News Center
Longtime Lab and Pioneering Data Scientist Frank Olken has Died
Frank Olken, a data scientist who spent 36 years at Berkeley Lab tackling the challenge of big data before it became Big Data, died Oct. 18 at age 67. He also worked two stints as a National Science Foundation (NSF) program director in Arlington, Va. Read More »
Jackie Yao, Berkeley Lab’s 2019 Alvarez Fellow
Jackie Yao recently joined CRD as Berkeley Lab’s 2019 Luis W. Alvarez Fellow in Computing Sciences. Her research is focused on developing unprecedented numerical modeling to solve complex multiphysics problems involving electromagnetics, nonlinear magnetics, and acoustics. Read More »
NWB:N Gains Traction in the Neuroscience Community
Berkeley Lab developed Neurodata Without Borders: Neurophysiology, a data standard for neurophysiology research and a software ecosystem that allows neuroscientists to share, archive, use, and build tools for analyzing data, is gaining traction in the neuroscience community. Read More »
Machine Learning Algorithms Help Predict Traffic Headaches
A team of Berkeley Lab computer scientists is working with the California Department of Transportation and UC Berkeley to use high performance computing and machine learning to help improve Caltrans’ real-time decision making when traffic incidents occur. Read More »
Neurodata Without Borders Project Wins 2019 R&D100 Award
Led by Berkeley Lab in collaboration with the Allen Institute for Brain Science and multiple neuroscience labs, the NWB:N project has created a data standard and software ecosystem that is transforming neurophysiology research. Read More »
CRD’s Zhe Bai Selected as a WHPC 2019 Fellow
Zhe Bai, a postdoctoral scholar in the Computational Research Division, has been selected by the Women in HPC organization as a 2019 Fellow. Read More »
Berkeley Lab Part of Two Five-Year, Multi-Million Dollar Quantum Computing Projects
With new funding from the U.S. Department of Energy, Berkeley Lab will lead one project - with CRD's Bert de Jong as the PI - and co-lead the other. Read More »
SMART Algorithm Makes Beamline Data Collection Smarter
CAMERA researchers have been working with beamline scientists at Brookhaven National Laboratory to develop and test SMART, a mathematical method that enables autonomous experimental decision making without human interaction. Read More »
CRD Staff Get Funding for Post-Moore’s Law Computing Research
George Michelogiannakis and Dilip Vasudevan, research scientists in the Computational Research Division, have been awarded funding from the Army Research Office for two post-Moore’s law computing research projects. Read More »
CRD Researchers Nominated for Best Paper at ICPP2019
CRD’s Mauro Del Ben, Osni Marques, and Andrew Canning are developing new Eigensolver algorithms based on an iterative approach using an unconstrained energy functional scheme to improve scaling on parallel computing architectures. Read More »
