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

Computation’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

a speaker gestures at a presentation projected onto a big screen

Second Annual Developer Day Continues to Build on Success

Thursday, September 20, 2018
The all-day event featured discussion panels, lightning talks, and deep dives intended to bring the LLNL developer community together.
article title overlaid on an abstract background

Interweaving Timelines for Faster Solutions

Wednesday, September 19, 2018
LLNL's magazine highlights XBraid, homegrown open-source software that reduces the time to solution for HPC applications and simulations.
photo of the U.S. capitol dome

Congressional App Challenge Comes to Livermore

Wednesday, September 19, 2018
Regional high school students will build software applications for U.S. Rep. Eric Swalwell’s (CA-15) annual Congressional App Challenge. The competition will be held at LLNL on September 29.
three developers in front of a supercomputer with the Spack logo

Spack, a Lab-Developed 'App Store for Supercomputers,' Becoming Standard-Bearer

Tuesday, September 18, 2018
Spack, LLNL's open-source package manager, is making waves throughout the HPC community, including internationally, as evidenced by a recent tour of European HPC facilities by the tool’s developers.
graphic of a laser melting a metal substance

Using Machine Learning to Prevent Defects in Metal 3D-Printed Parts in Real Time

Thursday, September 13, 2018
LLNL researchers have developed machine learning algorithms capable of processing data obtained during metal 3D printing and quickly detecting whether a 3D part will be of satisfactory quality.
banner showing three headshots

Laboratory Researchers Recognized for Accomplishments in Early and Mid-Career

Thursday, September 6, 2018
Three Computation scientists have been named to LLNL's fourth annual Early and Mid-Career Recognition Program.
ZFS on Linux penguin logo next to a person in a spotlight

OSS Spotlight: Lawrence Livermore National Laboratory and ZFS on Linux

Tuesday, September 4, 2018
This spotlight article on Medium explains the history of LLNL's ZFS of Linux open-source project, which is now indexed by Code.gov.
Yong Han presents his project amid a large crowd

Data Science Workshop Embraces Multidisciplinary Community

Wednesday, August 29, 2018
More than 200 participants gathered for the first workshop co-hosted by LLNL's Data Science Institute and the University of California.
CASC logo over a monotone image of the Sierra supercomputer

Center for Applied Scientific Computing (CASC) Newsletter, Volume 6

Wednesday, August 22, 2018
Highlights include CASC director Jeff Hittinger's vision for the center as well as recent work with PruneJuice DataRaceBench, Caliper, and SUNDIALS.
Barry Chen standing in front of Sierra

Researchers Developing Deep Learning System to Advance Nuclear Nonproliferation Analysis

Tuesday, August 21, 2018
LLNL computer scientist Barry Chen is heading a project to develop deep learning and HPC algorithms that can sift through massive amounts of data for evidence of nuclear proliferation activities.

Pages