The latest issue of LLNL's magazine marks the 20th anniversary of the Computing Grand Challenge.

With the arrival of the exascale supercomputer El Capitan, Lawrence Livermore National Laboratory researchers are entering a new era of scientific simulation — one in which they can model extreme physical events with unprecedented resolution, realism and speed.

In a paper published in Science, Lawrence Livermore National Laboratory researchers detail how they used physics-informed deep learning and a cognitive simulation framework to forecast the success of the historic Dec. 5, 2022 fusion ignition shot, predicting a greater than 70% probability that it would exceed the energy breakeven point — producing more energy from the fusion reaction than the laser energy used to drive it.

LLNL is home to the world’s most complete set of ICF modeling and simulation tools, encapsulating the intricacies of laser light interaction, electron and x-ray transport, nonequilibrium atomic physics, magnetohydrodynamics, and fusion burn.

Scientists at LLNL have helped develop an advanced, real-time tsunami forecasting system—powered by El Capitan, the world’s fastest supercomputer—that could dramatically improve early warning capabilities for coastal communities near earthquake zones.

A unique laser optic design and two novel open-source software projects bring the Laboratory’s R&D 100 awards total to 182.

As described in a recent paper published by Science, a new cancer drug candidate developed by Lawrence Livermore National Laboratory, BBOT (BridgeBio Oncology Therapeutics) and the Frederick National Laboratory for Cancer Research has demonstrated the ability to block tumor growth without triggering a common and debilitating side effect.

Nicknamed SUM25, Spack’s first user meeting showcased new development and a thriving community.

LLNL's flagship exascale machine maintained its status as the fastest supercomputer on the planet—claiming the No. 1 spot on not just one, but three of the most prestigious HPC rankings.

Research recognized at the HiPC IEEE conference proposes using an optimized version of OpenMP for vendor-agnostic GPU performance, portability, and scalability.

LLNL participates in the ISC High Performance Conference (ISC24) on June 10–13.

A new just-in-time compilation approach leverages LLVM intermediate representation to optimize GPU kernels with portability to any GPU architecture.

Researchers from LLNL, in collaboration with other leading institutions, have successfully used an AI-driven platform to preemptively optimize an antibody to neutralize a broad diversity of SARS-CoV-2 variants.

People to Watch are at the forefront of HPC trends, adapting new technology to the rapidly changing world in order to unlock the answers to the biggest societal challenges of our time and make the impossible, possible.

Over the next three years, CASC researchers and collaborators will integrate LLMs into HPC software to boost performance and sustainability.

The latest issue of LLNL's magazine explains how the world’s most powerful supercomputer helps scientists safeguard the U.S. nuclear stockpile.

LLNL, Arizona State University and Michigan State University will dive deep into uncovering the compositions of 70 exoplanets through the Computing Grand Challenge Program, which allocates significant quantities of institutional computational resources to scientists to perform cutting-edge research.

LLNL's Bruce Hendrickson joins other HPC luminaries in this op-ed about the future of the field.

The latest episode of the Big Ideas Lab podcast investigates the use of artificial intelligence for drug discovery and other uses.

Todd Gamblin has a well-deserved reputation in the HPC software community as a passionate engineer who enjoys rolling up his sleeves and diving into technical problems. It’s not a stretch to see how he got hooked on HPC.

Among the honorees was the Exascale Computing Project leadership team, which successfully delivered the 7-year, $1.8 billion collaboration among six DOE national laboratories.

Presented last fall at a conference, a new approach to software binary analysis incorporates large-scale training data and hierarchical embeddings.

Hundreds of current and former LLNL employees, government officials, and industry leaders gathered on January 9 to mark a monumental achievement: the dedication of El Capitan, the world’s fastest supercomputer.

The event marked a monumental achievement with the acceptance and deployment of the first exascale computing system built for the NNSA, a historic milestone in national security and scientific computing recognizing the collaborative efforts of government, industry and scientific leaders.

You can read "The Road to El Capitan" web articles on our Computing.llnl.gov site. You can also find a download of the booklet and our sheet of fun facts at the same URL.