January 10, 2017: For members of the established research and education (R&E) networking community, attending conferences or sitting in on workshop sessions is the normal way to learn about the latest equipment, architecture, tools… 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.
January 6, 2017: For centuries diamonds have been revered for their strength, beauty, value and utility. Now a team of researchers from Argonne National Laboratory, running molecular dynamics calculations at the Argonne Leadership Computing Facility and Berkeley Lab's National Energy Research Scientific Computing Center, are finding additional reasons to celebrate this complex material—and it has nothing to do with color, cut or clarity. Read More »
December 15, 2016: A paper published December 15 during the American Geophysical Union (AGU) fall meeting in San Francisco points to new evidence of human influence on extreme weather events. Read More »