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Explainable artificial intelligence can enhance scientific workflows
Machine learning techniques are increasingly being used in the sciences, as they can streamline work and improve efficiency. But these techniques are sometimes met with hesitation: When users don’t understand what’s going on behind the curtains, they may lack trust in the machine learning models. As these tools become more widespread, a team of researchers in Lawrence…
DOE announces additional funding for HPC4Energy Innovation projects
The Department of Energy (DOE) today announced $3.9 million for 13 public-private partnerships that will apply high performance computing (HPC) to manufacturing processes and advanced materials, including a Lawrence Livermore National Laboratory (LLNL) collaboration to decarbonize asphalt production. The awards, representing DOE’s fall 2022 round of funding for the High…
High-performance computing, AI and cognitive simulation helped LLNL conquer fusion ignition
Part 10 a series of articles describing the elements of Lawrence Livermore National Laboratory’s fusion breakthrough. For hundreds of Lawrence Livermore National Laboratory (LLNL) scientists on the design, experimental, and modeling and simulation teams behind inertial confinement fusion (ICF) experiments at the National Ignition Facility (NIF), the results of the now…
Visionary report unveils ambitious roadmap to harness the power of AI in scientific discovery
Innovations in artificial intelligence (AI) are rapidly shaping our world, from virtual assistants and chatbots to self-driving cars and automated manufacturing. Seizing on the potential of AI to transform science, the nation’s leading experts in science and technology have released a blueprint for the United States to accelerate progress by expanding its capabilities in…
LLNL’s Diachin takes helm of DOE’s Exascale Computing Project
Lawrence Livermore National Laboratory’s Lori Diachin will take over as director of the Department of Energy’s Exascale Computing Project on June 1, guiding the successful, multi-institutional high-performance computing effort through its final stages. Diachin, who is currently the principal deputy associate director for LLNL’s Computing Directorate, has served as ECP’s…
LLNL and SambaNova Systems announce additional AI hardware to support Lab’s cognitive simulation efforts
Lawrence Livermore National Laboratory (LLNL) and SambaNova Systems have announced the addition of SambaNova’s spatial data flow accelerator into LLNL’s Livermore Computing Center, part of an effort to upgrade the Lab’s cognitive simulation (CogSim) program. LLNL will integrate the new hardware to further investigate CogSim approaches combining artificial intelligence (AI)…
Energy Inks wins regional FLC award
A Lawrence Livermore National Laboratory (LLNL)-developed technology known as Energy Inks has won a best in region award for the Far West region from the Federal Laboratory Consortium for Technology Transfer (FLC). This is the technology’s second award in the past nine months, as it received an R&D 100 award last September as one of the top 100 industrial inventions in…
Girls Who Code ‘Altamont Connection’ brings students from Livermore and Tracy to the Lab
High school students from Livermore and Tracy visited Lawrence Livermore National Laboratory (LLNL) on May 5 for a first-of-its kind event bringing the two cities’ Girls Who Code (GWC) programs and others together on-site for group activities and tours under a new “Altamont Connection” moniker. The event, which included tours of the National Ignition Facility, Discovery…
Computing codes, simulations helped make ignition possible
Part 6 in a series of articles describing the elements of Lawrence Livermore National Laboratory's fusion breakthrough. For Lawrence Livermore National Laboratory (LLNL) physicist George Zimmerman, and for the hundreds of physicists, computer scientists and code developers who have worked on fusion for decades, computer simulations have been inexorably tied to the quest…
Computational Engineering is key to ignition success
In a room illuminated by blinking lights and glowing monitors, more than 2,000 synchronized computers are triggered to run 5 million lines of code. The intricate code language is responsible for aligning and firing 192 laser beams — and carrying some 800 channels of target diagnostic data — efficiently and reliably several times a day. This isn’t a scene from a science…
First-ever hybrid Women in Data Science Livermore event celebrates achievements, supports women in the field
Celebrating International Women’s Day on March 8, Lawrence Livermore National Laboratory (LLNL) women data scientists, Lab employees and other attendees interested in the field gathered at the Livermore Valley Open Campus for the annual Livermore Women in Data Science (WiDS) regional event held in conjunction with the global WiDS conference. Attendees met online and in…
High-fidelity simulation offers insight into 2013 Chelyabinsk meteor
On the morning of Feb. 15, 2013, a small asteroid exploded over Chelyabinsk, Russia, sending a loud shockwave and sonic boom across the region, damaging buildings and leaving around 1,200 people injured. The resulting meteor, with a diameter of approximate 20 meters (roughly the size of a six-story building), was one of the largest to be detected breaking up in the Earth’s…
HPCwire names LLNL’s Terri Quinn among 2023 'People to Watch'
The publication HPCwire today announced Lawrence Livermore National Laboratory’s Deputy Associate Director for High Performance Computing (HPC) Terri Quinn has been named among its “People to Watch” for 2023. Celebrating its 21st year, the annual HPCwire program recognizes HPC professionals who play leading roles in driving innovation within their chosen fields and make…
LLNL researchers develop method for real-time defect detection in metal 3D-printed parts
Lawrence Livermore National Laboratory (LLNL) engineers and scientists have developed a method for detecting and predicting strut defects in 3D-printed metal lattice structures during a print through a combination of monitoring, imaging techniques and multi-physics simulations. The high-strength and low-density properties of metallic lattices have found applications in…
‘Science on Saturday’ lecture to discuss the capabilities and uses of supercomputing resources
Who: Lawrence Livermore National Laboratory (LLNL) scientist Jane Herriman will be joined by Tracy High School biology teacher Erin McKay to present “Supersizing Computing: 70 Years of HPC.” The event is the third lecture in the 2023 series of Science on Saturdays lectures showcasing “70 Years of Science” at the Laboratory. What: This presentation will discuss how the ever…
LLNL’s Doerfert named Better Scientific Software fellow
Lawrence Livermore National Laboratory (LLNL) computer scientist Johannes Doerfert was recently named one of the 2023 Better Scientific Software (BSSw) fellows, a government-funded program providing recognition and funding to leaders and advocates of high-quality scientific software. A member of LLNL’s Center for Applied Scientific Computing, Doerfert was one of six…
Skywing: Open-source software aids collaborative autonomy applications
A new software developed at Lawrence Livermore National Laboratory (LLNL), and known as Skywing, provides domain scientists working to protect the nation’s critical infrastructure with a high-reliability, real-time software platform for collaborative autonomy applications. The U.S. modern critical infrastructure — from the electrical grid that sends power to homes to the…
LLNL, University of California initiative fosters academic partnership
A new joint initiative between the Lawrence Livermore National Laboratory (LLNL) Weapons and Complex Integration (WCI) Directorate and the University of California (UC) is aimed at developing next generation academic leadership with strong and enduring national laboratory connections. The LLNL Early Career UC Faculty Initiative is accepting proposals from untenured, tenure…
LLNL’s de Supinski named 2022 ACM fellow
The Association for Computing Machinery (ACM) has named Lawrence Livermore National Laboratory’s Chief Technology Officer for Livermore Computing (LC) Bronis R. de Supinski as a 2022 ACM fellow, recognizing him for his contributions to the design of large-scale systems and their programming systems and software. The prestigious ACM fellows program honors the top 1% of ACM…
LLNL staff returns to Texas-sized Supercomputing Conference
The 2022 International Conference for High Performance Computing, Networking, Storage, and Analysis (SC22) returned to Dallas as a large contingent of Lawrence Livermore National Laboratory (LLNL) staff participated in sessions, panels, paper presentations and workshops centered around high performance computing (HPC). The world’s largest conference of its kind celebrated…
