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Innovative HPC Architectures
Increased resource utilization is one goal of new architectures. At Livermore Computing, these include AI accelerators such as Samba Nova and Cerebras systems and El Capitan's Rabbits.
Autonomous MultiScale
AMS is a machine learning solution embedded into scientific applications to automatically replace fine-scale simulations with ancillary models.
zfp
zfp is an open-source C/C++ library for compressed floating-point and integer arrays that support high throughput read and write random access.
Andrew Gillette
CASC computational mathematician Andrew Gillette has always been drawn to mathematics and says it’s about more than just crunching numbers.
Angeline Lee
Angeline Lee simultaneously serves as a group leader, contributes to programmatic projects, and studies for her bachelor’s degree.
Kevin McLoughlin
Kevin McLoughlin has always been fascinated by the intersection of computing and biology. His LLNL career encompasses award-winning microbial detection technology, a COVID-19 antiviral drug design…
LLNL, Meta co-develop groundbreaking polymer-chemistry dataset for training AI models
In a pioneering partnership to accelerate materials discovery with AI, researchers from LLNL and Meta have created the world’s largest open dataset of atomistic polymer chemistry.
Supercomputer allocations boost HPC-LLM project
An LLNL-led team is using 700,000 node-hours of Department of Energy HPC resources to improve developer productivity.
SIAM PP26 event calendar
Our researchers will be well represented at the SIAM Conference on Parallel Processing for Scientific Computing (PP26) on March 3–6. SIAM is the Society for Industrial and Applied Mathematics with an international community of more than 14,000 individual members.
