December 5, 2016: Using a unique computational approach to rapidly sample proteins in their natural state of gyrating, bobbing and weaving, researchers have identified promising drug leads that may selectively combat heart disease. Read More »
- Exascale and Beyond We're rethinking every aspect of scientific computing—hardware, software, algorithms, efficiency and networking—to address limits on processor speed, memory and energy consumption. The goal: more science per Watt.
- Data-Driven Science We develop tools and technologies and provide the critical networking and computer resources that help scientists turn enormous, widely shared, and complex data sets into discoveries.
- Scientific Complexity Engaging scientists in a holistic, team-based approach—from theory, observations and experiments to simulation and data analysis—is a grand challenge and goal of Computing Sciences at Berkeley Lab.
December 1, 2016: When approximately 24,000 attendees convene in San Francisco for the 2016 American Geophysical Union’s Fall Meeting, staff from NERSC and the Computational Research Division will be among them, giving invited talks,… Read More »
November 22, 2016: 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 come up with a plan to overcome the big data challenge. Read More »