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Connect with Berkeley Lab Experts at SC25!

Logo for SC25, the 2025 International Conference for High Performance Computing, Networking, Storage, and Analysis. The logo features abstract purple and blue flame shapes to the left of bold black text reading "SC25." Below this, smaller text reads "St. Louis, MO" and "hpc ignites." with "hpc ignites." in light blue.

Berkeley Lab’s John Shalf Recognized with 2025 Seymour Cray Award for Outstanding Contributions to HPC

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The Quantum Systems Accelerator Embarks on Next Five Years of Pioneering Quantum Technologies for Science

Several individuals wearing gloves working around a large, cylindrical metallic quantum computing dilution refrigerator with numerous bright blue cables and illuminated hardware in a high-tech lab environment.

New Berkeley Lab and NVIDIA Partnership Integrates Quantum and AI Supercomputing for Next-Generation Research

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Expert Insights: Michael Mahoney

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Hopper Fellow Applies Innovation, Collaboration to Foundation Models

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Software Highlight: Fiats Brings Deep Learning to Fortran at Supercomputer Scale

An ASCII art representation of the word 'FIATS' created using various keyboard characters, with the text 'Fiats: Functional Inference and Training for Surrogates' displayed below. The design emphasizes a playful and creative approach to presenting the name of the software framework focused on functional inference and training.

Software Highlight: Julienne and Assert Strengthen Fortran Code Reliability

Software Highlight: Caffeine Supercharges Fortran for the Exascale Era

A graphic representation of a coffee cup with layered components illustrating a software architecture. The layers from top to bottom include: 'Compiled Application,' 'PRIF,' 'Caffeine,' and 'GASNet-EX.' The base of the cup is labeled 'System Runtime & Memory Technologies,' indicating the foundational technologies that support the application.

Berkeley Researchers Receive IEEE Best Paper Award for Exascale Software Insights

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New ESnet Report Looks at AI-Powered Future for Scientific Networking

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ASU and Berkeley Lab tools make AI safer for science

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