News
Berkeley Lab, Oak Ridge, NVIDIA Team Breaks Exaop Barrier With Deep Learning Application
A team of computational scientists from Berkeley Lab and Oak Ridge National Laboratory and engineers from NVIDIA has, for the first time, demonstrated an exascale-class deep learning application that has broken the exaop barrier. Read More »
Berkeley Lab Contributes to $2.5M supplemental grant for NSF-funded Cybersecurity Center of Excellence
NSF has awarded Trusted CI, the NSF Cybersecurity Center of Excellence (CCoE) a $2.5 million supplemental grant to extend the CCoE through 2019 and expand its activities. And Berkeley Lab is joining the collaboration to support the CCoE’s expanded activities. Read More »
CS’ Newest Alvarez Fellows Gets Nice Reception from Her Peers
Tess Smidt, who joined Computing Sciences in July as the 2018 Luis W. Alvarez Fellow in Computing Sciences, was officially welcomed this week at a reception that included four past fellows and members of the selection committee. Also attending were Berkeley Lab Director Mike Witherell and Computational Research Division Director (and host) David Brown. Read More »
HP-CONCORD Paves the Way for Scalable Machine Learning in HPC
A team of Berkeley Lab researchers has demonstrated how a new parallel algorithm called HP-CONCORD can help address some of the most challenging problems in data-driven science. Read More »
AMReX Co-Design Center Helps 5 Application Projects Reach Performance Goals
The AMReX Co-Design Center makes available a state-of-the-art AMR infrastructure with the functionality that five ECP application projects and other AMR applications use to be able to effectively take advantage of current and future architectures. Read More »
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 »