December 12, 2017: Neuroscientists can now explore a beta version of the new Neurodata Without Borders: Neurophysiology (NWB:N 2.0) software and offer input to developers before it is fully released next 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.
December 11, 2017: A new Petascale Data Transfer Node project aims to to achieve regular disk-to-disk, end-to-end transfer rates of one petabyte per week between major supercomputing facilities, which translates to achievable throughput rates of about 15 Gbps on real world science data sets. Read More »
December 7, 2017: When the Department of Energy announced the series of projects under the latest Scientific Discovery through Advanced Computing (SciDAC) program in late 2017, Berkeley Lab scientists, mathematicians and computer scientists were listed as key contributors in two institutes and 10 science application partnerships. Read More »