News
Berkeley Lab to Build an Advanced Quantum Computing Testbed
The U.S. Department of Energy announced that Berkeley Lab will receive $30 million over five years to build and operate an Advanced Quantum Testbed (AQT). Researchers will use the testbed to explore superconducting quantum processors and evaluate how these emerging quantum devices can be utilized to advance scientific research. Read More »
Berkeley Lab to Push Quantum Information Frontiers With New Programs in Computing, Physics, Materials, and Chemistry
A series of DOE Office of Science awards, announced today, will enable Berkeley Lab to accelerate the development of quantum computing. Berkeley Lab Computing Sciences staff will play leading roles in three of the awards. Read More »
At Biden Summit, CRD's Ushizima Discusses Using Machine Learning to Improve Cancer Detection
Dani Ushizima, a staff scientist in the Computational Research Division who has adapted algorithms used in materials research to scan for cervical cancer, described her research in a panel discussion at the Sept. 21 East Bay Biden Cancer Community Summit. Read More »
Berkeley Lab Researchers Co-Author IARIA’s Best Paper
A paper co-authored by Berkeley Lab’s Esmond Ng and Chao Yang won best paper at this year’s International Academy, Research, and Industry Association’s (IARIA’s) Computation Tools 2018 conference in Barcelona, Spain. The paper, Deep Learning: A Tool for Computational Nuclear Physics, describes how feed-forward artificial neural networks can be used to predict the properties of atomic nuclei. “Nuclei are complicated quantum many-body systems, and their inter-nucleon interactions are… Read More »
NERSC-led Team Named 2018 Gordon Bell Prize Finalist for Deep Learning Achievement
A team from Berkeley Lab, Oak Ridge National Laboratory and NVIDIA has, for the first time, demonstrated an exascale-class deep learning application that has broken the exaop barrier. Read More »
NERSC Recognized by NASA for Contributions to Planck Mission
A pioneering agreement between the DOE and NASA guaranteed that NERSC would provide the HPC support essential to the Planck mission's success. And for that support, NERSC was recently recognized with a NASA Group Achievement Award. Read More »
NERSC, Intel, Cray Harness the Power of Deep Learning to Better Understand the Universe
A Big Data Center collaboration between computational scientists at NERSC and engineers at Intel and Cray has yielded another first in the quest to apply deep learning to data-intensive science: CosmoFlow, the first large-scale science application to use the TensorFlow framework on a CPU-based high performance computing platform with synchronous training. Read More »
Old School + New School: Geometry, Physics & Machine Learning Take on Climate Research Data Challenges
Two PhD students who first came to Berkeley Lab as summer interns in 2016 are spending six months a year at the lab through 2020 developing new data analytics tools that could dramatically impact climate research and other large-scale science data projects. Read More »
Berkeley Lab, BIDS Take on Big Data
The BIDS ecosystem comprises an impressive network of Fellows, including some who are Berkeley Lab scientists. This month, several Berkeley Lab-BIDS Fellows are organizing two of events to share their data-science expertise: Machine Learning for Science (ML4Sci) Workshop and the California Water Data Hackathon. Read More »
Exascale Computing Project Spotlights ExaGraph and STRUMPACK/SuperLU Collaboration
Results from a collaboration between the Exascale Computing Project's Sparse Solvers Software Technology project and ExaGraph Co-Design Center showed that the parallel AWPM (approximate-weight perfect matching) code can run up to 2,500x faster than the sequential algorithm on 256 nodes of NERSC's Cori supercomputer. Read More »