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Five Computing Sciences Area staff will accept Director’s Awards for Exceptional Achievement in areas ranging from service to scientific achievement at a ceremony to be held November 10. The CS Area award recipients are David Brown, Marcus Noack, Talita Perciano, Silvia Crivelli, and Michael Wehner.
Over the past seven years, the Berkeley Lab-led Exabiome project developed novel software tools that allow researchers to harness the power of cutting-edge high performance computers (and now exascale supercomputers) to solve previously infeasible problems in metagenomics.
Full-scale, biophysically accurate simulations run at NERSC used machine learning and observational data to show which neurons generate the recorded signals.
A new project aims to support research related to wildland fires with a searchable collaborative data repository featuring advanced search capabilities and uniform standards
Berkeley Lab's Advanced Quantum Testbed team demonstrates a three-qubit native quantum gate with high fidelity
A team of researchers from Berkeley Lab and UC Irvine has developed deep-learning algorithms designed to automate the quality control and assessment of new battery designs for electric cars.
The latest developments in computational oncology are giving medical researchers a glimpse into a future where they’ll be able to understand tumor progression via supercomputers and advanced mathematical algorithms.
Graduate student Peter Craig spent much of 2022 working with researchers in the Berkeley Lab Applied Mathematics and Computational Research division scouring through a new, massive astrophysics dataset looking for previously unidentified binary black holes.
A Berkeley Lab research team and international collaborators were awarded the prestigious ACM Gordon Bell Prize on November 17 during SC22.
Stefan Wild has been selected to serve as the next director for Berkeley Lab's Applied Mathematics and Computational Research (AMCR) Division in the Computing Sciences Area (CSA).
Berkeley Lab scientists were honored with a Best Paper Award by the IEEE Large Scale Data Analysis and Visualization (LDAV) symposium. Their paper, Distributed Hierarchical Contour Trees, discusses their development of a powerful tool for data analysis.
Helen Xu begins her role as Berkeley Lab’s new Grace Hopper Fellow. Established in 2015, this prestigious fellowship aims to develop young computer and computational scientists to make outstanding contributions to HPC applications.
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.
