Around the world, various 'Brain Initiatives' are generating a tsunami of neuroscience data. But without a coherent strategy to analyze, manage and understand the data, advancements in the field will be limited. That's why Berkeley Lab's Kristofer Bouchard assembled an international team of interdisciplinary researchers to develop a plan to overcome the big data challenge. » Read More
Berkeley Lab will lead one of four co-design centers under the Department of Energy’s Exascale Computing Project (ECP). The Block-Structured Adaptive Mesh Refinement Co-Design Center will be led by John Bell of the lab’s Computational Research Division, with support from Argonne National Laboratory and the National Renewable Energy Laboratory. » Read More
The CCSI Toolset—a suite of computational tools and models designed to accelerate the development of cost-effective carbon capture technology—has been awarded a 2016 R&D100 Award. The Toolset was developed by a collaboration led by the National Energy Technology Laboratory (NETL), and included multiple Department of Energy National Laboratories, including Berkeley Lab. » Read More
Julian Borrill, leader of the Computational Cosmology Center at Lawrence Berkeley National Laboratory, has been awarded the NASA Exceptional Public Achievement Medal for "conceiving and implementing the mission-critical high performance computing system for Planck data analysis." » Read More
A new tool developed at Berkeley Lab allows researchers to interactively explore the hierarchical processes that happen in the brain when it is resting or performing tasks. Scientists also hope that the tool can shed some light on how neurological diseases like Alzheimer’s spread throughout the brain. » Read More
A paper published December 15 during the American Geophysical Union (AGU) fall meeting in San Francisco points to new evidence of human influence on extreme weather events.
When the latest version of the Graph 500 list was released Nov. 16 at the SC16 conference, there were two new entries in the top 10, both contributed by Khaled Ibrahim of Berkeley Lab’s Computational Research Division.
CAMERA—the Center for Advanced Mathematics for Energy Research Applications at Lawrence Berkeley National Laboratory—recently hosted a workshop to highlight the state-of-the-art in tomographic reconstruction algorithms and software for synchrotrons.
Around the world, various 'Brain Initiatives' are generating a tsunami of neuroscience data. But without a coherent strategy to analyze, manage and understand the data, advancements in the field will be limited. That's why Berkeley Lab's Kristofer Bouchard assembled an international team of interdisciplinary researchers to develop a plan to overcome the big data challenge.
