September 27, 2016: Approximately 450 carbon flux sites worldwide are sharing their observation data with the FLUXNET database. The project’s most recent data release—FLUXNET2015—includes some of the longest continuous records of ecosystem data ever taken. 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.
September 26, 2016: A unique collaboration between computers scientists and mathematicians from Berkeley Lab's Computing Sciences group and Ciena, a major U.S. telecommunications equipment provider, has helped dramatically improve design cycle times for Ciena's high-speed optical networking components. Read More »
September 12, 2016: Twelve members of the UK’s Scientific Technology Facilities Council visited Berkeley Lab to discuss approaches for managing and analyzing the deluge of data being produced by current and next-generation synchrotron light sources. Read More »