October 31, 2014: In this era of “big data,” high performance parallel I/O is extremely important. Yet, the last book to summarize best practices in this area was written more than 10 years ago. To fill the void, Berkeley Lab'sPrabhat and HDF Group's Quincey Koziol brought together leading practitioners, researchers, software architects, developers and scientists to contribute their insights for a new book called “High Performance Parallel I/O.” 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.
October 21, 2014: Women from Berkeley Lab's Computing Sciences area delivered talks, volunteered as mentors and helped organize and energize this year's Grace Hopper Celebration of Women in Computing, an annual conference billed as the "world's largest gathering of women technologists." Read More »
October 20, 2014: The Department of Energy’s (DOE’s) Energy Sciences Network is deploying four new high-speed transatlantic links, giving researchers at America’s national laboratories and universities ultra-fast access to scientific data from the Large Hadron Collider (LHC) and other research sites in Europe. Read More »