July 22, 2016: Using state-of-the-art theoretical methods and NERSC supercomputers, researchers from the University of California Santa Barbara have identified a class of point defects that act as sites for nonradiative recombination and can explain the observed reduction in efficiency of nitride-based light emitting diodes. 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.
July 18, 2016: The Department of Energy’s Energy Sciences Network, or ESnet, and the Network Startup Resource Center (NSRC) at the University of Oregon are teaming up to create an extensive video training library to help… Read More »
July 15, 2016: Four Berkeley Lab researchers have been awarded a total of 157 million processor hours through the U.S. Department of Energy’s 2016 ASCR Leadership Computing Challenge (ALCC). Read More »