program. Read More »
SC19 Featured Presentation: Supercomputers and the Superfacility Concept
In a featured talk in the DOE booth at SC19, NERSC's Debbie Bard will discuss the Superfacility concept as a solution for the new and growing data needs of experimental science. Read More »
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 »