September 26, 2017: Two Berkeley Lab teams will receive DOE funding to develop near-term quantum computing platforms and tools to be used for scientific discovery in the chemical sciences. One team will develop novel algorithms, compiling techniques and scheduling tools, while the other team will design prototype four- and eight-qubit processors to compute these new algorithms. 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.
September 25, 2017: Scalability of scientific applications is a major focus of the Department of Energy’s Exascale Computing Project (ECP) and in that vein, a project known as IDEAS-ECP, or Interoperable Design of Extreme-scale… Read More »
September 25, 2017: NERSC announced the recipients of the 2017 High Performance Computing Achievement Awards September 21 during the annual NERSC Users Group meeting at Berkeley Lab. Read More »