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PROJECTS
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UMap

UMap uniquely exploits the prominent role of complex memories in today’s servers and offers new capabilities to directly access large memory-mapped datasets.

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Quandary

Quandary is an open-source C++ package for optimal control of quantum systems on classical high performance computing platforms.

Radiation-driven Kelvin–Helmholtz instability experiment

MAPP

The MAPP incorporates multiple software packages into one integrated code so that multiphysics simulation codes can perform at scale on present and future supercomputers.

NEWS
LLNL will develop quantum and machine learning-accelerated software tools and apply them to discovering ultra-strong, lightweight magnets that are crucial for electronic motors, generators and high performance information technology.

LLNL to harness quantum computing for next-generation magnets

The Quantum Computing for Computational Chemistry (QC3) program seeks to develop and apply quantum algorithms to accelerate simulations of chemistry and materials science to advance commercial energy applications.

Looking down the row between cabinets at cables and other interior parts of El Capitan

Livermore Computing: accelerating excellence in high performance computing

To learn more about the work taking place at Livermore Computing and the potential this has for a wide range of real-world applications, The Innovation Platform spoke to LLNL’s Deputy for High Performance Computing, Judy Hill.

two people examine copper-plated cavity tech

Finding resonance: How LLNL expertise is amplifying collaboration in quantum computing

A DOE investment unites experts from national labs, universities, and industry to advance the next generation of quantum computing, communication, and sensing technologies. LLNL brings a deep expertise in materials and microwave cavities to the table.