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ElMerFold
Building on our leadership in HPC and AI and our long open-source tradition, ElMerFold is a high performance framework for large-scale inference and distillation on LLNL supercomputers with OpenFold-…
ETHOS
The Enabling Technologies for High-Order Simulations (ETHOS) project performs research of fundamental mathematical technologies for next-generation high-order simulations algorithms.
GOLLNLP
Responding to a DOE grid optimization challenge, an LLNL-led team developed the mathematical, computational, and software components needed to solve problems of the real-world power grid.
Daniel Nichols
As Computing’s ninth Fernbach Fellow, postdoctoral researcher Daniel Nichols will explore how AI can accelerate HPC and computational science under the mentorship of Harshitha Menon.
Carolyn Albiston
Carolyn Albiston is a research software engineer in NIF Shot Data Systems. Her career is a culmination of her wide range of varied interests and skills.
Brian Gunney
From wind tunnels and cardiovascular electrodes to the futuristic world of exascale computing, Brian Gunney has been finding solutions for unsolvable problems.
S&TR cover story: Supercomputing rises to grand scientific challenges
The latest issue of LLNL's magazine marks the 20th anniversary of the Computing Grand Challenge.
El Capitan revealing hidden worlds in previously unattainable high-fidelity simulations
From capturing the chaotic spray of molten metal to the turbulence of fluid flows, the exascale machine is revealing worlds that were previously beyond reach, and it’s doing so thanks to the close collaboration of hardware, software and science teams that makes LLNL uniquely equipped to lead in this space.
LLNL used AI to predict historic fusion ignition shot
LLNL researchers employed an AI-driven model to predict fusion ignition days ahead of the historic 2022 shot, according to a new study in Science.
