May 15, 2018: NERSC’s Debbie Bard gave a presentation May 10 during Google I/O, Google’s annual developer’s conference, where she talked about how machine learning and deep learning are being used in cosmology to explore the large-scale structure of the universe. Read More »
- Exascale and Beyond Escalating computing power has enabled science problems inconceivable a few years ago. Continuing this growth requires new devices, architecture and algorithms, software and computing facility operations.
- Data-Driven Science The “superfacility” is our vision to help researchers turn the rising tide of experimental and observational data into science by coupling instruments to advanced computing through powerful networks and research expertise.
- Scientific Complexity To answer, and anticipate, increasingly sophisticated science questions, researchers need advanced math models and methods, new algorithms and better ways to use computing and networking.
May 14, 2018: The Planck Team—including researchers in Lawrence Berkeley National Laboratory’s (Berkeley Lab’s) Computational Research and Physics divisions—have been awarded the 2018 Gruber Cosmology Prize. Read More »
May 2, 2018: The Project Jupyter team has been honored with an ACM Software System Award for developing a tool that has had a lasting influence on computing. Project Jupyter evolved from IPython, an effort pioneered by Fernando Pérez, a staff scientist in Berkeley Lab's CRD. Read More »