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
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
Researchers from a number of DOE national labs, including Berkeley Lab, are collaborating to develop new exascale-level code to take astrophysical research to the next level. » Read More
Held at Berkeley Lab June 3-5, the event attracted 60 participants from broad communities of algorithm developers, software engineers, and beamline scientists to advance ptychographic x-ray imaging techniques. » Read More
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
Dan Martin and colleagues studied the impact of the melting Antarctic icesheet on sea-level rise by running high-resolution, thousand year-long BISICLES ice sheet models. » Read More
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.
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.
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.
Ptycho-tomography and spectro-ptychography are the most computationally intensive techniques being developed at the Advanced Light Source and light sources around the world.
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.
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.
The Applied Mathematics Department develops advanced mathematical models and efficient computational algorithms for solving scientific and engineering problems of interest to the Department of Energy, including in particular those related to energy and environment.
The Computer Science Department performs research on Computer Architectures, Computer Languages, Systems Software, Performance, and Algorithms.
The mission of the Computational Science Department is to perform innovative research that enhances high-performance computational science application codes used in scientific discovery across a broad range of scientific disciplines.
The mission of the Computational Science Department is to perform innovative research that enhances high-performance computational science application codes used in scientific discovery across a broad range of scientific disciplines.
