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CRD Staff Share Applied Math Expertise at ICIAM 2019
A number of staff from Berkeley Lab’s Computational Research Division are presenting talks and posters at the International Congress on Industrial and Applied Mathematics in Valencia, Spain, July 15-19, 2019. Read More »
Berkeley Lab Researchers Win Best Paper Award at ICCS
Five Berkeley Lab researchers were recently honored with a Best Paper Award at the International Conference on Computational Science, held in Faro, Portugal, June 12-14. Read More »
CRD's Shalf Ponders the Future of HPC Architectures in ISC19 Keynote
As he prepared to head to ISC19 to give a keynote address on the topic, CRD's John Shalf shared his thoughts on what the future holds for computing technologies and architectures in the era beyond exascale. Read More »
CAMERA Hosts 2019 Ptycho Developers Workshop
Ptycho-tomography and spectro-ptychography are the most computationally intensive techniques being developed at the Advanced Light Source and light sources around the world. Read More »
ExaStar Takes Astrophysical Research to the Exascale
Within the next few years, exascale computing will take computationally intensive astrophysics research to the next level. However, to harness the power of exascale, researchers will need new code developed specifically for exascale computing. The ExaStar project has researchers from multiple DOE national labs collaborating to develop new exascale-level code. Read More »
To Pump or Not to Pump?
A team of computer and environmental scientists are developing a computational tool that will allow groundwater managers to plan and manage their precious water resources more sustainably, leading to improved resistance to droughts. Read More »
National Academies Taps Cholia for Scientific Workflows Committee
Shreyas Cholia has been invited by the National Academies of Sciences, Engineering, and Medicine to serve as a member for the Realizing Opportunities for Advanced and Automated Workflows in Scientific Research committee. Read More »
CosmoGAN: Training a Neural Network to Study Dark Matter
A Berkeley Lab-led research group is using a deep learning method known as generative adversarial networks to enhance the use of gravitational lensing in the study of dark matter. Read More »
Computational Research Division Hosts UC Merced Grad Students
On May 1, a group of students from UC Merced, all participants in the National Science Foundation’s Interdisciplinary Computational Graduate Education program, visited Berkeley Lab to learn about the many ways computing can be applied to research problems. Read More »
Envisioning the Future of Machine Learning and Data Analytics
Early to mid-career national lab mathematicians met at Berkeley Lab to discuss challenges in machine learning and data analytics and to seed new collaborations. Read More »
