May 19, 2017: A new mathematical “shortcut” developed by Berkeley Lab researchers is speeding up molecular absorption calculations by a factor of five, so simulations that used to take 10 to 15 hours to compute can now be done in approximately 2.5 hours. These algorithms will be incorporated in an upcoming release of the widely used NWChem computational chemistry software suite later this year. 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.
May 15, 2017: Simulations run at NERSC as part of a unique collaboration comprising Berkeley Lab, Lawrence Livermore National Laboratory and an industry consortium could help U.S. paper manufacturers significantly reduce production costs and increase energy efficiencies. Read More »
May 1, 2017: A software toolkit developed in Berkeley Lab's Computational Research Division to better understand supercomputer performance is now being used to boost application performance for researchers running codes at NERSC and other supercomputing facilities. Read More »