July 21, 2015: This year, Berkeley Lab’s CRD is hosting six fellows from the Department of Energy’s CSGF program.These fellows represent some of the nation’s brightest graduate students in computational science. Each student is pursing a doctoral degree in a field that uses supercomputing to solve complex science and engineering problems. Read More »
- Extreme Data 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.
- Energy Efficient Computing More science per Watt. That's the guiding principle as we rearchitect every aspect of scientific computing—from hardware and software, to algorithms, networking and data center operations.
- Science Engagement 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 15, 2015: Berkeley Lab researchers are combining mathematical theory and scalable algorithms with computational resources at NERSC to address growing data-management challenges in climate research, high-energy physics and the life sciences. Read More »
July 7, 2015: Three foundations pledged $6M over the next three years to Project Jupyter, an open-source software project that supports scientific computing and data science across a wide range of programming languages via a large, public, open and inclusive community. Fernando Perez will lead the effort at UC Berkeley and Berkeley Lab. Read More »