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FerroX, a new open-source, 3D simulation framework, could advance record-breaking energy efficiency in microelectronics.
With the rise of chiplets, AMCR’s John Shalf identified an opportunity for Berkeley Lab to collaborate with hyperscalers through the Open Compute Project to leverage industry trends for HPC.
A leading expert in quantum computing, Bert de Jong discusses why quantum computing matters, where it is today, and the potential of this emerging technology to change science.
A new paper describes how an innovative ML approach can enhance the prognosis and understanding of traumatic brain injury.
Can the open-ended Category 5 communicate the risk of hurricane damage in a warming climate?
Last month, over 100 academics, researchers, industry experts, and national lab staff gathered at Berkeley Lab’s Artificial Intelligence Science Summit (BLASS) to explore AI’s potential to drive scientific discovery.
With the rise of chiplets, AMCR’s John Shalf identified an opportunity for Berkeley Lab to collaborate with hyperscalers—like Amazon, Google, Microsoft, and others—through the Open Compute Project to leverage industry trends for HPC.
In 2024, mathematician John Bell will retire and transition into a new role as a Berkeley Lab affiliate.
Berkeley Lab will serve as the central steward of Trusted CI, the NSF Cybersecurity Center of Excellence.
As Berkeley Lab's newest Hopper Postdoctoral Fellow, Yotam Yaniv will focus on developing randomized numerical linear algebra methods. His work aims to create faster, more efficient, and sustainable algorithms that can significantly reduce computational energy consumption, particularly at scale.
SciData transforms data-driven discovery and understanding through the development and application of novel data science methods, technologies, and infrastructures with scientific partners.
The Applied Mathematics & Computational Research Division conducts research and development in mathematical modeling and simulation, algorithm design, data storage, management and analysis, computer system architecture, and high-performance software implementation.
The Center for Advanced Mathematics for Energy Research Applications (CAMERA) is an integrated, cross-disciplinary center aimed at inventing, developing, and delivering the fundamental new mathematics required to capitalize on experimental investigations at scientific facilities.
The Quantum Systems Accelerator is catalyzing national leadership in quantum information science to co-design the algorithms, quantum devices, and engineering solutions needed to deliver certified quantum advantage in Department of Energy scientific applications. Berkeley Lab leads the center. Sandia National Laboratories is the lead partner.
