November 24, 2014: The process of identifying and tracking Type Ia supernovae requires scientists to scrupulously monitor the night sky for slight changes, a task that would be extremely tedious and time-consuming for the Dark Energy Survey (DES) without some novel computational tools developed at NERSC by researchers at Berkeley Lab and UC Berkeley. Read More »
- Extreme Data 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.
- Energy Efficient Computing More science per Watt. That's the guiding principle as we rearchitect every aspect of scientific computing—from hardware and software, to algorithms, networking and data center operations.
- Science Engagement 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.
November 19, 2014: NERSC was awarded HPCWire’s 2014 Editors’ Choice Award for Best HPC Collaboration Between Government & Industry for its partnership with Intel and Cray in preparation for Cori, the Cray XC supercomputer slated to be deployed at NERSC in 2016. Read More »
November 12, 2014: Not long ago, it would have taken several years to run a high-resolution simulation on a global climate model. But using supercomputing resources at NERSC, climate scientist Michael Wehner of Berkeley Lab's Computational Research Division was able to complete a run in just three months. Read More »