April 24, 2017: The world is awash in images. Current estimates are that there were 2.1 billion smart phone users in mid-2016, up by half a billion since mid-2014, and they are generating a tremendous number of photos. In a perfect… 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.
April 20, 2017: Using an automated supernova-hunting pipeline based at NERSC, astronomers have captured multiple images of a gravitationally lensed Type Ia supernova. This detection is currently the only one of its kind, but astronomers believe that if they can find more, they may be able to measure the rate of the universe’s expansion within four percent accuracy. Fortunately, two Berkeley Lab researchers have a method for identifying more of these events using existing wide-field surveys. Read More »
April 12, 2017: The American Academy of Arts and Sciences announced today the election of 228 members, including Berkeley Lab's Associate Director of Computing Sciences Kathy Yelick. Read More »