News Center
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 »
Industry and CRD Partner to Build Energy Efficiency into Paint Design
Through DOE's HPC4Mfg program, PPG - one of the world's largest paint manufacturers - is collaborating with applied mathematicians in the Computational Research Division on computational models that will help optimize paint design and application to reduce energy consumption. Read More »
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 »
