Groundbreaking accomplishments and national awards
LLNL Computation executives receive an award at SC18

Media Inquiries

If you have a general media-related question or comment or if you would like to arrange an interview, contact Jeremy Thomas, press officer, at (925) 422-5539 or via email.
News & Press

We make the news and break the records

LLNL Computing’s groundbreaking research and development activities, innovative technologies, and world-class staff are often featured in various media outlets. For more information on computing at LLNL, please explore the resources below.

 

Press

Screenshots of Brian and Ian being interviewed

AI Acceleration: A Next Platform TV Interview with Ian Karlin and Brian VanEssen

Friday, July 31, 2020
Ian Karlin on AI hardware integration into HPC systems, workflows, followed by a talk about software integration of AI accelerators in HPC with Brian Van Essen
diagram of a new “Mix-n-Match” method for calibrating uncertainty of deep learning models

LLNL Papers Accepted into Prestigious Conference

Thursday, July 9, 2020
Two papers featuring LLNL scientists were accepted in the 2020 International Conference on Machine Learning (ICML), one of the world’s premier conferences of its kind.
CEED logo overlaid on a simulation and computer hardware

CEED's Annual Meeting Will Be Virtual

Wednesday, July 8, 2020
As part of the Exascale Computing Project, the Center for Efficient Exascale Discretizations (CEED) will hold its 4th annual meeting on August 11-12 using Zoom and Slack.
model of a molecule next to a screen shot of webex meeting participants in video chat

Lockdown Doesn’t Hinder Annual Data Science Challenge

Friday, June 26, 2020
In this year's Data Science Challenge with UC Merced, 21 students developed machine learning models capable of differentiating potentially explosive materials from other types of molecules.
screen shot of finite element method animation from the video

Video: MFEM - Advanced Simulation Algorithms for HPC Applications

Friday, June 26, 2020
This video describes MFEM (Modular Finite Element Methods), an open-source software library that provides advanced mathematical algorithms for use by scientific applications.
drawing of a reactor tube

Manufacturing, Energy Initiative to Fund 11 New Projects

Wednesday, June 24, 2020
In the HPC4EI project, LLNL and OxEon Energy will reduce the number of reactor tubes used to convert natural gas to liquid fuel, to lower cost and increase performance of synthetic fuel production.
drawing of the Exascale Computing Facility

Lab Breaks Ground for Exascale Facility Upgrades

Monday, June 22, 2020
Scheduled for completion in 2022, the project will expand the Livermore Computing Center's power and cooling capacity in preparation for exascale supercomputing hardware.
Sierra supercomputer and National Ignition Facility photos combined with abstract graphic representing experimental data and simulations

Deep Learning-Based Surrogate Models Outperform Simulators and Could Hasten Scientific Discoveries

Wednesday, June 17, 2020
Surrogate models supported by neural networks could lead to new insights in complicated physics problems such as inertial confinement fusion.
two people conduct RFI scanning in a supply cabinet

Computing’s Partnership with Environmental Programs at the Lab Adds Up to Environmental Stewardship

Tuesday, June 16, 2020
Computing employees play a critical role in supporting the Environmental Restoration Department; Environment, Safety, and Health; and Radioactive and Hazardous Waste Management.
Shut Down STEM logo with cartoon fists and text overlay

#ShutdownSTEM an opportunity to reflect on ending racism

Wednesday, June 10, 2020
Many scientists and engineers will participate in #ShutDownSTEM to better support black colleagues. The Lab appreciates the need to better understand the issues and drive toward purposeful action.

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