AMS is a machine learning solution embedded into scientific applications to automatically replace fine-scale simulations with ancillary models.
Topic: Software Engineering
Release the codes! With a dynamic developer community and a long history of encouraging open-source software, LLNL has reached quadruple-digit GitHub offerings.
Learn how to use a modern, open-source HPC software stack! Throughout August, join our tutorials on how to install and use several projects on AWS EC2 instances. No previous experience is necessary, and everyone is welcome.
The advent of accelerated processing units presents new challenges and opportunities for teams responsible for network interconnects and math libraries.
MuyGPs helps complete and forecast the brightness data of objects viewed by Earth-based telescopes.
NIF Computing deploys regular updates to its computer control systems to ensure NIF continues to achieve ignition.
Quandary is an open-source C++ package for optimal control of quantum systems on classical high performance computing platforms.
The Center for Efficient Exascale Discretizations has developed innovative mathematical algorithms for the DOE’s next generation of supercomputers.
This season’s hackathon featured Lab improvement projects, work tasks, and personal enrichment.
The Lab’s workhorse visualization tool provides expanded color map features, including for visually impaired users.
Learn how to use LLNL software in the cloud. Throughout August, join our tutorials on how to install and use several projects on AWS EC2 instances. No previous experience necessary.
2023’s Developer Day was a two-day event for the first time, balancing an all-virtual technical program with a fully in-person networking day.
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.
Computer scientist Vanessa Sochat talks to BSSw about a recent effort to survey software developer needs at LLNL.
Ferrari leads a group of developers and quality assurance personnel who support software that runs 24/7/365.
LLNL is recognized as a public sector organization leading the way in innovative, sustainable, and critical use cases.
LLNL security operations team lead Ian Lee recently gave a webinar describing how the Lab uses Elasticsearch for HPC. The 19:27 video is available on demand.
Computer scientist Johannes Doerfert was recognized as a 2023 BSSw fellow. He plans to use the funding to create videos about best practices for interacting with compilers.
Software developer Lauren Morita is improving an application for tracking and managing radioactive hazardous waste. In the APAC networking group, she also helps enhance employees’ work experience.
The second article in a series about the Lab's stockpile stewardship mission highlights computational models, parallel architectures, and data science techniques.
The latest generation of Livermore’s workhorse laser physics code promises full integration across research and operations applications.
After 10 years and 33 hackathons, nothing can stop this beloved tradition.
LLNL participates in the CMD-IT/ACM Richard Tapia Celebration of Diversity in Computing Conference (Tapia2022) on September 7–10.
Computing’s annual Developer Day held a hybrid event on July 21 with lightning talks, a town hall discussion, and guest speakers.
A Sandia National Laboratories team has adapted Livermore’s software.llnl.gov website to showcase their own open-source software. Both projects are developed and hosted on GitHub.