LOCAL
This project's techniques reduce bandwidth requirements for large unstructured data by making use of data compression and optimizing the layout of the data for better locality and cache reuse.
TOSS
Researchers are developing a standardized and optimized operating system and software for deployment across Linux clusters to enable HPC at a reduced cost.
STAT
LLNL’s Stack Trace Analysis Tool helps users quickly identify errors in code running on today’s largest machines.
Video: Vendor-agnostic power management
Variorum provides robust, portable interfaces that allow us to measure and optimize computation at the physical level: temperature, cycles, energy, and power. With that foundation, we can get the best possible use of our world-class computing resources.
LLNL and SambaNova Systems announce additional AI hardware to support Lab’s cognitive simulation efforts
The addition of the spatial data flow accelerator into LLNL’s Livermore Computing Center is part of an effort to upgrade the Lab’s cognitive simulation (CogSim) program.
National lab uses Elastic to optimize performance of projected world's fastest supercomputer
The Lab was already using Elastic components to gather data from its HPC clusters, then investigated whether Elasticsearch and Kibana could be applied to all scanning and logging activities across the board.