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 »
- 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 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 »
September 8, 2016: The U.S. Department of Energy's High Performance Computing for Manufacturing program, designed to spur the use of national lab supercomputing resources and expertise to advance innovation in energy-efficient manufacturing, is seeking a new round of proposals from industry to compete for $3 million. Read More »